Writing
A Complete List of All (arXiv) Adversarial Example Papers

by Nicholas Carlini 2019-06-15



It can be hard to stay up-to-date on the published papers in the field of adversarial examples, where we have seen massive growth in the number of papers written each year. I have been somewhat religiously keeping track of these papers for the last few years, and realized it may be helpful for others to release this list.

The only requirement I used for selecting papers for this list is that it is primarily a paper about adversarial examples, or extensively uses adversarial examples. Due to the sheer quantity of papers, I can't guarantee that I actually have found all of them.

But I did try.

I also may have included papers that don't match these criteria (and are about something different instead), or made inconsistent judgement calls as to whether or not any given paper is mainly an adversarial example paper. Send me an email if something is wrong and I'll correct it.

As a result, this list is completely un-filtered. Everything that mainly presents itself as an adversarial example paper is listed here; I pass no judgement of quality. For a curated list of papers that I think are excellent and worth reading, see the Adversarial Machine Learning Reading List.

One final note about the data. This list automatically updates with new papers, even before I get a chance to manually filter through them. I do this filtering roughly twice a week, and it's then that I'll remove the ones that aren't related to adversarial examples. As a result, there may be some false positives on the most recent few entries. The new un-verified entries will have a probability indicated that my simplistic (but reasonably well calibrated) bag-of-words classifier believes the given paper is actually about adversarial examples.

The full paper list appears below. I've also released a TXT file (and a TXT file with abstracts) and a JSON file with the same data. If you do anything interesting with this data I'd be happy to hear from you what it was.


Paper List

2022-11-30 Towards Interpreting Vulnerability of Multi-Instance Learning via Customized and Universal Adversarial Perturbations. (87%)Yu-Xuan Zhang; Hua Meng; Xuemei Cao; Zhengchun Zhou; Mei Yang Efficient Adversarial Input Generation via Neural Net Patching. (73%)Tooba Khan; Kumar Madhukar; Subodh Vishnu Sharma Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. (69%)Kun Xiang; Xing Zhang; Jinwen She; Jinpeng Liu; Haohan Wang; Shiqi Deng; Shancheng Jiang Improved Smoothed Analysis of 2-Opt for the Euclidean TSP. (8%)Bodo Manthey; Rhijn Jesse van 2022-11-29 Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion. (99%)Kui Zhang; Hang Zhou; Jie Zhang; Qidong Huang; Weiming Zhang; Nenghai Yu Understanding and Enhancing Robustness of Concept-based Models. (99%)Sanchit Sinha; Mengdi Huai; Jianhui Sun; Aidong Zhang Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples. (88%)Inderjeet Singh; Kazuya Kakizaki; Toshinori Araki Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering. (83%)Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks. (73%)Mathias Lechner; Đorđe Žikelić; Krishnendu Chatterjee; Thomas A. Henzinger; Daniela Rus AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification. (54%)Suorong Yang; Jinqiao Li; Jian Zhao; Furao Shen A3T: Accuracy Aware Adversarial Training. (10%)Enes Altinisik; Safa Messaoud; Husrev Taha Sencar; Sanjay Chawla Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning. (1%)Christopher J. Holder; Majid Khonji; Jorge Dias; Muhammad Shafique 2022-11-28 Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning. (95%)Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. (83%)Gyojin Han; Jaehyun Choi; Hyeong Gwon Hong; Junmo Kim Towards More Robust Interpretation via Local Gradient Alignment. (76%)Sunghwan Joo; Seokhyeon Jeong; Juyeon Heo; Adrian Weller; Taesup Moon Understanding the Impact of Adversarial Robustness on Accuracy Disparity. (15%)Yuzheng Hu; Fan Wu; Hongyang Zhang; Han Zhao How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective. (13%)Guang Yang; Yu Zhou; Wenhua Yang; Tao Yue; Xiang Chen; Taolue Chen Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning. (8%)Xiaoyue Duan; Guoliang Kang; Runqi Wang; Shumin Han; Song Xue; Tian Wang; Baochang Zhang Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers. (8%)Shanshan Xu; Irina Broda; Rashid Haddad; Marco Negrini; Matthias Grabmair Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning. (3%)Leon Bungert; Kerrek Stinson CoNAL: Anticipating Outliers with Large Language Models. (1%)Albert Xu; Xiang Ren; Robin Jia 2022-11-27 Imperceptible Adversarial Attack via Invertible Neural Networks. (99%)Zihan Chen; Ziyue Wang; Junjie Huang; Wentao Zhao; Xiao Liu; Dejian Guan Foiling Explanations in Deep Neural Networks. (98%)Snir Vitrack Tamam; Raz Lapid; Moshe Sipper Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning. (84%)Yunchao Zhang; Zonglin Di; Kaiwen Zhou; Cihang Xie; Xin Wang Federated Learning Attacks and Defenses: A Survey. (47%)Yao Chen; Yijie Gui; Hong Lin; Wensheng Gan; Yongdong Wu Adversarial Rademacher Complexity of Deep Neural Networks. (47%)Jiancong Xiao; Yanbo Fan; Ruoyu Sun; Zhi-Quan Luo Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs. (38%)Guangrun Wang; Philip H. S. Torr 2022-11-26 Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning. (99%)Ethan Rathbun; Kaleel Mahmood; Sohaib Ahmad; Caiwen Ding; Dijk Marten van 2022-11-25 Boundary Adversarial Examples Against Adversarial Overfitting. (99%)Muhammad Zaid Hameed; Beat Buesser Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network. (98%)Iordanis Fostiropoulos; Laurent Itti Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. (3%)Yixin Liu; Yizhen Zheng; Daokun Zhang; Vincent CS Lee; Shirui Pan TrustGAN: Training safe and trustworthy deep learning models through generative adversarial networks. (1%)Hélion du Mas des Bourboux 2022-11-24 SAGA: Spectral Adversarial Geometric Attack on 3D Meshes. (98%)Tomer Stolik; Itai Lang; Shai Avidan Explainable and Safe Reinforcement Learning for Autonomous Air Mobility. (92%)Lei Wang; Hongyu Yang; Yi Lin; Suwan Yin; Yuankai Wu Tracking Dataset IP Use in Deep Neural Networks. (76%)Seonhye Park; Alsharif Abuadbba; Shuo Wang; Kristen Moore; Yansong Gao; Hyoungshick Kim; Surya Nepal Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision Models. (8%)Jacob Shams; Ben Nassi; Ikuya Morikawa; Toshiya Shimizu; Asaf Shabtai; Yuval Elovici Generative Joint Source-Channel Coding for Semantic Image Transmission. (1%)Ecenaz Erdemir; Tze-Yang Tung; Pier Luigi Dragotti; Deniz Gunduz CycleGANWM: A CycleGAN watermarking method for ownership verification. (1%)Dongdong Lin; Benedetta Tondi; Bin Li; Mauro Barni 2022-11-23 Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition. (99%)Rohit Gupta; Naveed Akhtar; Gaurav Kumar Nayak; Ajmal Mian; Mubarak Shah Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners. (99%)Elre T. Oldewage; John Bronskill; Richard E. Turner Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. (76%)Shengcai Liu; Fu Peng; Ke Tang Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. (62%)Huma Jamil; Yajing Liu; Christina Cole; Nathaniel Blanchard; Emily J. King; Michael Kirby; Christopher Peterson Privacy-Enhancing Optical Embeddings for Lensless Classification. (11%)Eric Bezzam; Martin Vetterli; Matthieu Simeoni Principled Data-Driven Decision Support for Cyber-Forensic Investigations. (1%)Soodeh Atefi; Sakshyam Panda; Manos Panaousis; Aron Laszka Data Provenance Inference in Machine Learning. (1%)Mingxue Xu; Xiang-Yang Li 2022-11-22 Benchmarking Adversarially Robust Quantum Machine Learning at Scale. (99%)Maxwell T. West; Sarah M. Erfani; Christopher Leckie; Martin Sevior; Lloyd C. L. Hollenberg; Muhammad Usman PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples. (99%)Shengshan Hu; Junwei Zhang; Wei Liu; Junhui Hou; Minghui Li; Leo Yu Zhang; Hai Jin; Lichao Sun Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces. (98%)Shengbang Fang; Matthew C Stamm Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. (70%)Zifan Wang; Nan Ding; Tomer Levinboim; Xi Chen; Radu Soricut Backdoor Cleansing with Unlabeled Data. (70%)Lu Pang; Tao Sun; Haibin Ling; Chao Chen SoK: Inference Attacks and Defenses in Human-Centered Wireless Sensing. (69%)Wei Sun; Tingjun Chen; Neil Gong 2022-11-21 Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. (99%)Sizhe Chen; Geng Yuan; Xinwen Cheng; Yifan Gong; Minghai Qin; Yanzhi Wang; Xiaolin Huang Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization. (99%)Jiafeng Wang; Zhaoyu Chen; Kaixun Jiang; Dingkang Yang; Lingyi Hong; Yan Wang; Wenqiang Zhang Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack. (99%)Yunfeng Diao; He Wang; Tianjia Shao; Yong-Liang Yang; Kun Zhou; David Hogg Addressing Mistake Severity in Neural Networks with Semantic Knowledge. (92%)Natalie Abreu; Nathan Vaska; Victoria Helus Efficient Generalization Improvement Guided by Random Weight Perturbation. (68%)Tao Li; Weihao Yan; Zehao Lei; Yingwen Wu; Kun Fang; Ming Yang; Xiaolin Huang CLAWSAT: Towards Both Robust and Accurate Code Models. (56%)Jinghan Jia; Shashank Srikant; Tamara Mitrovska; Chuang Gan; Shiyu Chang; Sijia Liu; Una-May O'Reilly Fairness Increases Adversarial Vulnerability. (54%)Cuong Tran; Keyu Zhu; Ferdinando Fioretto; Henternyck Pascal Van Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving. (10%)Yinbo Yu; Jiajia Liu SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks. (8%)Sunder Ali Khowaja; Parus Khuwaja; Kapal Dev; Angelos Antonopoulos Understanding and Improving Visual Prompting: A Label-Mapping Perspective. (2%)Aochuan Chen; Yuguang Yao; Pin-Yu Chen; Yihua Zhang; Sijia Liu A Survey on Backdoor Attack and Defense in Natural Language Processing. (2%)Xuan Sheng; Zhaoyang Han; Piji Li; Xiangmao Chang Privacy in Practice: Private COVID-19 Detection in X-Ray Images. (1%)Lucas Lange; Maja Schneider; Erhard Rahm A Tale of Frozen Clouds: Quantifying the Impact of Algorithmic Complexity Vulnerabilities in Popular Web Servers. (1%)Masudul Hasan Masud Bhuiyan; Cristian-Alexandru Staicu 2022-11-20 Spectral Adversarial Training for Robust Graph Neural Network. (99%)Jintang Li; Jiaying Peng; Liang Chen; Zibin Zheng; Tingting Liang; Qing Ling Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification. (81%)Wenli Sun; Xinyang Jiang; Shuguang Dou; Dongsheng Li; Duoqian Miao; Cheng Deng; Cairong Zhao Adversarial Cheap Talk. (4%)Chris Lu; Timon Willi; Alistair Letcher; Jakob Foerster Deep Composite Face Image Attacks: Generation, Vulnerability and Detection. (2%)Jag Mohan Singh; Raghavendra Ramachandra AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation. (2%)Hyungmin Kim; Sungho Suh; Sunghyun Baek; Daehwan Kim; Daun Jeong; Hansang Cho; Junmo Kim 2022-11-19 Towards Adversarial Robustness of Deep Vision Algorithms. (92%)Hanshu Yan Phonemic Adversarial Attack against Audio Recognition in Real World. (87%)Jiakai Wang; Zhendong Chen; Zixin Yin; Qinghong Yang; Xianglong Liu Towards Robust Dataset Learning. (82%)Yihan Wu; Xinda Li; Florian Kerschbaum; Heng Huang; Hongyang Zhang Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. (80%)Mingxuan Ju; Yujie Fan; Chuxu Zhang; Yanfang Ye Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization. (9%)Amirmohammad Pasdar; Young Choon Lee; Seok-Hee Hong 2022-11-18 Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events. (98%)Bibek Upadhayay; Vahid Behzadan Adversarial Detection by Approximation of Ensemble Boundary. (75%)T. Windeatt Leveraging Algorithmic Fairness to Mitigate Blackbox Attribute Inference Attacks. (68%)Jan Aalmoes; Vasisht Duddu; Antoine Boutet Invariant Learning via Diffusion Dreamed Distribution Shifts. (10%)Priyatham Kattakinda; Alexander Levine; Soheil Feizi Improving Robustness of TCM-based Robust Steganography with Variable Robustness. (1%)Jimin Zhang; Xianfeng Zhao; Xiaolei He Intrusion Detection in Internet of Things using Convolutional Neural Networks. (1%)Martin Kodys; Zhi Lu; Kar Wai Fok; Vrizlynn L. L. Thing Provable Defense against Backdoor Policies in Reinforcement Learning. (1%)Shubham Kumar Bharti; Xuezhou Zhang; Adish Singla; Xiaojin Zhu 2022-11-17 Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks. (99%)Stephen Casper; Kaivalya Hariharan; Dylan Hadfield-Menell Towards Good Practices in Evaluating Transfer Adversarial Attacks. (93%)Zhengyu Zhao; Hanwei Zhang; Renjue Li; Ronan Sicre; Laurent Amsaleg; Michael Backes Assessing Neural Network Robustness via Adversarial Pivotal Tuning. (92%)Peter Ebert Christensen; Vésteinn Snæbjarnarson; Andrea Dittadi; Serge Belongie; Sagie Benaim UPTON: Unattributable Authorship Text via Data Poisoning. (86%)Ziyao Wang; Thai Le; Dongwon Lee Generalizable Deepfake Detection with Phase-Based Motion Analysis. (50%)Ekta Prashnani; Michael Goebel; B. S. Manjunath More Effective Centrality-Based Attacks on Weighted Networks. (15%)Balume Mburano; Weisheng Si; Qing Cao; Wei Xing Zheng Potential Auto-driving Threat: Universal Rain-removal Attack. (2%)Jinchegn Hu; Jihao Li; Zhuoran Hou; Jingjing Jiang; Cunjia Liu; Yuanjian Zhang Data-Centric Debugging: mitigating model failures via targeted data collection. (1%)Sahil Singla; Atoosa Malemir Chegini; Mazda Moayeri; Soheil Feiz A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning. (1%)Guanqin Zhang; Jiankun Sun; Feng Xu; H. M. N. Dilum Bandara; Shiping Chen; Yulei Sui; Tim Menzies 2022-11-16 T-SEA: Transfer-based Self-Ensemble Attack on Object Detection. (99%)Hao Huang; Ziyan Chen; Huanran Chen; Yongtao Wang; Kevin Zhang Efficiently Finding Adversarial Examples with DNN Preprocessing. (99%)Avriti Chauhan; Mohammad Afzal; Hrishikesh Karmarkar; Yizhak Elboher; Kumar Madhukar; Guy Katz Improving Interpretability via Regularization of Neural Activation Sensitivity. (92%)Ofir Moshe; Gil Fidel; Ron Bitton; Asaf Shabtai Attacking Object Detector Using A Universal Targeted Label-Switch Patch. (86%)Avishag Shapira; Ron Bitton; Dan Avraham; Alon Zolfi; Yuval Elovici; Asaf Shabtai Differentially Private Optimizers Can Learn Adversarially Robust Models. (83%)Yuan Zhang; Zhiqi Bu Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection. (56%)Yang Yang; Hongjian Sun; Jialei Gong; Yali Du; Di Yu Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning. (38%)Brian Testa; Yi Xiao; Avery Gump; Asif Salekin Holistic Evaluation of Language Models. (2%)Percy Liang; Rishi Bommasani; Tony Lee; Dimitris Tsipras; Dilara Soylu; Michihiro Yasunaga; Yian Zhang; Deepak Narayanan; Yuhuai Wu; Ananya Kumar; Benjamin Newman; Binhang Yuan; Bobby Yan; Ce Zhang; Christian Cosgrove; Christopher D. Manning; Christopher Ré; Diana Acosta-Navas; Drew A. Hudson; Eric Zelikman; Esin Durmus; Faisal Ladhak; Frieda Rong; Hongyu Ren; Huaxiu Yao; Jue Wang; Keshav Santhanam; Laurel Orr; Lucia Zheng; Mert Yuksekgonul; Mirac Suzgun; Nathan Kim; Neel Guha; Niladri Chatterji; Omar Khattab; Peter Henderson; Qian Huang; Ryan Chi; Sang Michael Xie; Shibani Santurkar; Surya Ganguli; Tatsunori Hashimoto; Thomas Icard; Tianyi Zhang; Vishrav Chaudhary; William Wang; Xuechen Li; Yifan Mai; Yuhui Zhang; Yuta Koreeda Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems. (1%)Alessio Russo; Alexandre Proutiere 2022-11-15 Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. (99%)Zhihao Zhu; Chenwang Wu; Min Zhou; Hao Liao; Defu Lian; Enhong Chen Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning. (99%)Yiran Huang; Yexu Zhou; Michael Hefenbrock; Till Riedel; Likun Fang; Michael Beigl MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack. (99%)Yunrui Yu; Xitong Gao; Cheng-Zhong Xu Person Text-Image Matching via Text-Featur Interpretability Embedding and External Attack Node Implantation. (92%)Fan Li; Hang Zhou; Huafeng Li; Yafei Zhang; Zhengtao Yu Backdoor Attacks on Time Series: A Generative Approach. (70%)Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; James Bailey Improved techniques for deterministic l2 robustness. (22%)Sahil Singla; Soheil Feizi CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning. (22%)Jinghuai Zhang; Hongbin Liu; Jinyuan Jia; Neil Zhenqiang Gong Backdoor Attacks for Remote Sensing Data with Wavelet Transform. (12%)Nikolaus Dräger; Yonghao Xu; Pedram Ghamisi 2022-11-14 Efficient Adversarial Training with Robust Early-Bird Tickets. (92%)Zhiheng Xi; Rui Zheng; Tao Gui; Qi Zhang; Xuanjing Huang Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection. (13%)M. Ibsen; C. Rathgeb; F. Brechtel; R. Klepp; K. Pöppelmann; A. George; S. Marcel; C. Busch Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. (5%)Jialiang Xu; Mengyu Zhou; Xinyi He; Shi Han; Dongmei Zhang Explainer Divergence Scores (EDS): Some Post-Hoc Explanations May be Effective for Detecting Unknown Spurious Correlations. (5%)Shea Cardozo; Gabriel Islas Montero; Dmitry Kazhdan; Botty Dimanov; Maleakhi Wijaya; Mateja Jamnik; Pietro Lio Robustifying Deep Vision Models Through Shape Sensitization. (2%)Aditay Tripathi; Rishubh Singh; Anirban Chakraborty; Pradeep Shenoy 2022-11-13 Certifying Robustness of Convolutional Neural Networks with Tight Linear Approximation. (26%)Yuan Xiao; Tongtong Bai; Mingzheng Gu; Chunrong Fang; Zhenyu Chen 2022-11-12 Adversarial and Random Transformations for Robust Domain Adaptation and Generalization. (75%)Liang Xiao; Jiaolong Xu; Dawei Zhao; Erke Shang; Qi Zhu; Bin Dai 2022-11-11 Generating Textual Adversaries with Minimal Perturbation. (98%)Xingyi Zhao; Lu Zhang; Depeng Xu; Shuhan Yuan On the robustness of non-intrusive speech quality model by adversarial examples. (98%)Hsin-Yi Lin; Huan-Hsin Tseng; Yu Tsao An investigation of security controls and MITRE ATT\&CK techniques. (47%)Md Rayhanur Rahman; Laurie Williams Investigating co-occurrences of MITRE ATT\&CK Techniques. (12%)Md Rayhanur Rahman; Laurie Williams Remapped Cache Layout: Thwarting Cache-Based Side-Channel Attacks with a Hardware Defense. (9%)Wei Song; Rui Hou; Peng Liu; Xiaoxin Li; Peinan Li; Lutan Zhao; Xiaofei Fu; Yifei Sun; Dan Meng 2022-11-10 Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses. (99%)Abhiram Kolli; Muhammad Jehanzeb Mirza; Horst Possegger; Horst Bischof Impact of Adversarial Training on Robustness and Generalizability of Language Models. (99%)Enes Altinisik; Hassan Sajjad; Husrev Taha Sencar; Safa Messaoud; Sanjay Chawla Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples. (98%)Meng Chen; Li Lu; Jiadi Yu; Yingying Chen; Zhongjie Ba; Feng Lin; Kui Ren Stay Home Safe with Starving Federated Data. (80%)Jaechul Roh; Yajun Fang MSDT: Masked Language Model Scoring Defense in Text Domain. (38%)Jaechul Roh; Minhao Cheng; Yajun Fang Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training. (3%)Lixiang Zhang; Jia Li Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations. (1%)Sheng-Feng Yu; Wei-Chen Chiu 2022-11-09 On the Robustness of Explanations of Deep Neural Network Models: A Survey. (50%)Amlan Jyoti; Karthik Balaji Ganesh; Manoj Gayala; Nandita Lakshmi Tunuguntla; Sandesh Kamath; Vineeth N Balasubramanian Are All Edges Necessary? A Unified Framework for Graph Purification. (5%)Zishan Gu; Jintang Li; Liang Chen QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. (3%)Ana-Maria Cretu; Florimond Houssiau; Antoine Cully; Montjoye Yves-Alexandre de Accountable and Explainable Methods for Complex Reasoning over Text. (2%)Pepa Atanasova 2022-11-08 Preserving Semantics in Textual Adversarial Attacks. (99%)David Herel; Hugo Cisneros; Tomas Mikolov NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? (98%)Saadia Gabriel; Hamid Palangi; Yejin Choi How Fraudster Detection Contributes to Robust Recommendation. (54%)Yuni Lai; Kai Zhou Lipschitz Continuous Algorithms for Graph Problems. (16%)Soh Kumabe; Yuichi Yoshida Learning advisor networks for noisy image classification. (1%)Simone Ricci; Tiberio Uricchio; Bimbo Alberto Del 2022-11-07 Are AlphaZero-like Agents Robust to Adversarial Perturbations? (99%)Li-Cheng Lan; Huan Zhang; Ti-Rong Wu; Meng-Yu Tsai; I-Chen Wu; Cho-Jui Hsieh Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation. (82%)Zijie Lou; Gang Cao; Man Lin Deviations in Representations Induced by Adversarial Attacks. (70%)Daniel Steinberg; Paul Munro Interpreting deep learning output for out-of-distribution detection. (1%)Damian Matuszewski; Ida-Maria Sintorn Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks. (1%)Naoya Tezuka; Hideya Ochiai; Yuwei Sun; Hiroshi Esaki 2022-11-06 Contrastive Weighted Learning for Near-Infrared Gaze Estimation. (31%)Adam Lee 2022-11-05 Textual Manifold-based Defense Against Natural Language Adversarial Examples. (99%)Dang Minh Nguyen; Luu Anh Tuan Stateful Detection of Adversarial Reprogramming. (96%)Yang Zheng; Xiaoyi Feng; Zhaoqiang Xia; Xiaoyue Jiang; Maura Pintor; Ambra Demontis; Battista Biggio; Fabio Roli Robust Lottery Tickets for Pre-trained Language Models. (83%)Rui Zheng; Rong Bao; Yuhao Zhou; Di Liang; Sirui Wang; Wei Wu; Tao Gui; Qi Zhang; Xuanjing Huang 2022-11-04 Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning. (99%)Anaelia Ovalle; Evan Czyzycki; Cho-Jui Hsieh Logits are predictive of network type. (68%)Ali Borji An Adversarial Robustness Perspective on the Topology of Neural Networks. (64%)Morgane Goibert; Thomas Ricatte; Elvis Dohmatob Fairness-aware Regression Robust to Adversarial Attacks. (38%)Yulu Jin; Lifeng Lai Extension of Simple Algorithms to the Matroid Secretary Problem. (9%)Simon Park Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. (3%)Gaurav Verma; Vishwa Vinay; Ryan A. Rossi; Srijan Kumar Data Models for Dataset Drift Controls in Machine Learning With Images. (1%)Luis Oala; Marco Aversa; Gabriel Nobis; Kurt Willis; Yoan Neuenschwander; Michèle Buck; Christian Matek; Jerome Extermann; Enrico Pomarico; Wojciech Samek; Roderick Murray-Smith; Christoph Clausen; Bruno Sanguinetti 2022-11-03 Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. (99%)Xingxing Wei; Bangzheng Pu; Jiefan Lu; Baoyuan Wu Adversarial Defense via Neural Oscillation inspired Gradient Masking. (98%)Chunming Jiang; Yilei Zhang M-to-N Backdoor Paradigm: A Stealthy and Fuzzy Attack to Deep Learning Models. (98%)Linshan Hou; Zhongyun Hua; Yuhong Li; Leo Yu Zhang Robust Few-shot Learning Without Using any Adversarial Samples. (89%)Gaurav Kumar Nayak; Ruchit Rawal; Inder Khatri; Anirban Chakraborty Data-free Defense of Black Box Models Against Adversarial Attacks. (84%)Gaurav Kumar Nayak; Inder Khatri; Shubham Randive; Ruchit Rawal; Anirban Chakraborty Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise. (38%)Christian Heider Nielsen; Zheng-Hua Tan Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems. (33%)Chong Chen; Ying Gao; Leyu Shi; Siquan Huang Unintended Memorization and Timing Attacks in Named Entity Recognition Models. (12%)Rana Salal Ali; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Tham Nguyen; Ian David Wood; Dali Kaafar 2022-11-02 Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise. (99%)Jhih-Cing Huang; Yu-Lin Tsai; Chao-Han Huck Yang; Cheng-Fang Su; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks. (99%)Amira Guesmi; Ihsen Alouani; Khaled N. Khasawneh; Mouna Baklouti; Tarek Frikha; Mohamed Abid; Nael Abu-Ghazaleh Improving transferability of 3D adversarial attacks with scale and shear transformations. (99%)Jinali Zhang; Yinpeng Dong; Jun Zhu; Jihong Zhu; Minchi Kuang; Xiaming Yuan Adversarial Attack on Radar-based Environment Perception Systems. (99%)Amira Guesmi; Ihsen Alouani Isometric Representations in Neural Networks Improve Robustness. (62%)Kosio Beshkov; Jonas Verhellen; Mikkel Elle Lepperød BATT: Backdoor Attack with Transformation-based Triggers. (56%)Tong Xu; Yiming Li; Yong Jiang; Shu-Tao Xia Untargeted Backdoor Attack against Object Detection. (50%)Chengxiao Luo; Yiming Li; Yong Jiang; Shu-Tao Xia Generative Adversarial Training Can Improve Neural Language Models. (33%)Sajad Movahedi; Azadeh Shakery Backdoor Defense via Suppressing Model Shortcuts. (3%)Sheng Yang; Yiming Li; Yong Jiang; Shu-Tao Xia 2022-11-01 LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification. (99%)Xing Chen; Jie Wang; Xiao-Lei Zhang; Wei-Qiang Zhang; Kunde Yang The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. (99%)Junhao Dong; Seyed-Mohsen Moosavi-Dezfooli; Jianhuang Lai; Xiaohua Xie DensePure: Understanding Diffusion Models towards Adversarial Robustness. (98%)Chaowei Xiao; Zhongzhu Chen; Kun Jin; Jiongxiao Wang; Weili Nie; Mingyan Liu; Anima Anandkumar; Bo Li; Dawn Song Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. (87%)Jianan Zhou; Jianing Zhu; Jingfeng Zhang; Tongliang Liu; Gang Niu; Bo Han; Masashi Sugiyama Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. (82%)Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy Vatolin The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. (80%)Virat Shejwalkar; Lingjuan Lyu; Amir Houmansadr Maximum Likelihood Distillation for Robust Modulation Classification. (69%)Javier Maroto; Gérôme Bovet; Pascal Frossard FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness. (45%)Wenhao Wu; Wei Li; Jiachen Liu; Xinyan Xiao; Ziqiang Cao; Sujian Li; Hua Wu Amplifying Membership Exposure via Data Poisoning. (22%)Yufei Chen; Chao Shen; Yun Shen; Cong Wang; Yang Zhang ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph. (13%)Jinyin Chen; Jie Ge; Haibin Zheng 2022-10-31 Scoring Black-Box Models for Adversarial Robustness. (98%)Jian Vora; Pranay Reddy Samala ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation. (88%)Tomokatsu Takahashi; Masanori Yamada; Yuuki Yamanaka; Tomoya Yamashita Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy. (16%)Daphne Ippolito; Florian Tramèr; Milad Nasr; Chiyuan Zhang; Matthew Jagielski; Katherine Lee; Christopher A. Choquette-Choo; Nicholas Carlini 2022-10-30 Poison Attack and Defense on Deep Source Code Processing Models. (99%)Jia Li; Zhuo Li; Huangzhao Zhang; Ge Li; Zhi Jin; Xing Hu; Xin Xia Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. (99%)Aiwei Liu; Honghai Yu; Xuming Hu; Shu'ang Li; Li Lin; Fukun Ma; Yawen Yang; Lijie Wen Benchmarking Adversarial Patch Against Aerial Detection. (99%)Jiawei Lian; Shaohui Mei; Shun Zhang; Mingyang Ma Symmetric Saliency-based Adversarial Attack To Speaker Identification. (92%)Jiadi Yao; Xing Chen; Xiao-Lei Zhang; Wei-Qiang Zhang; Kunde Yang FI-ODE: Certified and Robust Forward Invariance in Neural ODEs. (61%)Yujia Huang; Ivan Dario Jimenez Rodriguez; Huan Zhang; Yuanyuan Shi; Yisong Yue Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. (9%)The Viet Bui; Tien Mai; Thanh H. Nguyen 2022-10-29 On the Need of Neuromorphic Twins to Detect Denial-of-Service Attacks on Communication Networks. (10%)Holger Boche; Rafael F. Schaefer; H. Vincent Poor; Frank H. P. Fitzek 2022-10-28 Universal Adversarial Directions. (99%)Ching Lam Choi; Farzan Farnia Improving Transferability of Adversarial Examples on Face Recognition with Beneficial Perturbation Feature Augmentation. (99%)Fengfan Zhou; Hefei Ling; Yuxuan Shi; Jiazhong Chen; Zongyi Li; Qian Wang Improving Hyperspectral Adversarial Robustness using Ensemble Networks in the Presences of Multiple Attacks. (98%)Nicholas Soucy; Salimeh Yasaei Sekeh Distributed Black-box Attack against Image Classification Cloud Services. (89%)Han Wu; Sareh Rowlands; Johan Wahlstrom RoChBert: Towards Robust BERT Fine-tuning for Chinese. (75%)Zihan Zhang; Jinfeng Li; Ning Shi; Bo Yuan; Xiangyu Liu; Rong Zhang; Hui Xue; Donghong Sun; Chao Zhang Robust Boosting Forests with Richer Deep Feature Hierarchy. (56%)Jianqiao Wangni Localized Randomized Smoothing for Collective Robustness Certification. (26%)Jan Schuchardt; Tom Wollschläger; Aleksandar Bojchevski; Stephan Günnemann On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models. (1%)Mauro Conti; Jiaxin Li; Stjepan Picek Toward Reliable Neural Specifications. (1%)Chuqin Geng; Nham Le; Xiaojie Xu; Zhaoyue Wang; Arie Gurfinkel; Xujie Si 2022-10-27 TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems. (99%)Islam Debicha; Richard Bauwens; Thibault Debatty; Jean-Michel Dricot; Tayeb Kenaza; Wim Mees Isometric 3D Adversarial Examples in the Physical World. (99%)Yibo Miao; Yinpeng Dong; Jun Zhu; Xiao-Shan Gao TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. (92%)Yu Cao; Dianqi Li; Meng Fang; Tianyi Zhou; Jun Gao; Yibing Zhan; Dacheng Tao LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise. (86%)He Tang; He Wang Efficient and Effective Augmentation Strategy for Adversarial Training. (56%)Sravanti Addepalli; Samyak Jain; R. Venkatesh Babu Noise Injection Node Regularization for Robust Learning. (2%)Noam Levi; Itay M. Bloch; Marat Freytsis; Tomer Volansky Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather. (1%)Jinlong Li; Runsheng Xu; Jin Ma; Qin Zou; Jiaqi Ma; Hongkai Yu 2022-10-26 Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting. (99%)Pengyue Hou; Jie Han; Xingyu Li There is more than one kind of robustness: Fooling Whisper with adversarial examples. (98%)Raphael Olivier; Bhiksha Raj Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness. (86%)Jiahao Zhao; Wenji Mao BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. (75%)Mohaddeseh Bastan; Mihai Surdeanu; Niranjan Balasubramanian EIPSIM: Modeling Secure IP Address Allocation at Cloud Scale. (11%)Eric University of Wisconsin-Madison Pauley; Kyle Pennsylvania State University Domico; Blaine University of Wisconsin-Madison Hoak; Ryan University of Wisconsin-Madison Sheatsley; Quinn University of Wisconsin-Madison Burke; Yohan University of Wisconsin-Madison Beugin; Patrick University of Wisconsin-Madison McDaniel V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization. (10%)Jiangyi Zhejiang University Deng; Fei Zhejiang University Teng; Yanjiao Zhejiang University Chen; Xiaofu Wuhan University Chen; Zhaohui Wuhan University Wang; Wenyuan Zhejiang University Xu Rethinking the Reverse-engineering of Trojan Triggers. (5%)Zhenting Wang; Kai Mei; Hailun Ding; Juan Zhai; Shiqing Ma Cover Reproducible Steganography via Deep Generative Models. (1%)Kejiang Chen; Hang Zhou; Yaofei Wang; Menghan Li; Weiming Zhang; Nenghai Yu EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. (1%)Rouzbeh Behnia; Mohamamdreza Ebrahimi; Jason Pacheco; balaji Padmanabhan DEMIS: A Threat Model for Selectively Encrypted Visual Surveillance Data. (1%)Ifeoluwapo Aribilola; Mamoona Naveed Asghar; Brian Lee 2022-10-25 Adversarially Robust Medical Classification via Attentive Convolutional Neural Networks. (99%)Isaac Wasserman A White-Box Adversarial Attack Against a Digital Twin. (99%)Wilson Patterson; Ivan Fernandez; Subash Neupane; Milan Parmar; Sudip Mittal; Shahram Rahimi Adaptive Test-Time Defense with the Manifold Hypothesis. (98%)Zhaoyuan Yang; Zhiwei Xu; Jing Zhang; Richard Hartley; Peter Tu LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels. (98%)Jiebao Zhang; Wenhua Qian; Rencan Nie; Jinde Cao; Dan Xu Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. (98%)Sina Baharlouei; Fatemeh Sheikholeslami; Meisam Razaviyayn; Zico Kolter Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. (98%)James Lee Hu; Mohammadreza Ebrahimi; Weifeng Li; Xin Li; Hsinchun Chen Accelerating Certified Robustness Training via Knowledge Transfer. (73%)Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network. (64%)Huan Hua; Jun Yan; Xi Fang; Weiquan Huang; Huilin Yin; Wancheng Ge Towards Robust Recommender Systems via Triple Cooperative Defense. (61%)Qingyang Wang; Defu Lian; Chenwang Wu; Enhong Chen FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. (13%)Yulin Zhu; Liang Tong; Kai Zhou Towards Formal Approximated Minimal Explanations of Neural Networks. (12%)Shahaf Bassan; Guy Katz A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. (3%)M. Kuzlu; F. O. Catak; S. Sarp; U. Cali; O Gueler Robustness of Locally Differentially Private Graph Analysis Against Poisoning. (1%)Jacob Imola; Amrita Roy Chowdhury; Kamalika Chaudhuri 2022-10-24 Ares: A System-Oriented Wargame Framework for Adversarial ML. (99%)Farhan Ahmed; Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. (99%)Giovanni Apruzzese; Mauro Conti; Ying Yuan Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs. (96%)Haibin Zheng; Haiyang Xiong; Jinyin Chen; Haonan Ma; Guohan Huang On the Robustness of Dataset Inference. (81%)Sebastian Szyller; Rui Zhang; Jian Liu; N. Asokan Flexible Android Malware Detection Model based on Generative Adversarial Networks with Code Tensor. (16%)Zhao Yang; Fengyang Deng; Linxi Han Revisiting Sparse Convolutional Model for Visual Recognition. (11%)Xili Dai; Mingyang Li; Pengyuan Zhai; Shengbang Tong; Xingjian Gao; Shao-Lun Huang; Zhihui Zhu; Chong You; Yi Ma 2022-10-23 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. (68%)Kaiyuan Zhang; Guanhong Tao; Qiuling Xu; Siyuan Cheng; Shengwei An; Yingqi Liu; Shiwei Feng; Guangyu Shen; Pin-Yu Chen; Shiqing Ma; Xiangyu Zhang Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future. (45%)Guo-Jun Qi; Mubarak Shah 2022-10-22 ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. (99%)Fan Yin; Yao Li; Cho-Jui Hsieh; Kai-Wei Chang Hindering Adversarial Attacks with Implicit Neural Representations. (92%)Andrei A. Rusu; Dan A. Calian; Sven Gowal; Raia Hadsell GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections. (81%)Junyuan Fang; Haixian Wen; Jiajing Wu; Qi Xuan; Zibin Zheng; Chi K. Tse Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games. (26%)Maria-Florina Balcan; Rattana Pukdee; Pradeep Ravikumar; Hongyang Zhang Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation. (4%)Wenhao Wu; Wei Li; Jiachen Liu; Xinyan Xiao; Sujian Li; Yajuan Lyu 2022-10-21 Evolution of Neural Tangent Kernels under Benign and Adversarial Training. (99%)Noel Loo; Ramin Hasani; Alexander Amini; Daniela Rus The Dark Side of AutoML: Towards Architectural Backdoor Search. (68%)Ren Pang; Changjiang Li; Zhaohan Xi; Shouling Ji; Ting Wang Diffusion Visual Counterfactual Explanations. (10%)Maximilian Augustin; Valentyn Boreiko; Francesco Croce; Matthias Hein TCAB: A Large-Scale Text Classification Attack Benchmark. (10%)Kalyani Asthana; Zhouhang Xie; Wencong You; Adam Noack; Jonathan Brophy; Sameer Singh; Daniel Lowd A critical review of cyber-physical security for building automation systems. (2%)Guowen Li; Lingyu Ren; Yangyang Fu; Zhiyao Yang; Veronica Adetola; Jin Wen; Qi Zhu; Teresa Wu; K. Selcuk Candanf; Zheng O'Neill Extracted BERT Model Leaks More Information than You Think! (1%)Xuanli He; Chen Chen; Lingjuan Lyu; Qiongkai Xu 2022-10-20 Identifying Human Strategies for Generating Word-Level Adversarial Examples. (98%)Maximilian Mozes; Bennett Kleinberg; Lewis D. Griffin Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. (98%)Jiyang Guan; Jian Liang; Ran He Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. (98%)Hannah Chen; Yangfeng Ji; David Evans Learning Sample Reweighting for Accuracy and Adversarial Robustness. (93%)Chester Holtz; Tsui-Wei Weng; Gal Mishne New data poison attacks on machine learning classifiers for mobile exfiltration. (80%)Miguel A. Ramirez; Sangyoung Yoon; Ernesto Damiani; Hussam Al Hamadi; Claudio Agostino Ardagna; Nicola Bena; Young-Ji Byon; Tae-Yeon Kim; Chung-Suk Cho; Chan Yeob Yeun Similarity of Neural Architectures Based on Input Gradient Transferability. (62%)Jaehui Hwang; Dongyoon Han; Byeongho Heo; Song Park; Sanghyuk Chun; Jong-Seok Lee Attacking Motion Estimation with Adversarial Snow. (16%)Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn How Does a Deep Learning Model Architecture Impact Its Privacy? (5%)Guangsheng Zhang; Bo Liu; Huan Tian; Tianqing Zhu; Ming Ding; Wanlei Zhou Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario. (4%)Pedro Miguel Sánchez Sánchez; Alberto Huertas Celdrán; Enrique Tomás Martínez Beltrán; Daniel Demeter; Gérôme Bovet; Gregorio Martínez Pérez; Burkhard Stiller Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learning. (3%)Xiaoyi Chen; Baisong Xin; Shengfang Zhai; Shiqing Ma; Qingni Shen; Zhonghai Wu LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness. (3%)Xiaojun Xu; Linyi Li; Bo Li 2022-10-19 Few-shot Transferable Robust Representation Learning via Bilevel Attacks. (93%)Minseon Kim; Hyeonjeong Ha; Sung Ju Hwang Targeted Adversarial Self-Supervised Learning. (86%)Minseon Kim; Hyeonjeong Ha; Sooel Son; Sung Ju Hwang Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis. (83%)Ruinan Jin; Xiaoxiao Li Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey. (69%)Hui Cao; Wenlong Zou; Yinkun Wang; Ting Song; Mengjun Liu Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. (64%)Yangyi Chen; Hongcheng Gao; Ganqu Cui; Fanchao Qi; Longtao Huang; Zhiyuan Liu; Maosong Sun Model-Free Prediction of Adversarial Drop Points in 3D Point Clouds. (54%)Hanieh Naderi; Chinthaka Dinesh; Ivan V. Bajic; Shohreh Kasaei FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. (41%)Xiaoyu Cao; Jinyuan Jia; Zaixi Zhang; Neil Zhenqiang Gong Chaos Theory and Adversarial Robustness. (22%)Jonathan S. Kent Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. (16%)Ruihan Wu; Xiangyu Chen; Chuan Guo; Kilian Q. Weinberger Variational Model Perturbation for Source-Free Domain Adaptation. (1%)Mengmeng Jing; Xiantong Zhen; Jingjing Li; Cees G. M. Snoek 2022-10-18 Scaling Adversarial Training to Large Perturbation Bounds. (98%)Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu Not All Poisons are Created Equal: Robust Training against Data Poisoning. (97%)Yu Yang; Tian Yu Liu; Baharan Mirzasoleiman ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. (73%)Lan Jiang; Hao Zhou; Yankai Lin; Peng Li; Jie Zhou; Rui Jiang Analysis of Master Vein Attacks on Finger Vein Recognition Systems. (56%)Huy H. Nguyen; Trung-Nghia Le; Junichi Yamagishi; Isao Echizen Training set cleansing of backdoor poisoning by self-supervised representation learning. (56%)H. Wang; S. Karami; O. Dia; H. Ritter; E. Emamjomeh-Zadeh; J. Chen; Z. Xiang; D. J. Miller; G. Kesidis On the Adversarial Robustness of Mixture of Experts. (13%)Joan Puigcerver; Rodolphe Jenatton; Carlos Riquelme; Pranjal Awasthi; Srinadh Bhojanapalli Transferable Unlearnable Examples. (8%)Jie Ren; Han Xu; Yuxuan Wan; Xingjun Ma; Lichao Sun; Jiliang Tang Automatic Detection of Fake Key Attacks in Secure Messaging. (8%)Tarun Kumar Yadav; Devashish Gosain; Amir Herzberg; Daniel Zappala; Kent Seamons Improving Adversarial Robustness by Contrastive Guided Diffusion Process. (2%)Yidong Ouyang; Liyan Xie; Guang Cheng 2022-10-17 Towards Generating Adversarial Examples on Mixed-type Data. (99%)Han Xu; Menghai Pan; Zhimeng Jiang; Huiyuan Chen; Xiaoting Li; Mahashweta Das; Hao Yang Differential Evolution based Dual Adversarial Camouflage: Fooling Human Eyes and Object Detectors. (99%)Jialiang Sun; Tingsong Jiang; Wen Yao; Donghua Wang; Xiaoqian Chen Probabilistic Categorical Adversarial Attack & Adversarial Training. (99%)Pengfei He; Han Xu; Jie Ren; Yuxuan Wan; Zitao Liu; Jiliang Tang Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. (96%)Khoa D. Doan; Yingjie Lao; Ping Li DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. (87%)Gaurav Kumar Nayak; Ruchit Rawal; Anirban Chakraborty Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations. (78%)Julia El Zini; Mariette Awad Towards Fair Classification against Poisoning Attacks. (76%)Han Xu; Xiaorui Liu; Yuxuan Wan; Jiliang Tang Deepfake Text Detection: Limitations and Opportunities. (41%)Jiameng Pu; Zain Sarwar; Sifat Muhammad Abdullah; Abdullah Rehman; Yoonjin Kim; Parantapa Bhattacharya; Mobin Javed; Bimal Viswanath You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks. (15%)Yulong Cao; S. Hrushikesh Bhupathiraju; Pirouz Naghavi; Takeshi Sugawara; Z. Morley Mao; Sara Rampazzi Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. (9%)Zhiyuan Zhang; Lingjuan Lyu; Xingjun Ma; Chenguang Wang; Xu Sun Understanding CNN Fragility When Learning With Imbalanced Data. (1%)Damien Dablain; Kristen N. Jacobson; Colin Bellinger; Mark Roberts; Nitesh Chawla 2022-10-16 Object-Attentional Untargeted Adversarial Attack. (99%)Chao Zhou; Yuan-Gen Wang; Guopu Zhu Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples. (99%)Hui Liu; Bo Zhao; Kehuan Zhang; Peng Liu ODG-Q: Robust Quantization via Online Domain Generalization. (83%)Chaofan Tao; Ngai Wong Interpretable Machine Learning for Detection and Classification of Ransomware Families Based on API Calls. (1%)Rawshan Ara Mowri; Madhuri Siddula; Kaushik Roy 2022-10-15 RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. (2%)Ajay Jaiswal; Kumar Ashutosh; Justin F Rousseau; Yifan Peng; Zhangyang Wang; Ying Ding 2022-10-14 When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. (87%)Yichuan Mo; Dongxian Wu; Yifei Wang; Yiwen Guo; Yisen Wang Dynamics-aware Adversarial Attack of Adaptive Neural Networks. (86%)An Tao; Yueqi Duan; Yingqi Wang; Jiwen Lu; Jie Zhou Is Face Recognition Safe from Realizable Attacks? (84%)Sanjay Saha; Terence Sim Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks. (76%)Sishuo Chen; Wenkai Yang; Zhiyuan Zhang; Xiaohan Bi; Xu Sun Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis. (62%)Phillip Technical University Darmstadt Rieger; Torsten University of Würzburg Krauß; Markus Technical University Darmstadt Miettinen; Alexandra University of Würzburg Dmitrienko; Ahmad-Reza Technical University Darmstadt Sadeghi 2022-10-13 Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition. (99%)Shuai Jia; Bangjie Yin; Taiping Yao; Shouhong Ding; Chunhua Shen; Xiaokang Yang; Chao Ma AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. (99%)Farzad Nikfam; Alberto Marchisio; Maurizio Martina; Muhammad Shafique Demystifying Self-supervised Trojan Attacks. (87%)Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao; Ting Wang Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. (81%)Qixun Wang; Yifei Wang; Hong Zhu; Yisen Wang Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. (13%)Zhouxing Shi; Yihan Wang; Huan Zhang; Zico Kolter; Cho-Jui Hsieh Large-Scale Open-Set Classification Protocols for ImageNet. (2%)Jesus Andres Palechor Anacona; Annesha Bhoumik; Manuel Günther SoK: How Not to Architect Your Next-Generation TEE Malware? (1%)Kubilay Ahmet Küçük; Steve Moyle; Andrew Martin; Alexandru Mereacre; Nicholas Allott Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning. (1%)Peng Ye; Zhifeng Jiang; Wei Wang; Bo Li; Baochun Li Characterizing the Influence of Graph Elements. (1%)Zizhang Chen; Peizhao Li; Hongfu Liu; Pengyu Hong 2022-10-12 A Game Theoretical vulnerability analysis of Adversarial Attack. (99%)Khondker Fariha Hossain; Alireza Tavakkoli; Shamik Sengupta Visual Prompting for Adversarial Robustness. (99%)Aochuan Chen; Peter Lorenz; Yuguang Yao; Pin-Yu Chen; Sijia Liu Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. (99%)Zeyu Qin; Yanbo Fan; Yi Liu; Li Shen; Yong Zhang; Jue Wang; Baoyuan Wu Robust Models are less Over-Confident. (96%)Julia Grabinski; Paul Gavrikov; Janis Keuper; Margret Keuper Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. (86%)Andrew C. Cullen; Paul Montague; Shijie Liu; Sarah M. Erfani; Benjamin I. P. Rubinstein Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. (82%)Yongyuan Liang; Yanchao Sun; Ruijie Zheng; Furong Huang COLLIDER: A Robust Training Framework for Backdoor Data. (81%)Hadi M. Dolatabadi; Sarah Erfani; Christopher Leckie Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. (76%)Haotao Wang; Junyuan Hong; Aston Zhang; Jiayu Zhou; Zhangyang Wang Few-shot Backdoor Attacks via Neural Tangent Kernels. (62%)Jonathan Hayase; Sewoong Oh How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? (9%)Yi Zeng; Minzhou Pan; Himanshu Jahagirdar; Ming Jin; Lingjuan Lyu; Ruoxi Jia Understanding Impacts of Task Similarity on Backdoor Attack and Detection. (2%)Di Tang; Rui Zhu; XiaoFeng Wang; Haixu Tang; Yi Chen 2022-10-11 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? (99%)Nikolaos Tsilivis; Julia Kempe Stable and Efficient Adversarial Training through Local Linearization. (91%)Zhuorong Li; Daiwei Yu RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. (86%)Alberto Marchisio; Vojtech Mrazek; Andrea Massa; Beatrice Bussolino; Maurizio Martina; Muhammad Shafique Adversarial Attack Against Image-Based Localization Neural Networks. (78%)Meir Brand; Itay Naeh; Daniel Teitelman Detecting Backdoors in Deep Text Classifiers. (76%)You Guo; Jun Wang; Trevor Cohn Human Body Measurement Estimation with Adversarial Augmentation. (33%)Nataniel Ruiz; Miriam Bellver; Timo Bolkart; Ambuj Arora; Ming C. Lin; Javier Romero; Raja Bala Curved Representation Space of Vision Transformers. (10%)Juyeop Kim; Junha Park; Songkuk Kim; Jong-Seok Lee Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. (1%)Vazelhes William de; Hualin Zhang; Huimin Wu; Xiao-Tong Yuan; Bin Gu Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. (1%)Peng Mi; Li Shen; Tianhe Ren; Yiyi Zhou; Xiaoshuai Sun; Rongrong Ji; Dacheng Tao 2022-10-10 Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. (92%)Ziquan Liu; Antoni B. Chan Revisiting adapters with adversarial training. (88%)Sylvestre-Alvise Rebuffi; Francesco Croce; Sven Gowal Universal Adversarial Perturbations: Efficiency on a small image dataset. (81%)Waris ENSEIRB-MATMECA, UB Radji 2022-10-09 Pruning Adversarially Robust Neural Networks without Adversarial Examples. (99%)Tong Jian; Zifeng Wang; Yanzhi Wang; Jennifer Dy; Stratis Ioannidis Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective. (99%)Yao Zhu; Yuefeng Chen; Xiaodan Li; Kejiang Chen; Yuan He; Xiang Tian; Bolun Zheng; Yaowu Chen; Qingming Huang Online Training Through Time for Spiking Neural Networks. (1%)Mingqing Xiao; Qingyan Meng; Zongpeng Zhang; Di He; Zhouchen Lin 2022-10-08 Symmetry Subgroup Defense Against Adversarial Attacks. (99%)Blerta Lindqvist FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems. (99%)Jiahui Chen; Yi Zhao; Qi Li; Xuewei Feng; Ke Xu Robustness of Unsupervised Representation Learning without Labels. (54%)Aleksandar Petrov; Marta Kwiatkowska 2022-10-07 Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs. (99%)Prashant Pandey; Aleti Vardhan; Mustafa Chasmai; Tanuj Sur; Brejesh Lall Pre-trained Adversarial Perturbations. (99%)Yuanhao Ban; Yinpeng Dong ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. (93%)Yinpeng Dong; Shouwei Ruan; Hang Su; Caixin Kang; Xingxing Wei; Jun Zhu Game-Theoretic Understanding of Misclassification. (47%)Kosuke Sumiyasu; Kazuhiko Kawamoto; Hiroshi Kera A2: Efficient Automated Attacker for Boosting Adversarial Training. (41%)Zhuoer Xu; Guanghui Zhu; Changhua Meng; Shiwen Cui; Zhenzhe Ying; Weiqiang Wang; Ming GU; Yihua Huang NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems. (13%)Simin Chen; Cong Liu; Mirazul Haque; Zihe Song; Wei Yang A Wolf in Sheep's Clothing: Spreading Deadly Pathogens Under the Disguise of Popular Music. (2%)Anomadarshi Barua; Yonatan Gizachew Achamyeleh; Mohammad Abdullah Al Faruque Improving Fine-Grain Segmentation via Interpretable Modifications: A Case Study in Fossil Segmentation. (1%)Indu Panigrahi; Ryan Manzuk; Adam Maloof; Ruth Fong Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. (1%)Chen Gong; Zhou Yang; Yunpeng Bai; Junda He; Jieke Shi; Arunesh Sinha; Bowen Xu; Xinwen Hou; Guoliang Fan; David Lo 2022-10-06 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems. (99%)Chawin Sitawarin; Florian Tramèr; Nicholas Carlini Enhancing Code Classification by Mixup-Based Data Augmentation. (92%)Zeming Dong; Qiang Hu; Yuejun Guo; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection. (92%)Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Muhammad Khalid; Husnain Rafiq On Optimal Learning Under Targeted Data Poisoning. (82%)Steve Hanneke; Amin Karbasi; Mohammad Mahmoody; Idan Mehalel; Shay Moran Towards Out-of-Distribution Adversarial Robustness. (73%)Adam Ibrahim; Charles Guille-Escuret; Ioannis Mitliagkas; Irina Rish; David Krueger; Pouya Bashivan InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples. (61%)Venelin Kovatchev; Mariona Taulé Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. (41%)Huimin Zeng; Zhenrui Yue; Ziyi Kou; Lanyu Shang; Yang Zhang; Dong Wang Synthetic Dataset Generation for Privacy-Preserving Machine Learning. (2%)Efstathia Soufleri; Gobinda Saha; Kaushik Roy Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. (1%)Zeming Dong; Qiang Hu; Yuejun Guo; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao Bad Citrus: Reducing Adversarial Costs with Model Distances. (1%)Giorgio Severi; Will Pearce; Alina Oprea 2022-10-05 Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks. (99%)Shengming Yuan; Qilong Zhang; Lianli Gao; Yaya Cheng; Jingkuan Song Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks. (98%)Qi Peng; Wenlin Liu; Ruoxi Qin; Libin Hou; Bin Yan; Linyuan Wang On Adversarial Robustness of Deep Image Deblurring. (83%)Kanchana Vaishnavi Gandikota; Paramanand Chandramouli; Michael Moeller A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition. (81%)Luke Rowe; Benjamin Thérien; Krzysztof Czarnecki; Hongyang Zhang Jitter Does Matter: Adapting Gaze Estimation to New Domains. (78%)Ruicong Liu; Yiwei Bao; Mingjie Xu; Haofei Wang; Yunfei Liu; Feng Lu Image Masking for Robust Self-Supervised Monocular Depth Estimation. (38%)Hemang Chawla; Kishaan Jeeveswaran; Elahe Arani; Bahram Zonooz Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations. (38%)Jialing Liao; Zheng Chen; Erik G. Larsson 2022-10-04 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. (97%)Bohang Zhang; Du Jiang; Di He; Liwei Wang Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. (93%)Anshuman Chhabra; Peizhao Li; Prasant Mohapatra; Hongfu Liu A Study on the Efficiency and Generalization of Light Hybrid Retrievers. (86%)Man Luo; Shashank Jain; Anchit Gupta; Arash Einolghozati; Barlas Oguz; Debojeet Chatterjee; Xilun Chen; Chitta Baral; Peyman Heidari Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models. (81%)Fan Liu; Hao Liu; Wenzhao Jiang On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses. (75%)Anshuman Chhabra; Ashwin Sekhari; Prasant Mohapatra Robustness Certification of Visual Perception Models via Camera Motion Smoothing. (70%)Hanjiang Hu; Zuxin Liu; Linyi Li; Jiacheng Zhu; Ding Zhao Backdoor Attacks in the Supply Chain of Masked Image Modeling. (68%)Xinyue Shen; Xinlei He; Zheng Li; Yun Shen; Michael Backes; Yang Zhang CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. (50%)Charles Guille-Escuret; Pau Rodriguez; David Vazquez; Ioannis Mitliagkas; Joao Monteiro Invariant Aggregator for Defending Federated Backdoor Attacks. (22%)Xiaoyang Wang; Dimitrios Dimitriadis; Sanmi Koyejo; Shruti Tople 2022-10-03 MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. (99%)Jinyuan Jia; Wenjie Qu; Neil Zhenqiang Gong Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection. (97%)Xuanjun Chen; Haibin Wu; Helen Meng; Hung-yi Lee; Jyh-Shing Roger Jang Stability Analysis and Generalization Bounds of Adversarial Training. (96%)Jiancong Xiao; Yanbo Fan; Ruoyu Sun; Jue Wang; Zhi-Quan Luo On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. (92%)Huimin Zeng; Zhenrui Yue; Yang Zhang; Ziyi Kou; Lanyu Shang; Dong Wang Decompiling x86 Deep Neural Network Executables. (83%)Zhibo Liu; Yuanyuan Yuan; Shuai Wang; Xiaofei Xie; Lei Ma Strength-Adaptive Adversarial Training. (80%)Chaojian Yu; Dawei Zhou; Li Shen; Jun Yu; Bo Han; Mingming Gong; Nannan Wang; Tongliang Liu ASGNN: Graph Neural Networks with Adaptive Structure. (68%)Zepeng Zhang; Songtao Lu; Zengfeng Huang; Ziping Zhao UnGANable: Defending Against GAN-based Face Manipulation. (2%)Zheng Li; Ning Yu; Ahmed Salem; Michael Backes; Mario Fritz; Yang Zhang 2022-10-02 Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. (99%)Jiancong Xiao; Zeyu Qin; Yanbo Fan; Baoyuan Wu; Jue Wang; Zhi-Quan Luo Understanding Adversarial Robustness Against On-manifold Adversarial Examples. (99%)Jiancong Xiao; Liusha Yang; Yanbo Fan; Jue Wang; Zhi-Quan Luo FLCert: Provably Secure Federated Learning against Poisoning Attacks. (74%)Xiaoyu Cao; Zaixi Zhang; Jinyuan Jia; Neil Zhenqiang Gong Optimization for Robustness Evaluation beyond $\ell_p$ Metrics. (16%)Hengyue Liang; Buyun Liang; Ying Cui; Tim Mitchell; Ju Sun Automated Security Analysis of Exposure Notification Systems. (1%)Kevin Morio; Ilkan Esiyok; Dennis Jackson; Robert Künnemann 2022-10-01 DeltaBound Attack: Efficient decision-based attack in low queries regime. (96%)Lorenzo Rossi Adversarial Attacks on Transformers-Based Malware Detectors. (91%)Yash Jakhotiya; Heramb Patil; Jugal Rawlani; Dr. Sunil B. Mane Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward. (5%)Awais Khan; Khalid Mahmood Malik; James Ryan; Mikul Saravanan 2022-09-30 Your Out-of-Distribution Detection Method is Not Robust! (99%)Mohammad Azizmalayeri; Arshia Soltani Moakhar; Arman Zarei; Reihaneh Zohrabi; Mohammad Taghi Manzuri; Mohammad Hossein Rohban Learning Robust Kernel Ensembles with Kernel Average Pooling. (99%)Pouya Bashivan; Adam Ibrahim; Amirozhan Dehghani; Yifei Ren Adversarial Robustness of Representation Learning for Knowledge Graphs. (95%)Peru Bhardwaj Visual Privacy Protection Based on Type-I Adversarial Attack. (92%)Zhigang Su; Dawei Zhou; Decheng Liu; Nannan Wang; Zhen Wang; Xinbo Gao On the tightness of linear relaxation based robustness certification methods. (78%)Cheng Tang Data Poisoning Attacks Against Multimodal Encoders. (73%)Ziqing Yang; Xinlei He; Zheng Li; Michael Backes; Mathias Humbert; Pascal Berrang; Yang Zhang ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. (70%)Tim Clifford; Ilia Shumailov; Yiren Zhao; Ross Anderson; Robert Mullins 2022-09-29 Physical Adversarial Attack meets Computer Vision: A Decade Survey. (99%)Hui Wei; Hao Tang; Xuemei Jia; Hanxun Yu; Zhubo Li; Zhixiang Wang; Shin'ichi Satoh; Zheng Wang Towards Lightweight Black-Box Attacks against Deep Neural Networks. (99%)Chenghao Sun; Yonggang Zhang; Wan Chaoqun; Qizhou Wang; Ya Li; Tongliang Liu; Bo Han; Xinmei Tian Generalizability of Adversarial Robustness Under Distribution Shifts. (70%)Kumail Alhamoud; Hasan Abed Al Kader Hammoud; Motasem Alfarra; Bernard Ghanem Digital and Physical Face Attacks: Reviewing and One Step Further. (2%)Chenqi Kong; Shiqi Wang; Haoliang Li Chameleon Cache: Approximating Fully Associative Caches with Random Replacement to Prevent Contention-Based Cache Attacks. (1%)Thomas Unterluggauer; Austin Harris; Scott Constable; Fangfei Liu; Carlos Rozas 2022-09-28 A Survey on Physical Adversarial Attack in Computer Vision. (99%)Donghua Wang; Wen Yao; Tingsong Jiang; Guijiang Tang; Xiaoqian Chen Exploring the Relationship between Architecture and Adversarially Robust Generalization. (98%)Shiyu Tang; Siyuan Liang; Ruihao Gong; Aishan Liu; Xianglong Liu; Dacheng Tao A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks. (67%)Kevin Hector; Mathieu Dumont; Pierre-Alain Moellic; Jean-Max Dutertre Supervised Contrastive Learning as Multi-Objective Optimization for Fine-Tuning Large Pre-trained Language Models. (47%)Youness Moukafih; Mounir Ghogho; Kamel Smaili On the Robustness of Ensemble-Based Machine Learning Against Data Poisoning. (12%)Marco Anisetti; Claudio A. Ardagna; Alessandro Balestrucci; Nicola Bena; Ernesto Damiani; Chan Yeob Yeun CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention. (1%)Ziyu Guo; Renrui Zhang; Longtian Qiu; Xianzheng Ma; Xupeng Miao; Xuming He; Bin Cui Improving alignment of dialogue agents via targeted human judgements. (1%)Amelia Glaese; Nat McAleese; Maja Trębacz; John Aslanides; Vlad Firoiu; Timo Ewalds; Maribeth Rauh; Laura Weidinger; Martin Chadwick; Phoebe Thacker; Lucy Campbell-Gillingham; Jonathan Uesato; Po-Sen Huang; Ramona Comanescu; Fan Yang; Abigail See; Sumanth Dathathri; Rory Greig; Charlie Chen; Doug Fritz; Jaume Sanchez Elias; Richard Green; Soňa Mokrá; Nicholas Fernando; Boxi Wu; Rachel Foley; Susannah Young; Iason Gabriel; William Isaac; John Mellor; Demis Hassabis; Koray Kavukcuoglu; Lisa Anne Hendricks; Geoffrey Irving 2022-09-27 Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection. (74%)Svetlana Pavlitskaya; Jonas Hendl; Sebastian Kleim; Leopold Müller; Fabian Wylczoch; J. Marius Zöllner Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training. (33%)Saehyung Lee; Hyungyu Lee Attacking Compressed Vision Transformers. (33%)Swapnil Parekh; Devansh Shah; Pratyush Shukla Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. (8%)Ferhat Ozgur Catak; Murat Kuzlu; Salih Sarp; Evren Catak; Umit Cali Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. (5%)Yiming Li; Yang Bai; Yong Jiang; Yong Yang; Shu-Tao Xia; Bo Li Reconstruction-guided attention improves the robustness and shape processing of neural networks. (2%)Seoyoung Ahn; Hossein Adeli; Gregory J. Zelinsky A Learning-based Honeypot Game for Collaborative Defense in UAV Networks. (1%)Yuntao Wang; Zhou Su; Abderrahim Benslimane; Qichao Xu; Minghui Dai; Ruidong Li Stability Via Adversarial Training of Neural Network Stochastic Control of Mean-Field Type. (1%)Julian Barreiro-Gomez; Salah Eddine Choutri; Boualem Djehiche Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. (1%)Svetlana Pavlitskaya; Joël Oswald; J. Marius Zöllner 2022-09-26 FG-UAP: Feature-Gathering Universal Adversarial Perturbation. (99%)Zhixing Ye; Xinwen Cheng; Xiaolin Huang Activation Learning by Local Competitions. (64%)Hongchao Zhou Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech. (1%)Yusuke Nakai; Yuki Saito; Kenta Udagawa; Hiroshi Saruwatari Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. (1%)Adrien Bennetot; Gianni Franchi; Ser Javier Del; Raja Chatila; Natalia Diaz-Rodriguez 2022-09-25 SPRITZ-1.5C: Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks. (81%)Ehsan Nowroozi; Mohammadreza Mohammadi; Erkay Savas; Mauro Conti; Yassine Mekdad 2022-09-24 Approximate better, Attack stronger: Adversarial Example Generation via Asymptotically Gaussian Mixture Distribution. (99%)Zhengwei Fang; Rui Wang; Tao Huang; Liping Jing 2022-09-23 The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices. (13%)Wanlun Ma; Derui Wang; Ruoxi Sun; Minhui Xue; Sheng Wen; Yang Xiang 2022-09-22 Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models. (50%)Sohaib Ahmad; Benjamin Fuller; Kaleel Mahmood 2022-09-21 Fair Robust Active Learning by Joint Inconsistency. (99%)Tsung-Han Wu; Shang-Tse Chen; Winston H. Hsu Toy Models of Superposition. (45%)Nelson Elhage; Tristan Hume; Catherine Olsson; Nicholas Schiefer; Tom Henighan; Shauna Kravec; Zac Hatfield-Dodds; Robert Lasenby; Dawn Drain; Carol Chen; Roger Grosse; Sam McCandlish; Jared Kaplan; Dario Amodei; Martin Wattenberg; Christopher Olah DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions. (13%)Xuhong Ren; Jianlang Chen; Felix Juefei-Xu; Wanli Xue; Qing Guo; Lei Ma; Jianjun Zhao; Shengyong Chen Fairness Reprogramming. (1%)Guanhua Zhang; Yihua Zhang; Yang Zhang; Wenqi Fan; Qing Li; Sijia Liu; Shiyu Chang 2022-09-20 Understanding Real-world Threats to Deep Learning Models in Android Apps. (99%)Zizhuang Deng; Kai Chen; Guozhu Meng; Xiaodong Zhang; Ke Xu; Yao Cheng Audit and Improve Robustness of Private Neural Networks on Encrypted Data. (99%)Jiaqi Xue; Lei Xu; Lin Chen; Weidong Shi; Kaidi Xu; Qian Lou GAMA: Generative Adversarial Multi-Object Scene Attacks. (99%)Abhishek Aich; Calvin-Khang Ta; Akash Gupta; Chengyu Song; Srikanth V. Krishnamurthy; M. Salman Asif; Amit K. Roy-Chowdhury Sparse Vicious Attacks on Graph Neural Networks. (98%)Giovanni Trappolini; Valentino Maiorca; Silvio Severino; Emanuele Rodolà; Fabrizio Silvestri; Gabriele Tolomei Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks. (98%)Abhishek Aich; Shasha Li; Chengyu Song; M. Salman Asif; Srikanth V. Krishnamurthy; Amit K. Roy-Chowdhury Rethinking Data Augmentation in Knowledge Distillation for Object Detection. (68%)Jiawei Liang; Siyuan Liang; Aishan Liu; Mingli Zhu; Danni Yuan; Chenye Xu; Xiaochun Cao CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks. (1%)Alvise de Faveri Tron; Stefano Longari; Michele Carminati; Mario Polino; Stefano Zanero EM-Fault It Yourself: Building a Replicable EMFI Setup for Desktop and Server Hardware. (1%)Niclas Kühnapfel; Robert Buhren; Hans Niklas Jacob; Thilo Krachenfels; Christian Werling; Jean-Pierre Seifert 2022-09-19 Catoptric Light can be Dangerous: Effective Physical-World Attack by Natural Phenomenon. (99%)Chengyin Hu; Weiwen Shi Adversarial Color Projection: A Projector-Based Physical Attack to DNNs. (99%)Chengyin Hu; Weiwen Shi 2022-09-18 On the Adversarial Transferability of ConvMixer Models. (99%)Ryota Iijima; Miki Tanaka; Isao Echizen; Hitoshi Kiya AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. (96%)Yulong Cao; Chaowei Xiao; Anima Anandkumar; Danfei Xu; Marco Pavone Distribution inference risks: Identifying and mitigating sources of leakage. (1%)Valentin Hartmann; Léo Meynent; Maxime Peyrard; Dimitrios Dimitriadis; Shruti Tople; Robert West 2022-09-17 Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models. (99%)Raphael Olivier; Hadi Abdullah; Bhiksha Raj pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning. (98%)Taejin Kim; Shubhranshu Singh; Nikhil Madaan; Carlee Joe-Wong A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images. (4%)Durga Shree Nagabushanam; Steve Mathew; Chiranji Lal Chowdhary 2022-09-16 Robust Ensemble Morph Detection with Domain Generalization. (99%)Hossein Kashiani; Shoaib Meraj Sami; Sobhan Soleymani; Nasser M. Nasrabadi A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. (99%)Siyuan Liang; Longkang Li; Yanbo Fan; Xiaojun Jia; Jingzhi Li; Baoyuan Wu; Xiaochun Cao Enhance the Visual Representation via Discrete Adversarial Training. (97%)Xiaofeng Mao; Yuefeng Chen; Ranjie Duan; Yao Zhu; Gege Qi; Shaokai Ye; Xiaodan Li; Rong Zhang; Hui Xue Model Inversion Attacks against Graph Neural Networks. (92%)Zaixi Zhang; Qi Liu; Zhenya Huang; Hao Wang; Chee-Kong Lee; Enhong Chen PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition. (62%)Qidong Huang; Xiaoyi Dong; Dongdong Chen; Hang Zhou; Weiming Zhang; Kui Zhang; Gang Hua; Nenghai Yu Cascading Failures in Power Grids. (33%)Rounak Meyur Dataset Inference for Self-Supervised Models. (16%)Adam Dziedzic; Haonan Duan; Muhammad Ahmad Kaleem; Nikita Dhawan; Jonas Guan; Yannis Cattan; Franziska Boenisch; Nicolas Papernot On the Robustness of Graph Neural Diffusion to Topology Perturbations. (15%)Yang Song; Qiyu Kang; Sijie Wang; Zhao Kai; Wee Peng Tay A Systematic Evaluation of Node Embedding Robustness. (11%)Alexandru Mara; Jefrey Lijffijt; Stephan Günnemann; Bie Tijl De 2022-09-15 Improving Robust Fairness via Balance Adversarial Training. (99%)Chunyu Sun; Chenye Xu; Chengyuan Yao; Siyuan Liang; Yichao Wu; Ding Liang; XiangLong Liu; Aishan Liu A Light Recipe to Train Robust Vision Transformers. (98%)Edoardo Debenedetti; Vikash Sehwag; Prateek Mittal Part-Based Models Improve Adversarial Robustness. (92%)Chawin Sitawarin; Kornrapat Pongmala; Yizheng Chen; Nicholas Carlini; David Wagner Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. (80%)Mazda Moayeri; Kiarash Banihashem; Soheil Feizi Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization. (80%)Omar Montasser; Steve Hanneke; Nathan Srebro Defending Root DNS Servers Against DDoS Using Layered Defenses. (15%)A S M Rizvi; Jelena Mirkovic; John Heidemann; Wesley Hardaker; Robert Story BadRes: Reveal the Backdoors through Residual Connection. (2%)Mingrui He; Tianyu Chen; Haoyi Zhou; Shanghang Zhang; Jianxin Li Adversarial Cross-View Disentangled Graph Contrastive Learning. (1%)Qianlong Wen; Zhongyu Ouyang; Chunhui Zhang; Yiyue Qian; Yanfang Ye; Chuxu Zhang Towards Improving Calibration in Object Detection Under Domain Shift. (1%)Muhammad Akhtar Munir; Muhammad Haris Khan; M. Saquib Sarfraz; Mohsen Ali 2022-09-14 Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries. (99%)Alexander Cann; Ian Colbert; Ihab Amer PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack. (99%)Junxuan Huang; Yatong An; Lu cheng; Bai Chen; Junsong Yuan; Chunming Qiao Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. (99%)Chen Wu; Ruqing Zhang; Jiafeng Guo; Wei Chen; Yixing Fan; Rijke Maarten de; Xueqi Cheng Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. (97%)Jiawei Liu; Yangyang Kang; Di Tang; Kaisong Song; Changlong Sun; Xiaofeng Wang; Wei Lu; Xiaozhong Liu On the interplay of adversarial robustness and architecture components: patches, convolution and attention. (67%)Francesco Croce; Matthias Hein M^4I: Multi-modal Models Membership Inference. (54%)Pingyi Hu; Zihan Wang; Ruoxi Sun; Hu Wang; Minhui Xue Finetuning Pretrained Vision-Language Models with Correlation Information Bottleneck for Robust Visual Question Answering. (12%)Jingjing Jiang; Ziyi Liu; Nanning Zheng Robust Constrained Reinforcement Learning. (9%)Yue Wang; Fei Miao; Shaofeng Zou 2022-09-13 Adversarial Coreset Selection for Efficient Robust Training. (99%)Hadi M. Dolatabadi; Sarah Erfani; Christopher Leckie TSFool: Crafting High-quality Adversarial Time Series through Multi-objective Optimization to Fool Recurrent Neural Network Classifiers. (99%)Yanyun Wang; Dehui Du; Yuanhao Liu PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models. (92%)William Hackett; Stefan Trawicki; Zhengxin Yu; Neeraj Suri; Peter Garraghan Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. (78%)Maksym Yatsura; Kaspar Sakmann; N. Grace Hua; Matthias Hein; Jan Hendrik Metzen Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. (68%)Hussain Hussain; Meng Cao; Sandipan Sikdar; Denis Helic; Elisabeth Lex; Markus Strohmaier; Roman Kern A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. (15%)Ke Ma; Qianqian Xu; Jinshan Zeng; Guorong Li; Xiaochun Cao; Qingming Huang Defense against Privacy Leakage in Federated Learning. (12%)Jing Wu; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi Federated Learning based on Defending Against Data Poisoning Attacks in IoT. (1%)Jiayin Li; Wenzhong Guo; Xingshuo Han; Jianping Cai; Ximeng Liu 2022-09-12 Adaptive Perturbation Generation for Multiple Backdoors Detection. (95%)Yuhang Wang; Huafeng Shi; Rui Min; Ruijia Wu; Siyuan Liang; Yichao Wu; Ding Liang; Aishan Liu CARE: Certifiably Robust Learning with Reasoning via Variational Inference. (75%)Jiawei Zhang; Linyi Li; Ce Zhang; Bo Li Sample Complexity of an Adversarial Attack on UCB-based Best-arm Identification Policy. (69%)Varsha Pendyala Boosting Robustness Verification of Semantic Feature Neighborhoods. (54%)Anan Kabaha; Dana Drachsler-Cohen Semantic-Preserving Adversarial Code Comprehension. (1%)Yiyang Li; Hongqiu Wu; Hai Zhao Holistic Segmentation. (1%)Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Nassir Navab; Benjamin Busam; Federico Tombari Class-Level Logit Perturbation. (1%)Mengyang Li; Fengguang Su; Ou Wu; Ji Zhang 2022-09-11 Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization. (99%)Ehsan Nowroozi; Mohammadreza Mohammadi; Pargol Golmohammadi; Yassine Mekdad; Mauro Conti; Selcuk Uluagac Generate novel and robust samples from data: accessible sharing without privacy concerns. (5%)David Banh; Alan Huang 2022-09-10 Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense. (99%)Bowen Peng; Bo Peng; Jie Zhou; Jianyue Xie; Li Liu 2022-09-09 The Space of Adversarial Strategies. (99%)Ryan Sheatsley; Blaine Hoak; Eric Pauley; Patrick McDaniel Defend Data Poisoning Attacks on Voice Authentication. (54%)Ke Li; Cameron Baird; Dan Lin Robust-by-Design Classification via Unitary-Gradient Neural Networks. (41%)Fabio Brau; Giulio Rossolini; Alessandro Biondi; Giorgio Buttazzo Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled Membership Inference. (10%)Hanzhou Wu Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. (1%)Xin Li; Yao Qiang; Chengyin Li; Sijia Liu; Dongxiao Zhu 2022-09-08 Incorporating Locality of Images to Generate Targeted Transferable Adversarial Examples. (99%)Zhipeng Wei; Jingjing Chen; Zuxuan Wu; Yu-Gang Jiang Evaluating the Security of Aircraft Systems. (92%)Edan Habler; Ron Bitton; Asaf Shabtai Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks. (62%)Chulin Xie; Yunhui Long; Pin-Yu Chen; Bo Li A Survey of Recent Advances in Deep Learning Models for Detecting Malware in Desktop and Mobile Platforms. (1%)Pascal Maniriho; Abdun Naser Mahmood; Mohammad Jabed Morshed Chowdhury FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. (1%)Minxue Tang; Jianyi Zhang; Mingyuan Ma; Louis DiValentin; Aolin Ding; Amin Hassanzadeh; Hai Li; Yiran Chen 2022-09-07 On the Transferability of Adversarial Examples between Encrypted Models. (99%)Miki Tanaka; Isao Echizen; Hitoshi Kiya Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. (99%)Nuo Xu; Kaleel Mahmood; Haowen Fang; Ethan Rathbun; Caiwen Ding; Wujie Wen Reward Delay Attacks on Deep Reinforcement Learning. (70%)Anindya Sarkar; Jiarui Feng; Yevgeniy Vorobeychik; Christopher Gill; Ning Zhang Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. (47%)Sahar Abdelnabi; Mario Fritz Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. (15%)Wai Man Si; Michael Backes; Jeremy Blackburn; Cristofaro Emiliano De; Gianluca Stringhini; Savvas Zannettou; Yand Zhang Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. (1%)Houssem Ben Braiek; Thomas Reid; Foutse Khomh Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs. (1%)Syed Qutub; Florian Geissler; Yang Peng; Ralf Grafe; Michael Paulitsch; Gereon Hinz; Alois Knoll MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques. (1%)Pascal Maniriho; Abdun Naser Mahmood; Mohammad Jabed Morshed Chowdhury 2022-09-06 Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection. (99%)Sun RuiJin; Guo ShiZe; Guo JinHong; Xing ChangYou; Yang LuMing; Guo Xi; Pan ZhiSong Bag of Tricks for FGSM Adversarial Training. (96%)Zichao Li; Li Liu; Zeyu Wang; Yuyin Zhou; Cihang Xie Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation. (82%)Koki Mukai; Soichiro Kumano; Toshihiko Yamasaki Defending Against Backdoor Attack on Graph Nerual Network by Explainability. (80%)Bingchen Jiang; Zhao Li MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World. (54%)Hua Ma; Yinshan Li; Yansong Gao; Zhi Zhang; Alsharif Abuadbba; Anmin Fu; Said F. Al-Sarawi; Nepal Surya; Derek Abbott Multimodal contrastive learning for remote sensing tasks. (1%)Umangi Jain; Alex Wilson; Varun Gulshan Annealing Optimization for Progressive Learning with Stochastic Approximation. (1%)Christos Mavridis; John Baras Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. (1%)Alireza Ganjdanesh; Shangqian Gao; Heng Huang A Survey of Machine Unlearning. (1%)Thanh Tam Nguyen; Thanh Trung Huynh; Phi Le Nguyen; Alan Wee-Chung Liew; Hongzhi Yin; Quoc Viet Hung Nguyen 2022-09-05 Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples. (98%)Hezekiah J. Branch; Jonathan Rodriguez Cefalu; Jeremy McHugh; Leyla Hujer; Aditya Bahl; Daniel del Castillo Iglesias; Ron Heichman; Ramesh Darwishi White-Box Adversarial Policies in Deep Reinforcement Learning. (98%)Stephen Casper; Dylan Hadfield-Menell; Gabriel Kreiman "Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. (69%)Yuyou Gan; Yuhao Mao; Xuhong Zhang; Shouling Ji; Yuwen Pu; Meng Han; Jianwei Yin; Ting Wang Adversarial Detection: Attacking Object Detection in Real Time. (64%)Han Wu; Syed Yunas; Sareh Rowlands; Wenjie Ruan; Johan Wahlstrom PromptAttack: Prompt-based Attack for Language Models via Gradient Search. (16%)Yundi Shi; Piji Li; Changchun Yin; Zhaoyang Han; Lu Zhou; Zhe Liu Federated Zero-Shot Learning for Visual Recognition. (2%)Zhi Chen; Yadan Luo; Sen Wang; Jingjing Li; Zi Huang Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training. (2%)Derek Everett; Andre T. Nguyen; Luke E. Richards; Edward Raff 2022-09-04 An Adaptive Black-box Defense against Trojan Attacks (TrojDef). (98%)Guanxiong Liu; Abdallah Khreishah; Fatima Sharadgah; Issa Khalil Hide & Seek: Seeking the (Un)-Hidden key in Provably-Secure Logic Locking Techniques. (11%)Satwik Patnaik; Nimisha Limaye; Ozgur Sinanoglu Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles. (1%)Ayoosh Bansal; Simon Yu; Hunmin Kim; Bo Li; Naira Hovakimyan; Marco Caccamo; Lui Sha 2022-09-02 Adversarial Color Film: Effective Physical-World Attack to DNNs. (98%)Chengyin Hu; Weiwen Shi Impact of Scaled Image on Robustness of Deep Neural Networks. (98%)Chengyin Hu; Weiwen Shi Property inference attack; Graph neural networks; Privacy attacks and defense; Trustworthy machine learning. (95%)Xiuling Wang; Wendy Hui Wang Impact of Colour Variation on Robustness of Deep Neural Networks. (92%)Chengyin Hu; Weiwen Shi Scalable Adversarial Attack Algorithms on Influence Maximization. (67%)Lichao Sun; Xiaobin Rui; Wei Chen Are Attribute Inference Attacks Just Imputation? (31%)Bargav Jayaraman; David Evans Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? (9%)Yue Liu; Chakkrit Tantithamthavorn; Li Li; Yepang Liu Revisiting Outer Optimization in Adversarial Training. (5%)Ali Dabouei; Fariborz Taherkhani; Sobhan Soleymani; Nasser M. Nasrabadi 2022-09-01 Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage. (98%)Jiangli Shao; Yongqing Wang; Boshen Shi; Hao Gao; Huawei Shen; Xueqi Cheng Universal Fourier Attack for Time Series. (12%)Elizabeth Coda; Brad Clymer; Chance DeSmet; Yijing Watkins; Michael Girard 2022-08-31 Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning. (99%)Zhiyuan He; Yijun Yang; Pin-Yu Chen; Qiang Xu; Tsung-Yi Ho Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution. (99%)MingWei Zhou; Xiaobing Pei Membership Inference Attacks by Exploiting Loss Trajectory. (70%)Yiyong Liu; Zhengyu Zhao; Michael Backes; Yang Zhang Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research. (13%)Zhibo Zhang; Hussam Al Hamadi; Ernesto Damiani; Chan Yeob Yeun; Fatma Taher Vulnerability of Distributed Inverter VAR Control in PV Distributed Energy System. (1%)Bo Tu; Wen-Tai Li; Chau Yuen 2022-08-30 A Black-Box Attack on Optical Character Recognition Systems. (99%)Samet Bayram; Kenneth Barner Robustness and invariance properties of image classifiers. (99%)Apostolos Modas Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers. (1%)Fangqi Li; Shilin Wang; Yun Zhu Constraining Representations Yields Models That Know What They Don't Know. (1%)Joao Monteiro; Pau Rodriguez; Pierre-Andre Noel; Issam Laradji; David Vazquez 2022-08-29 Towards Adversarial Purification using Denoising AutoEncoders. (99%)Dvij Kalaria; Aritra Hazra; Partha Pratim Chakrabarti Reducing Certified Regression to Certified Classification. (8%)Zayd Hammoudeh; Daniel Lowd Interpreting Black-box Machine Learning Models for High Dimensional Datasets. (1%)Md. Rezaul Karim; Md. Shajalal; Alex Graß; Till Döhmen; Sisay Adugna Chala; Christian Beecks; Stefan Decker 2022-08-28 Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. (99%)Yinghua Zhang; Yangqiu Song; Kun Bai; Qiang Yang 2022-08-27 SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing. (99%)Deng JiaCheng; Dong Li; Yan Diqun; Wang Rangding; Zeng Jiaming Adversarial Robustness for Tabular Data through Cost and Utility Awareness. (98%)Klim Kireev; Bogdan Kulynych; Carmela Troncoso Overparameterized (robust) models from computational constraints. (13%)Sanjam Garg; Somesh Jha; Saeed Mahloujifar; Mohammad Mahmoody; Mingyuan Wang TrojViT: Trojan Insertion in Vision Transformers. (11%)Mengxin Zheng; Qian Lou; Lei Jiang RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems. (1%)Emna Baccour; Aiman Erbad; Amr Mohamed; Mounir Hamdi; Mohsen Guizani 2022-08-26 What Does the Gradient Tell When Attacking the Graph Structure. (69%)Zihan Liu; Ge Wang; Yun Luo; Stan Z. Li Network-Level Adversaries in Federated Learning. (54%)Giorgio Severi; Matthew Jagielski; Gökberk Yar; Yuxuan Wang; Alina Oprea; Cristina Nita-Rotaru ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning. (45%)Vasudev JV Gohil; Hao JV Guo; Satwik JV Patnaik; JV Jeyavijayan; Rajendran Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training. (4%)Zihui Wu; Haichang Gao; Bingqian Zhou; Xiaoyan Guo; Shudong Zhang 2022-08-25 Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm. (99%)Xinyi Wang; Simon Yusuf Enoch; Dong Seong Kim SNAP: Efficient Extraction of Private Properties with Poisoning. (86%)Harsh Chaudhari; John Abascal; Alina Oprea; Matthew Jagielski; Florian Tramèr; Jonathan Ullman FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. (78%)Lichen Jia; Bowen Tang; Chenggang Wu; Zhe Wang; Zihan Jiang; Yuanming Lai; Yan Kang; Ning Liu; Jingfeng Zhang Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs. (31%)Prashant Pandey; Mustafa Chasmai; Tanuj Sur; Brejesh Lall Calibrated Selective Classification. (15%)Adam Fisch; Tommi Jaakkola; Regina Barzilay XDRI Attacks - and - How to Enhance Resilience of Residential Routers. (4%)Philipp Jeitner; Haya Shulman; Lucas Teichmann; Michael Waidner FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning. (1%)Haodong Zhao; Wei Du; Fangqi Li; Peixuan Li; Gongshen Liu 2022-08-24 Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries. (99%)Dongbin Na; Sangwoo Ji; Jong Kim Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps. (98%)Mohammadreza Amirian; Friedhelm Schwenker; Thilo Stadelmann Attacking Neural Binary Function Detection. (98%)Joshua Bundt; Michael Davinroy; Ioannis Agadakos; Alina Oprea; William Robertson A Perturbation Resistant Transformation and Classification System for Deep Neural Networks. (98%)Nathaniel Dean; Dilip Sarkar Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. (92%)Qiyuan Chen; Raed Al Kontar; Maher Nouiehed; Jessie Yang; Corey Lester 2022-08-23 Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. (99%)Shahroz Tariq; Binh M. Le; Simon S. Woo Adversarial Vulnerability of Temporal Feature Networks for Object Detection. (99%)Svetlana Pavlitskaya; Nikolai Polley; Michael Weber; J. Marius Zöllner Transferability Ranking of Adversarial Examples. (99%)Mosh Levy; Yuval Elovici; Yisroel Mirsky Auditing Membership Leakages of Multi-Exit Networks. (76%)Zheng Li; Yiyong Liu; Xinlei He; Ning Yu; Michael Backes; Yang Zhang A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey. (13%)Elahe Arani; Shruthi Gowda; Ratnajit Mukherjee; Omar Magdy; Senthilkumar Kathiresan; Bahram Zonooz Robust DNN Watermarking via Fixed Embedding Weights with Optimized Distribution. (10%)Benedetta Tondi; Andrea Costanzo; Mauro Barni 2022-08-22 Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism. (99%)Yongwei Wang; Yuan Li; Zhiqi Shen Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. (98%)Simin Li; Huangxinxin Xu; Jiakai Wang; Aishan Liu; Fazhi He; Xianglong Liu; Dacheng Tao Different Spectral Representations in Optimized Artificial Neural Networks and Brains. (93%)Richard C. Gerum; Cassidy Pirlot; Alona Fyshe; Joel Zylberberg Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models. (87%)Xinlei He; Zheng Li; Weilin Xu; Cory Cornelius; Yang Zhang BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. (86%)Eugene Bykovets; Yannick Metz; Mennatallah El-Assady; Daniel A. Keim; Joachim M. Buhmann RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN. (62%)Huy Phan; Cong Shi; Yi Xie; Tianfang Zhang; Zhuohang Li; Tianming Zhao; Jian Liu; Yan Wang; Yingying Chen; Bo Yuan Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. (31%)Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun; Chen Chen Optimal Bootstrapping of PoW Blockchains. (1%)Ranvir Rana; Dimitris Karakostas; Sreeram Kannan; Aggelos Kiayias; Pramod Viswanath 2022-08-21 PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition. (99%)Jiachen Sun; Weili Nie; Zhiding Yu; Z. Morley Mao; Chaowei Xiao Inferring Sensitive Attributes from Model Explanations. (56%)Vasisht Duddu; Antoine Boutet Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning. (10%)Kerem Ozfatura; Emre Ozfatura; Alptekin Kupcu; Deniz Gunduz MockingBERT: A Method for Retroactively Adding Resilience to NLP Models. (4%)Jan Jezabek; Akash Singh NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. (1%)Yijun Tian; Chuxu Zhang; Zhichun Guo; Xiangliang Zhang; Nitesh V. Chawla A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. (1%)Chanwoo Park; Sangdoo Yun; Sanghyuk Chun 2022-08-20 Analyzing Adversarial Robustness of Vision Transformers against Spatial and Spectral Attacks. (86%)Gihyun Kim; Jong-Seok Lee GAIROSCOPE: Injecting Data from Air-Gapped Computers to Nearby Gyroscopes. (33%)Mordechai Guri Sensor Security: Current Progress, Research Challenges, and Future Roadmap. (10%)Anomadarshi Barua; Mohammad Abdullah Al Faruque Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers. (5%)Sangwoong Yoon; Jinwon Choi; Yonghyeon Lee; Yung-Kyun Noh; Frank Chongwoo Park Adversarial contamination of networks in the setting of vertex nomination: a new trimming method. (1%)Sheyda Peyman; Minh Tang; Vince Lyzinski 2022-08-19 Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. (99%)Husheng Han; Xing Hu; Kaidi Xu; Pucheng Dang; Ying Wang; Yongwei Zhao; Zidong Du; Qi Guo; Yanzhi Yang; Tianshi Chen Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment. (92%)Vyas Raina; Mark Gales Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models. (76%)Yulong Wang; Minghui Zhao; Shenghong Li; Xin Yuan; Wei Ni A Novel Plug-and-Play Approach for Adversarially Robust Generalization. (16%)Deepak Maurya; Adarsh Barik; Jean Honorio SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. (8%)Wei Huang; Xingyu Zhao; Gaojie Jin; Xiaowei Huang UKP-SQuARE v2 Explainability and Adversarial Attacks for Trustworthy QA. (1%)Rachneet Sachdeva; Haritz Puerto; Tim Baumgärtner; Sewin Tariverdian; Hao Zhang; Kexin Wang; Hossain Shaikh Saadi; Leonardo F. R. Ribeiro; Iryna Gurevych 2022-08-18 Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries. (99%)Manaar Alam; Shubhajit Datta; Debdeep Mukhopadhyay; Arijit Mondal; Partha Pratim Chakrabarti Enhancing Targeted Attack Transferability via Diversified Weight Pruning. (99%)Hung-Jui Wang; Yu-Yu Wu; Shang-Tse Chen Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. (45%)Bahjat Kawar; Roy Ganz; Michael Elad Reverse Engineering of Integrated Circuits: Tools and Techniques. (33%)Abhijitt Dhavlle DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. (10%)Anshul Nasery; Sravanti Addepalli; Praneeth Netrapalli; Prateek Jain Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. (3%)Olivia Wiles; Isabela Albuquerque; Sven Gowal Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. (2%)Wenqiang Ruan; Mingxin Xu; Wenjing Fang; Li Wang; Lei Wang; Weili Han Profiler: Profile-Based Model to Detect Phishing Emails. (1%)Mariya Shmalko; Alsharif Abuadbba; Raj Gaire; Tingmin Wu; Hye-Young Paik; Surya Nepal 2022-08-17 Two Heads are Better than One: Robust Learning Meets Multi-branch Models. (99%)Dong Huang; Qingwen Bu; Yuhao Qing; Haowen Pi; Sen Wang; Heming Cui An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks. (99%)Raz Lapid; Zvika Haramaty; Moshe Sipper Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks. (98%)Andrew Wang; Wyatt Mayor; Ryan Smith; Gopal Nookula; Gregory Ditzler Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System. (70%)Abdur R. Shahid; Ahmed Imteaj; Peter Y. Wu; Diane A. Igoche; Tauhidul Alam An Efficient Multi-Step Framework for Malware Packing Identification. (41%)Jong-Wouk Kim; Yang-Sae Moon; Mi-Jung Choi An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. (26%)Jihyeon Hyeong; Jayoung Kim; Noseong Park; Sushil Jajodia Efficient Detection and Filtering Systems for Distributed Training. (13%)Konstantinos Konstantinidis; Aditya Ramamoorthy On the Privacy Effect of Data Enhancement via the Lens of Memorization. (10%)Xiao Li; Qiongxiu Li; Zhanhao Hu; Xiaolin Hu ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach. (2%)Tong Zhou; Shaolei Ren; Xiaolin Xu DF-Captcha: A Deepfake Captcha for Preventing Fake Calls. (1%)Yisroel Mirsky Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition. (1%)Goutham Rajendran; Wei Zou 2022-08-16 A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search. (82%)Huijun Liu; Jie Yu; Shasha Li; Jun Ma; Bin Ji Imperceptible and Robust Backdoor Attack in 3D Point Cloud. (68%)Kuofeng Gao; Jiawang Bai; Baoyuan Wu; Mengxi Ya; Shu-Tao Xia AutoCAT: Reinforcement Learning for Automated Exploration of Cache Timing-Channel Attacks. (12%)Mulong Luo; Wenjie Xiong; Geunbae Lee; Yueying Li; Xiaomeng Yang; Amy Zhang; Yuandong Tian; Hsien Hsin S. Lee; G. Edward Suh 2022-08-15 MENLI: Robust Evaluation Metrics from Natural Language Inference. (92%)Yanran Chen; Steffen Eger Man-in-the-Middle Attack against Object Detection Systems. (86%)Han Wu; Sareh Rowlands; Johan Wahlstrom Training-Time Attacks against k-Nearest Neighbors. (2%)Ara Vartanian; Will Rosenbaum; Scott Alfeld CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models. (1%)Chuyen Nguyen; Caleb Morgan; Sudip Mittal 2022-08-14 A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design. (99%)Jialiang Sun; Wen Yao; Tingsong Jiang; Xiaoqian Chen Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection. (92%)Haibin Zheng; Haiyang Xiong; Haonan Ma; Guohan Huang; Jinyin Chen InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee. (92%)Yaxian Li; Bingqing Zhang; Guoping Zhao; Mingyu Zhang; Jiajun Liu; Ziwei Wang; Jirong Wen Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. (67%)Ashish Gupta; Tie Luo; Mao V. Ngo; Sajal K. Das 2022-08-13 Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks. (99%)Tian Yu Liu; Yu Yang; Baharan Mirzasoleiman Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. (95%)Beini Xie; Heng Chang; Xin Wang; Tian Bian; Shiji Zhou; Daixin Wang; Zhiqiang Zhang; Wenwu Zhu Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer. (62%)Tong Wang; Yuan Yao; Feng Xu; Miao Xu; Shengwei An; Ting Wang 2022-08-12 Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator. (99%)Xiangbo Gao; Cheng Luo; Qinliang Lin; Weicheng Xie; Minmin Liu; Linlin Shen; Keerthy Kusumam; Siyang Song MaskBlock: Transferable Adversarial Examples with Bayes Approach. (99%)Mingyuan Fan; Cen Chen; Ximeng Liu; Wenzhong Guo Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks. (98%)Ferhat Ozgur Catak; Murat Kuzlu; Evren Catak; Umit Cali; Ozgur Guler A Knowledge Distillation-Based Backdoor Attack in Federated Learning. (93%)Yifan Wang; Wei Fan; Keke Yang; Naji Alhusaini; Jing Li Unifying Gradients to Improve Real-world Robustness for Deep Networks. (92%)Yingwen Wu; Sizhe Chen; Kun Fang; Xiaolin Huang Dropout is NOT All You Need to Prevent Gradient Leakage. (62%)Daniel Scheliga; Patrick Mäder; Marco Seeland Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons. (2%)Mingyuan Fan; Yang Liu; Cen Chen; Ximeng Liu; Wenzhong Guo PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. (2%)Kaustav Bhattacharjee; Akm Islam; Jaideep Vaidya; Aritra Dasgupta 2022-08-11 Diverse Generative Adversarial Perturbations on Attention Space for Transferable Adversarial Attacks. (99%)Woo Jae Kim; Seunghoon Hong; Sung-Eui Yoon General Cutting Planes for Bound-Propagation-Based Neural Network Verification. (68%)Huan Zhang; Shiqi Wang; Kaidi Xu; Linyi Li; Bo Li; Suman Jana; Cho-Jui Hsieh; J. Zico Kolter On deceiving malware classification with section injection. (5%)Silva Adeilson Antonio da; Mauricio Pamplona Segundo A Probabilistic Framework for Mutation Testing in Deep Neural Networks. (1%)Florian Tambon; Foutse Khomh; Giuliano Antoniol Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment. (1%)Jie Zhu; Leye Wang; Xiao Han Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone. (1%)Aghiles Ait Messaoud; Sonia Ben Mokhtar; Vlad Nitu; Valerio Schiavoni 2022-08-10 Explaining Machine Learning DGA Detectors from DNS Traffic Data. (13%)Giorgio Piras; Maura Pintor; Luca Demetrio; Battista Biggio A Sublinear Adversarial Training Algorithm. (3%)Yeqi Gao; Lianke Qin; Zhao Song; Yitan Wang DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. (1%)Yu Zheng; Chen Gao; Jingtao Ding; Lingling Yi; Depeng Jin; Yong Li; Meng Wang 2022-08-09 Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services. (98%)Ahmed Omara; Burak Kantarci Reducing Exploitability with Population Based Training. (67%)Pavel Czempin; Adam Gleave Robust Machine Learning for Malware Detection over Time. (9%)Daniele Angioni; Luca Demetrio; Maura Pintor; Battista Biggio 2022-08-08 Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering. (75%)Yong Liu; Hanzhou Wu; Xinpeng Zhang PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. (67%)Diego Garcia-soto; Huili Chen; Farinaz Koushanfar Adversarial robustness of $\beta-$VAE through the lens of local geometry. (47%)Asif Khan; Amos Storkey AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning. (26%)Tianxing Zhang; Hanzhou Wu; Xiaofeng Lu; Guangling Sun Abutting Grating Illusion: Cognitive Challenge to Neural Network Models. (1%)Jinyu Fan; Yi Zeng Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application. (1%)Ayan Chatterjee; Bestoun S. Ahmed; Erik Hallin; Anton Engman 2022-08-07 Federated Adversarial Learning: A Framework with Convergence Analysis. (80%)Xiaoxiao Li; Zhao Song; Jiaming Yang Are Gradients on Graph Structure Reliable in Gray-box Attacks? (13%)Zihan Liu; Yun Luo; Lirong Wu; Siyuan Li; Zicheng Liu; Stan Z. Li 2022-08-06 Blackbox Attacks via Surrogate Ensemble Search. (99%)Zikui Cai; Chengyu Song; Srikanth Krishnamurthy; Amit Roy-Chowdhury; M. Salman Asif On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. (22%)Congyu Fang; Hengrui Jia; Anvith Thudi; Mohammad Yaghini; Christopher A. Choquette-Choo; Natalie Dullerud; Varun Chandrasekaran; Nicolas Papernot Preventing or Mitigating Adversarial Supply Chain Attacks; a legal analysis. (3%)Kaspar Rosager Ludvigsen; Shishir Nagaraja; Angela Daly 2022-08-05 Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations. (73%)Jan Nikolas Morshuis; Sergios Gatidis; Matthias Hein; Christian F. Baumgartner Data-free Backdoor Removal based on Channel Lipschitzness. (64%)Runkai Zheng; Rongjun Tang; Jianze Li; Li Liu Lethal Dose Conjecture on Data Poisoning. (2%)Wenxiao Wang; Alexander Levine; Soheil Feizi LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles. (1%)Li Yang; Abdallah Shami; Gary Stevens; Rusett Stephen De Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks. (1%)Bernd Prach; Christoph H. Lampert 2022-08-04 Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. (99%)Faris Almalik; Mohammad Yaqub; Karthik Nandakumar 2022-08-03 Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification. (99%)Sicheng College of Information and Communication Engineering, Harbin Engineering University, Harbin Zhang; Jiarun College of Information and Communication Engineering, Harbin Engineering University, Harbin Yu; Zhida College of Information and Communication Engineering, Harbin Engineering University, Harbin Bao; Shiwen Department of Electrical & Computer Engineering, Auburn University, Auburn Mao; Yun College of Information and Communication Engineering, Harbin Engineering University, Harbin Lin Design of secure and robust cognitive system for malware detection. (99%)Sanket Shukla A New Kind of Adversarial Example. (99%)Ali Borji Adversarial Attacks on ASR Systems: An Overview. (98%)Xiao Zhang; Hao Tan; Xuan Huang; Denghui Zhang; Keke Tang; Zhaoquan Gu Multiclass ASMA vs Targeted PGD Attack in Image Segmentation. (96%)Johnson University of Toronto Vo; Jiabao University of Toronto Xie; Sahil University of Toronto Patel MOVE: Effective and Harmless Ownership Verification via Embedded External Features. (84%)Yiming Li; Linghui Zhu; Xiaojun Jia; Yang Bai; Yong Jiang; Shu-Tao Xia; Xiaochun Cao Robust Graph Neural Networks using Weighted Graph Laplacian. (13%)Bharat Runwal; Vivek; Sandeep Kumar 2022-08-02 Adversarial Camouflage for Node Injection Attack on Graphs. (81%)Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry. (2%)Mark Penrod; Harrison Termotto; Varshini Reddy; Jiayu Yao; Finale Doshi-Velez; Weiwei Pan SCFI: State Machine Control-Flow Hardening Against Fault Attacks. (1%)Pascal Nasahl; Martin Unterguggenberger; Rishub Nagpal; Robert Schilling; David Schrammel; Stefan Mangard 2022-08-01 GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. (98%)Jiacheng Zhu; Jielin Qiu; Zhuolin Yang; Douglas Weber; Michael A. Rosenberg; Emerson Liu; Bo Li; Ding Zhao Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem. (81%)Zheng Wang; Wenjie Ruan On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel. (75%)Shubhi Shukla; Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay; Pabitra Mitra Attacking Adversarial Defences by Smoothing the Loss Landscape. (26%)Panagiotis Eustratiadis; Henry Gouk; Da Li; Timothy Hospedales 2022-07-31 DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning. (99%)Mohammad Hossein Samavatian; Saikat Majumdar; Kristin Barber; Radu Teodorescu Robust Real-World Image Super-Resolution against Adversarial Attacks. (99%)Jiutao Yue; Haofeng Li; Pengxu Wei; Guanbin Li; Liang Lin Is current research on adversarial robustness addressing the right problem? (97%)Ali Borji 2022-07-30 enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. (5%)Alessio Colucci; Andreas Steininger; Muhammad Shafique CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. (2%)Muhammad Abdullah Hanif; Giuseppe Maria Sarda; Alberto Marchisio; Guido Masera; Maurizio Martina; Muhammad Shafique 2022-07-29 Robust Trajectory Prediction against Adversarial Attacks. (99%)Yulong Cao; Danfei Xu; Xinshuo Weng; Zhuoqing Mao; Anima Anandkumar; Chaowei Xiao; Marco Pavone Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis. (56%)Tao Li; Haozhe Lei; Quanyan Zhu 2022-07-28 Pro-tuning: Unified Prompt Tuning for Vision Tasks. (1%)Xing Nie; Bolin Ni; Jianlong Chang; Gaomeng Meng; Chunlei Huo; Zhaoxiang Zhang; Shiming Xiang; Qi Tian; Chunhong Pan 2022-07-27 Point Cloud Attacks in Graph Spectral Domain: When 3D Geometry Meets Graph Signal Processing. (96%)Daizong Liu; Wei Hu; Xin Li Look Closer to Your Enemy: Learning to Attack via Teacher-student Mimicking. (91%)Mingejie Wang; Zhiqing Tang; Sirui Li; Dingwen Xiao Membership Inference Attacks via Adversarial Examples. (73%)Hamid Jalalzai; Elie Kadoche; Rémi Leluc; Vincent Plassier Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips. (69%)Jiawang Bai; Kuofeng Gao; Dihong Gong; Shu-Tao Xia; Zhifeng Li; Wei Liu DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking. (47%)Abhishek Chakraborty; Daniel Xing; Yuntao Liu; Ankur Srivastava Label-Only Membership Inference Attack against Node-Level Graph Neural Networks. (22%)Mauro Conti; Jiaxin Li; Stjepan Picek; Jing Xu Generative Steganography Network. (1%)Ping Wei; Sheng Li; Xinpeng Zhang; Ge Luo; Zhenxing Qian; Qing Zhou 2022-07-26 LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. (99%)Martin Gubri; Maxime Cordy; Mike Papadakis; Yves Le Traon; Koushik Sen Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception. (99%)Rui Duan; Zhe Qu; Shangqing Zhao; Leah Ding; Yao Liu; Zhuo Lu Generative Extraction of Audio Classifiers for Speaker Identification. (73%)Tejumade Afonja; Lucas Bourtoule; Varun Chandrasekaran; Sageev Oore; Nicolas Papernot Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks. (2%)Tilman Räuker; Anson Ho; Stephen Casper; Dylan Hadfield-Menell 2022-07-25 $p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations. (99%)Adam Dziedzic; Stephan Rabanser; Mohammad Yaghini; Armin Ale; Murat A. Erdogdu; Nicolas Papernot Improving Adversarial Robustness via Mutual Information Estimation. (99%)Dawei Zhou; Nannan Wang; Xinbo Gao; Bo Han; Xiaoyu Wang; Yibing Zhan; Tongliang Liu SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. (99%)Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip Torr Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer. (75%)Yingyi Chen; Xi Shen; Yahui Liu; Qinghua Tao; Johan A. K. Suykens Technical Report: Assisting Backdoor Federated Learning with Whole Population Knowledge Alignment. (9%)Tian Liu; Xueyang Hu; Tao Shu Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. (2%)Xinlei He; Hongbin Liu; Neil Zhenqiang Gong; Yang Zhang 2022-07-24 Versatile Weight Attack via Flipping Limited Bits. (86%)Jiawang Bai; Baoyuan Wu; Zhifeng Li; Shu-tao Xia Can we achieve robustness from data alone? (82%)Nikolaos Tsilivis; Jingtong Su; Julia Kempe Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability. (69%)Quanshi Zhang; Xin Wang; Jie Ren; Xu Cheng; Shuyun Lin; Yisen Wang; Xiangming Zhu Privacy Against Inference Attacks in Vertical Federated Learning. (2%)Borzoo Rassouli; Morteza Varasteh; Deniz Gunduz Semantic-guided Multi-Mask Image Harmonization. (1%)Xuqian Ren; Yifan Liu 2022-07-22 Do Perceptually Aligned Gradients Imply Adversarial Robustness? (99%)Roy Ganz; Bahjat Kawar; Michael Elad Provable Defense Against Geometric Transformations. (47%)Rem Yang; Jacob Laurel; Sasa Misailovic; Gagandeep Singh Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. (9%)Qiang Hu; Yuejun Guo; Xiaofei Xie; Maxime Cordy; Lei Ma; Mike Papadakis; Yves Le Traon Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion. (1%)Zhengqi Gao; Fan-Keng Sun; Mingran Yang; Sucheng Ren; Zikai Xiong; Marc Engeler; Antonio Burazer; Linda Wildling; Luca Daniel; Duane S. Boning 2022-07-21 Synthetic Dataset Generation for Adversarial Machine Learning Research. (99%)Xiruo Liu; Shibani Singh; Cory Cornelius; Colin Busho; Mike Tan; Anindya Paul; Jason Martin Careful What You Wish For: on the Extraction of Adversarially Trained Models. (99%)Kacem Khaled; Gabriela Nicolescu; Magalhães Felipe Gohring de Rethinking Textual Adversarial Defense for Pre-trained Language Models. (99%)Jiayi Wang; Rongzhou Bao; Zhuosheng Zhang; Hai Zhao AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance. (98%)Xiaoliang Liu; Furao Shen; Jian Zhao; Changhai Nie Knowledge-enhanced Black-box Attacks for Recommendations. (92%)Jingfan Chen; Wenqi Fan; Guanghui Zhu; Xiangyu Zhao; Chunfeng Yuan; Qing Li; Yihua Huang Towards Efficient Adversarial Training on Vision Transformers. (92%)Boxi Wu; Jindong Gu; Zhifeng Li; Deng Cai; Xiaofei He; Wei Liu Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. (87%)Tong Wu; Tianhao Wang; Vikash Sehwag; Saeed Mahloujifar; Prateek Mittal Contrastive Self-Supervised Learning Leads to Higher Adversarial Susceptibility. (83%)Rohit Gupta; Naveed Akhtar; Ajmal Mian; Mubarak Shah A Forgotten Danger in DNN Supervision Testing: Generating and Detecting True Ambiguity. (1%)Michael Weiss; André García Gómez; Paolo Tonella 2022-07-20 Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness. (99%)Sekitoshi Kanai; Shin'ya Yamaguchi; Masanori Yamada; Hiroshi Takahashi; Kentaro Ohno; Yasutoshi Ida Illusionary Attacks on Sequential Decision Makers and Countermeasures. (15%)Tim Franzmeyer; João F. Henriques; Jakob N. Foerster; Philip H. S. Torr; Adel Bibi; Witt Christian Schroeder de Test-Time Adaptation via Conjugate Pseudo-labels. (10%)Sachin Goyal; Mingjie Sun; Aditi Raghunathan; Zico Kolter 2022-07-19 Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. (99%)Linbo Liu; Youngsuk Park; Trong Nghia Hoang; Hilaf Hasson; Jun Huan FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. (41%)Zaixi Zhang; Xiaoyu Cao; Jinyuan Jia; Neil Zhenqiang Gong Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond. (26%)Yuzheng Hu; Tianle Cai; Jinyong Shan; Shange Tang; Chaochao Cai; Ethan Song; Bo Li; Dawn Song Assaying Out-Of-Distribution Generalization in Transfer Learning. (1%)Florian Wenzel; Andrea Dittadi; Peter Vincent Gehler; Carl-Johann Simon-Gabriel; Max Horn; Dominik Zietlow; David Kernert; Chris Russell; Thomas Brox; Bernt Schiele; Bernhard Schölkopf; Francesco Locatello 2022-07-18 Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. (99%)Zhenrui Yue; Huimin Zeng; Ziyi Kou; Lanyu Shang; Dong Wang Decorrelative Network Architecture for Robust Electrocardiogram Classification. (99%)Christopher Wiedeman; Ge Wang Prior-Guided Adversarial Initialization for Fast Adversarial Training. (99%)Xiaojun Jia; Yong Zhang; Xingxing Wei; Baoyuan Wu; Ke Ma; Jue Wang; Xiaochun Cao Multi-step domain adaptation by adversarial attack to $\mathcal{H} \Delta \mathcal{H}$-divergence. (96%)Arip Asadulaev; Alexander Panfilov; Andrey Filchenkov Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations. (91%)Hashmat Shadab Malik; Shahina K Kunhimon; Muzammal Naseer; Salman Khan; Fahad Shahbaz Khan Easy Batch Normalization. (69%)Arip Asadulaev; Alexander Panfilov; Andrey Filchenkov Adversarial Contrastive Learning via Asymmetric InfoNCE. (61%)Qiying Yu; Jieming Lou; Xianyuan Zhan; Qizhang Li; Wangmeng Zuo; Yang Liu; Jingjing Liu Detection of Poisoning Attacks with Anomaly Detection in Federated Learning for Healthcare Applications: A Machine Learning Approach. (22%)Ali Raza; Shujun Li; Kim-Phuc Tran; Ludovic Koehl A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling. (10%)Xudong Pan; Qifan Xiao; Mi Zhang; Min Yang Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. (2%)Sarwan Ali; Bikram Sahoo; Alexander Zelikovskiy; Pin-Yu Chen; Murray Patterson 2022-07-17 Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. (99%)Xinwei Liu; Jian Liu; Yang Bai; Jindong Gu; Tao Chen; Xiaojun Jia; Xiaochun Cao Threat Model-Agnostic Adversarial Defense using Diffusion Models. (99%)Tsachi Blau; Roy Ganz; Bahjat Kawar; Alex Bronstein; Michael Elad Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game. (96%)Xiao-Shan Gao; Shuang Liu; Lijia Yu Automated Repair of Neural Networks. (16%)Dor Cohen; Ofer Strichman 2022-07-16 DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking. (99%)Xiangyu Yin; Wenjie Ruan; Jonathan Fieldsend Certified Neural Network Watermarks with Randomized Smoothing. (1%)Arpit Bansal; Ping-yeh Chiang; Michael Curry; Rajiv Jain; Curtis Wigington; Varun Manjunatha; John P Dickerson; Tom Goldstein Progress and limitations of deep networks to recognize objects in unusual poses. (1%)Amro Abbas; Stéphane Deny Exploring The Resilience of Control Execution Skips against False Data Injection Attacks. (1%)Ipsita Koley; Sunandan Adhikary; Soumyajit Dey MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks. (1%)Ali Ramezani-Kebrya; Iman Tabrizian; Fartash Faghri; Petar Popovski 2022-07-15 Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training. (99%)Xiaoyu Liang; Yaguan Qian; Jianchang Huang; Xiang Ling; Bin Wang; Chunming Wu; Wassim Swaileh CARBEN: Composite Adversarial Robustness Benchmark. (98%)Lei Hsiung; Yun-Yun Tsai; Pin-Yu Chen; Tsung-Yi Ho Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders. (68%)Jiahao Qi; Zhiqiang Gong; Xingyue Liu; Kangcheng Bin; Chen Chen; Yongqian Li; Wei Xue; Yu Zhang; Ping Zhong Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection. (10%)Svetlana Pavlitskaya; Bianca-Marina Codău; J. Marius Zöllner PASS: Parameters Audit-based Secure and Fair Federated Learning Scheme against Free Rider. (5%)Jianhua Wang 3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models. (1%)Ronghui Mu; Wenjie Ruan; Leandro S. Marcolino; Qiang Ni 2022-07-14 Adversarial Attacks on Monocular Pose Estimation. (98%)Hemang Chawla; Arnav Varma; Elahe Arani; Bahram Zonooz Adversarial Examples for Model-Based Control: A Sensitivity Analysis. (98%)Po-han Department of Electrical and Computer Engineering, The University of Texas at Austin Li; Ufuk Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin Topcu; Sandeep P. Department of Electrical and Computer Engineering, The University of Texas at Austin Chinchali Provably Adversarially Robust Nearest Prototype Classifiers. (83%)Václav Voráček; Matthias Hein Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. (70%)Zhenyi Wang; Li Shen; Le Fang; Qiuling Suo; Tiehang Duan; Mingchen Gao RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks. (67%)Mohammad Esmaeilpour; Nourhene Chaalia; Patrick Cardinal Sound Randomized Smoothing in Floating-Point Arithmetics. (50%)Václav Voráček; Matthias Hein Audio-guided Album Cover Art Generation with Genetic Algorithms. (38%)James Marien; Sam Leroux; Bart Dhoedt; Boom Cedric De Distance Learner: Incorporating Manifold Prior to Model Training. (16%)Aditya Chetan; Nipun Kwatra Active Data Pattern Extraction Attacks on Generative Language Models. (11%)Bargav Jayaraman; Esha Ghosh; Huseyin Inan; Melissa Chase; Sambuddha Roy; Wei Dai Contrastive Adapters for Foundation Model Group Robustness. (1%)Michael Zhang; Christopher Ré Lipschitz Bound Analysis of Neural Networks. (1%)Sarosij Bose 2022-07-13 Perturbation Inactivation Based Adversarial Defense for Face Recognition. (99%)Min Ren; Yuhao Zhu; Yunlong Wang; Zhenan Sun On the Robustness of Bayesian Neural Networks to Adversarial Attacks. (93%)Luca Bortolussi; Ginevra Carbone; Luca Laurenti; Andrea Patane; Guido Sanguinetti; Matthew Wicker Adversarially-Aware Robust Object Detector. (91%)Ziyi Dong; Pengxu Wei; Liang Lin PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations. (15%)Simin Shekarpaz; Mohammad Azizmalayeri; Mohammad Hossein Rohban Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities. (10%)Subash Neupane; Jesse Ables; William Anderson; Sudip Mittal; Shahram Rahimi; Ioana Banicescu; Maria Seale Interactive Machine Learning: A State of the Art Review. (4%)Natnael A. Wondimu; Cédric Buche; Ubbo Visser Sample-dependent Adaptive Temperature Scaling for Improved Calibration. (2%)Tom Joy; Francesco Pinto; Ser-Nam Lim; Philip H. S. Torr; Puneet K. Dokania DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment. (1%)Ahmed Haj Yahmed; Houssem Ben Braiek; Foutse Khomh; Sonia Bouzidi; Rania Zaatour 2022-07-12 Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information. (99%)Jiebao Zhang; Wenhua Qian; Rencan Nie; Jinde Cao; Dan Xu Adversarial Robustness Assessment of NeuroEvolution Approaches. (99%)Inês Valentim; Nuno Lourenço; Nuno Antunes Frequency Domain Model Augmentation for Adversarial Attack. (99%)Yuyang Long; Qilong Zhang; Boheng Zeng; Lianli Gao; Xianglong Liu; Jian Zhang; Jingkuan Song Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. (92%)Luca Demetrio; Battista Biggio; Fabio Roli Game of Trojans: A Submodular Byzantine Approach. (87%)Dinuka Sahabandu; Arezoo Rajabi; Luyao Niu; Bo Li; Bhaskar Ramasubramanian; Radha Poovendran Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures. (84%)Jia Liu; Ran Cheng; Yaochu Jin Certified Adversarial Robustness via Anisotropic Randomized Smoothing. (76%)Hanbin Hong; Yuan Hong RelaxLoss: Defending Membership Inference Attacks without Losing Utility. (26%)Dingfan Chen; Ning Yu; Mario Fritz Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations. (5%)Satoshi Munakata; Caterina Urban; Haruki Yokoyama; Koji Yamamoto; Kazuki Munakata Markov Decision Process For Automatic Cyber Defense. (4%)Simon Yusuf Enoch; Simon Yusuf Enoch; Dong Seong Kim Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction. (1%)Charles Lu; Syed Rakin Ahmed; Praveer Singh; Jayashree Kalpathy-Cramer Backdoor Attacks on Crowd Counting. (1%)Yuhua Sun; Tailai Zhang; Xingjun Ma; Pan Zhou; Jian Lou; Zichuan Xu; Xing Di; Yu Cheng; Lichao 2022-07-11 Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems. (99%)Ibrahim Aliyu; Engelenburg Selinde van; Muhammed Bashir Muazu; Jinsul Kim; Chang Gyoon Lim RUSH: Robust Contrastive Learning via Randomized Smoothing. (98%)Yijiang Pang; Boyang Liu; Jiayu Zhou Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. (98%)Yaniv Nemcovsky; Matan Yaakoby; Alex M. Bronstein; Chaim Baskin Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency. (83%)Hassan Mahmood; Ehsan Elhamifar "Why do so?" -- A Practical Perspective on Machine Learning Security. (64%)Kathrin Grosse; Lukas Bieringer; Tarek Richard Besold; Battista Biggio; Katharina Krombholz Susceptibility of Continual Learning Against Adversarial Attacks. (45%)Hikmat Khan; Pir Masoom Shah; Syed Farhan Alam Zaidi; Saif ul Islam Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. (22%)Zhiyuan Cheng; James Liang; Hongjun Choi; Guanhong Tao; Zhiwen Cao; Dongfang Liu; Xiangyu Zhang Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation. (1%)Zhun Zhong; Yuyang Zhao; Gim Hee Lee; Nicu Sebe 2022-07-10 One-shot Neural Backdoor Erasing via Adversarial Weight Masking. (33%)Shuwen Chai; Jinghui Chen Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication. (4%)Lin Li; Chao Chen; Lei Pan; Yonghang Tai; Jun Zhang; Yang Xiang 2022-07-09 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features. (98%)Taha Belkhouja; Janardhan Rao Doppa Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain. (98%)Chang Yue; Peizhuo Lv; Ruigang Liang; Kai Chen Dynamic Time Warping based Adversarial Framework for Time-Series Domain. (97%)Taha Belkhouja; Yan Yan; Janardhan Rao Doppa Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. (67%)Taha Belkhouja; Yan Yan; Janardhan Rao Doppa 2022-07-08 Not all broken defenses are equal: The dead angles of adversarial accuracy. (99%)Raphael Olivier; Bhiksha Raj Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization. (99%)Deyin Liu; Lin Wu; Lingqiao Liu; Haifeng Zhao; Farid Boussaid; Mohammed Bennamoun Defense Against Multi-target Trojan Attacks. (80%)Haripriya Harikumar; Santu Rana; Kien Do; Sunil Gupta; Wei Zong; Willy Susilo; Svetha Venkastesh Guiding the retraining of convolutional neural networks against adversarial inputs. (80%)Francisco Durán López; Silverio Martínez-Fernández; Michael Felderer; Xavier Franch Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future. (68%)Byunggill Joe; Insik Shin; Jihun Hamm Models Out of Line: A Fourier Lens on Distribution Shift Robustness. (10%)Sara Fridovich-Keil; Brian R. Bartoldson; James Diffenderfer; Bhavya Kailkhura; Peer-Timo Bremer A law of adversarial risk, interpolation, and label noise. (1%)Daniel Paleka; Amartya Sanyal 2022-07-07 On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network. (99%)Seongjin Park; Haedong Jeong; Giyoung Jeon; Jaesik Choi Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. (11%)Zhuo Huang; Xiaobo Xia; Li Shen; Bo Han; Mingming Gong; Chen Gong; Tongliang Liu CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships. (5%)Rebecca Roelofs; Liting Sun; Ben Caine; Khaled S. Refaat; Ben Sapp; Scott Ettinger; Wei Chai 2022-07-06 The Weaknesses of Adversarial Camouflage in Overhead Imagery. (83%)Etten Adam Van Adversarial Robustness of Visual Dialog. (64%)Lu Yu; Verena Rieser Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information. (54%)Cory Merkel When does Bias Transfer in Transfer Learning? (10%)Hadi Salman; Saachi Jain; Andrew Ilyas; Logan Engstrom; Eric Wong; Aleksander Madry Privacy-preserving Reflection Rendering for Augmented Reality. (2%)Yiqin Zhao; Sheng Wei; Tian Guo Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. (1%)Wenqi Shao; Xun Zhao; Yixiao Ge; Zhaoyang Zhang; Lei Yang; Xiaogang Wang; Ying Shan; Ping Luo 2022-07-05 Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling. (99%)Dan Wang; Jiayu Lin; Yuan-Gen Wang Defending against the Label-flipping Attack in Federated Learning. (98%)Najeeb Moharram Jebreel; Josep Domingo-Ferrer; David Sánchez; Alberto Blanco-Justicia UniCR: Universally Approximated Certified Robustness via Randomized Smoothing. (93%)Hanbin Hong; Binghui Wang; Yuan Hong PRoA: A Probabilistic Robustness Assessment against Functional Perturbations. (92%)Tianle Zhang; Wenjie Ruan; Jonathan E. Fieldsend Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing. (38%)Longkang Li; Baoyuan Wu Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. (1%)Madeline C. Schiappa; Shruti Vyas; Hamid Palangi; Yogesh S. Rawat; Vibhav Vineet Conflicting Interactions Among Protection Mechanisms for Machine Learning Models. (1%)Sebastian Szyller; N. Asokan PoF: Post-Training of Feature Extractor for Improving Generalization. (1%)Ikuro Sato; Ryota Yamada; Masayuki Tanaka; Nakamasa Inoue; Rei Kawakami Class-Specific Semantic Reconstruction for Open Set Recognition. (1%)Hongzhi Huang; Yu Wang; Qinghua Hu; Ming-Ming Cheng 2022-07-04 Hessian-Free Second-Order Adversarial Examples for Adversarial Learning. (99%)Yaguan Qian; Yuqi Wang; Bin Wang; Zhaoquan Gu; Yuhan Guo; Wassim Swaileh Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. (98%)Giovanni Apruzzese; Rodion Vladimirov; Aliya Tastemirova; Pavel Laskov Task-agnostic Defense against Adversarial Patch Attacks. (98%)Ke Xu; Yao Xiao; Zhaoheng Zheng; Kaijie Cai; Ram Nevatia Large-scale Robustness Analysis of Video Action Recognition Models. (70%)Madeline C. Schiappa; Naman Biyani; Shruti Vyas; Hamid Palangi; Vibhav Vineet; Yogesh Rawat Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness. (1%)Saeid Asgari Taghanaki; Ali Gholami; Fereshte Khani; Kristy Choi; Linh Tran; Ran Zhang; Aliasghar Khani 2022-07-03 RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries. (99%)Keshav Kasichainula; Hadi Mansourifar; Weidong Shi Removing Batch Normalization Boosts Adversarial Training. (98%)Haotao Wang; Aston Zhang; Shuai Zheng; Xingjian Shi; Mu Li; Zhangyang Wang Anomaly Detection with Adversarially Learned Perturbations of Latent Space. (13%)Vahid Reza Khazaie; Anthony Wong; John Taylor Jewell; Yalda Mohsenzadeh Identifying the Context Shift between Test Benchmarks and Production Data. (1%)Matthew Groh 2022-07-02 FL-Defender: Combating Targeted Attacks in Federated Learning. (80%)Najeeb Jebreel; Josep Domingo-Ferrer Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis. (11%)Ruinan Jin; Xiaoxiao Li PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection. (1%)Zhi Lu; Vrizlynn L. L. Thing 2022-07-01 Efficient Adversarial Training With Data Pruning. (99%)Maximilian Kaufmann; Yiren Zhao; Ilia Shumailov; Robert Mullins; Nicolas Papernot BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label. (99%)Shengshan Hu; Ziqi Zhou; Yechao Zhang; Leo Yu Zhang; Yifeng Zheng; Yuanyuan HE; Hai Jin 2022-06-30 Detecting and Recovering Adversarial Examples from Extracting Non-robust and Highly Predictive Adversarial Perturbations. (99%)Mingyu Dong; Jiahao Chen; Diqun Yan; Jingxing Gao; Li Dong; Rangding Wang Measuring Forgetting of Memorized Training Examples. (83%)Matthew Jagielski; Om Thakkar; Florian Tramèr; Daphne Ippolito; Katherine Lee; Nicholas Carlini; Eric Wallace; Shuang Song; Abhradeep Thakurta; Nicolas Papernot; Chiyuan Zhang MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors. (80%)Federica Granese; Marine Picot; Marco Romanelli; Francisco Messina; Pablo Piantanida Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. (16%)Kuan Li; Yang Liu; Xiang Ao; Jianfeng Chi; Jinghua Feng; Hao Yang; Qing He Threat Assessment in Machine Learning based Systems. (13%)Lionel Nganyewou Tidjon; Foutse Khomh Robustness of Epinets against Distributional Shifts. (1%)Xiuyuan Lu; Ian Osband; Seyed Mohammad Asghari; Sven Gowal; Vikranth Dwaracherla; Zheng Wen; Roy Benjamin Van ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State. (1%)Xinshao Wang; Yang Hua; Elyor Kodirov; Sankha Subhra Mukherjee; David A. Clifton; Neil M. Robertson 2022-06-29 IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound. (92%)Palma Alessandro De; Rudy Bunel; Krishnamurthy Dvijotham; M. Pawan Kumar; Robert Stanforth Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models. (33%)Lele Wang; Bin Liu longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. (10%)Venelin Kovatchev; Trina Chatterjee; Venkata S Govindarajan; Jifan Chen; Eunsol Choi; Gabriella Chronis; Anubrata Das; Katrin Erk; Matthew Lease; Junyi Jessy Li; Yating Wu; Kyle Mahowald Private Graph Extraction via Feature Explanations. (4%)Iyiola E. Olatunji; Mandeep Rathee; Thorben Funke; Megha Khosla RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness. (2%)Francesco Pinto; Harry Yang; Ser-Nam Lim; Philip H. S. Torr; Puneet K. Dokania 2022-06-28 Increasing Confidence in Adversarial Robustness Evaluations. (99%)Roland S. Zimmermann; Wieland Brendel; Florian Tramer; Nicholas Carlini Rethinking Adversarial Examples for Location Privacy Protection. (93%)Trung-Nghia Le; Ta Gu; Huy H. Nguyen; Isao Echizen A Deep Learning Approach to Create DNS Amplification Attacks. (92%)Jared Mathews; Prosenjit Chatterjee; Shankar Banik; Cory Nance On the amplification of security and privacy risks by post-hoc explanations in machine learning models. (31%)Pengrui Quan; Supriyo Chakraborty; Jeya Vikranth Jeyakumar; Mani Srivastava How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection. (12%)Mantas Mazeika; Bo Li; David Forsyth An Empirical Study of Challenges in Converting Deep Learning Models. (5%)Moses Jack Openja; Amin Jack Nikanjam; Ahmed Haj Jack Yahmed; Foutse Jack Khomh; Zhen Jack Ming; Jiang Reasoning about Moving Target Defense in Attack Modeling Formalisms. (2%)Gabriel Ballot; Vadim Malvone; Jean Leneutre; Etienne Borde AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE. (1%)Changjie Lu; Shen Zheng; Zirui Wang; Omar Dib; Gaurav Gupta 2022-06-27 Adversarial Example Detection in Deployed Tree Ensembles. (99%)Laurens Devos; Wannes Meert; Jesse Davis Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs. (31%)Yulin Zhu; Tomasz Michalak; Xiapu Luo; Kai Zhou Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers. (15%)Georg Siedel; Silvia Vock; Andrey Morozov; Stefan Voß Cyber Network Resilience against Self-Propagating Malware Attacks. (13%)Alesia Chernikova; Nicolò Gozzi; Simona Boboila; Priyanka Angadi; John Loughner; Matthew Wilden; Nicola Perra; Tina Eliassi-Rad; Alina Oprea Quantification of Deep Neural Network Prediction Uncertainties for VVUQ of Machine Learning Models. (4%)Mahmoud Yaseen; Xu Wu 2022-06-26 Self-Healing Robust Neural Networks via Closed-Loop Control. (45%)Zhuotong Chen; Qianxiao Li; Zheng Zhang De-END: Decoder-driven Watermarking Network. (1%)Han Fang; Zhaoyang Jia; Yupeng Qiu; Jiyi Zhang; Weiming Zhang; Ee-Chien Chang 2022-06-25 Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models. (99%)Gavin S. Hartnett; Li Ang Zhang; Caolionn O'Connell; Andrew J. Lohn; Jair Aguirre Defense against adversarial attacks on deep convolutional neural networks through nonlocal denoising. (99%)Sandhya Aneja; Nagender Aneja; Pg Emeroylariffion Abas; Abdul Ghani Naim RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer. (99%)Xiaoliang Liu; Furao Shen; Jian Zhao; Changhai Nie Defending Multimodal Fusion Models against Single-Source Adversaries. (81%)Karren Yang; Wan-Yi Lin; Manash Barman; Filipe Condessa; Zico Kolter BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. (12%)Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu; Shaokui Wei; Danni Yuan; Chao Shen; Hongyuan Zha Cascading Failures in Smart Grids under Random, Targeted and Adaptive Attacks. (1%)Sushmita Ruj; Arindam Pal 2022-06-24 Defending Backdoor Attacks on Vision Transformer via Patch Processing. (99%)Khoa D. Doan; Yingjie Lao; Peng Yang; Ping Li AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. (96%)Wenzheng Hou; Qianqian Xu; Zhiyong Yang; Shilong Bao; Yuan He; Qingming Huang Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective. (92%)Mark Huasong Meng; Guangdong Bai; Sin Gee Teo; Zhe Hou; Yan Xiao; Yun Lin; Jin Song Dong Robustness of Explanation Methods for NLP Models. (82%)Shriya Atmakuri; Tejas Chheda; Dinesh Kandula; Nishant Yadav; Taesung Lee; Hessel Tuinhof zPROBE: Zero Peek Robustness Checks for Federated Learning. (4%)Zahra Ghodsi; Mojan Javaheripi; Nojan Sheybani; Xinqiao Zhang; Ke Huang; Farinaz Koushanfar Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems. (2%)D'Jeff Kanda Nkashama; Arian Soltani; Jean-Charles Verdier; Marc Frappier; Pierre-Marting Tardif; Froduald Kabanza 2022-06-23 Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs. (99%)Chengyin Hu; Weiwen Shi A Framework for Understanding Model Extraction Attack and Defense. (98%)Xun Xian; Mingyi Hong; Jie Ding Towards End-to-End Private Automatic Speaker Recognition. (76%)Francisco Teixeira; Alberto Abad; Bhiksha Raj; Isabel Trancoso BERT Rankers are Brittle: a Study using Adversarial Document Perturbations. (75%)Yumeng Wang; Lijun Lyu; Avishek Anand Never trust, always verify : a roadmap for Trustworthy AI? (1%)Lionel Nganyewou Tidjon; Foutse Khomh Measuring Representational Robustness of Neural Networks Through Shared Invariances. (1%)Vedant Nanda; Till Speicher; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Adrian Weller 2022-06-22 AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture. (99%)Hui Xia; Rui Zhang; Shuliang Jiang; Zi Kang InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. (98%)Mengting Xu; Tao Zhang; Zhongnian Li; Daoqiang Zhang Robust Universal Adversarial Perturbations. (97%)Changming Xu; Gagandeep Singh Guided Diffusion Model for Adversarial Purification from Random Noise. (68%)Quanlin Wu; Hang Ye; Yuntian Gu Understanding the effect of sparsity on neural networks robustness. (61%)Lukas Timpl; Rahim Entezari; Hanie Sedghi; Behnam Neyshabur; Olga Saukh Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles. (41%)Chen Lin; Si Chen; Meifang Zeng; Sheng Zhang; Min Gao; Hui Li 2022-06-21 SSMI: How to Make Objects of Interest Disappear without Accessing Object Detectors? (99%)Hui Xia; Rui Zhang; Zi Kang; Shuliang Jiang Transferable Graph Backdoor Attack. (99%)Shuiqiao Yang; Bao Gia Doan; Paul Montague; Vel Olivier De; Tamas Abraham; Seyit Camtepe; Damith C. Ranasinghe; Salil S. Kanhere (Certified!!) Adversarial Robustness for Free! (83%)Nicholas Dj Carlini; Florian Dj Tramer; Dj Krishnamurthy; Dvijotham; J. Zico Kolter Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems. (81%)Yanchao Sun; Ruijie Zheng; Parisa Hassanzadeh; Yongyuan Liang; Soheil Feizi; Sumitra Ganesh; Furong Huang FlashSyn: Flash Loan Attack Synthesis via Counter Example Driven Approximation. (68%)Zhiyang Chen; Sidi Mohamed Beillahi; Fan Long Natural Backdoor Datasets. (33%)Emily Wenger; Roma Bhattacharjee; Arjun Nitin Bhagoji; Josephine Passananti; Emilio Andere; Haitao Zheng; Ben Y. Zhao The Privacy Onion Effect: Memorization is Relative. (22%)Nicholas Carlini; Matthew Jagielski; Nicolas Papernot; Andreas Terzis; Florian Tramer; Chiyuan Zhang ProML: A Decentralised Platform for Provenance Management of Machine Learning Software Systems. (1%)Nguyen Khoi Tran; Bushra Sabir; M. Ali Babar; Nini Cui; Mehran Abolhasan; Justin Lipman 2022-06-20 Understanding Robust Learning through the Lens of Representation Similarities. (99%)Christian Cianfarani; Arjun Nitin Bhagoji; Vikash Sehwag; Ben Zhao; Prateek Mittal Diversified Adversarial Attacks based on Conjugate Gradient Method. (98%)Keiichiro Yamamura; Haruki Sato; Nariaki Tateiwa; Nozomi Hata; Toru Mitsutake; Issa Oe; Hiroki Ishikura; Katsuki Fujisawa Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum. (76%)Junlin Wu; Yevgeniy Vorobeychik SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. (5%)Chejian Xu; Wenhao Ding; Weijie Lyu; Zuxin Liu; Shuai Wang; Yihan He; Hanjiang Hu; Ding Zhao; Bo Li Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. (1%)Julian Bitterwolf; Alexander Meinke; Maximilian Augustin; Matthias Hein 2022-06-19 On the Limitations of Stochastic Pre-processing Defenses. (99%)Yue Gao; Ilia Shumailov; Kassem Fawaz; Nicolas Papernot Towards Adversarial Attack on Vision-Language Pre-training Models. (98%)Jiaming Zhang; Qi Yi; Jitao Sang A Universal Adversarial Policy for Text Classifiers. (98%)Gallil Maimon; Lior Rokach JPEG Compression-Resistant Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System. (68%)Jiaming Zhang; Qi Yi; Jitao Sang Adversarially trained neural representations may already be as robust as corresponding biological neural representations. (31%)Chong Guo; Michael J. Lee; Guillaume Leclerc; Joel Dapello; Yug Rao; Aleksander Madry; James J. DiCarlo 2022-06-18 Demystifying the Adversarial Robustness of Random Transformation Defenses. (99%)Chawin Sitawarin; Zachary Golan-Strieb; David Wagner On the Role of Generalization in Transferability of Adversarial Examples. (99%)Yilin Wang; Farzan Farnia DECK: Model Hardening for Defending Pervasive Backdoors. (98%)Guanhong Tao; Yingqi Liu; Siyuan Cheng; Shengwei An; Zhuo Zhang; Qiuling Xu; Guangyu Shen; Xiangyu Zhang Measuring Lower Bounds of Local Differential Privacy via Adversary Instantiations in Federated Learning. (10%)Marin Matsumoto; Tsubasa Takahashi; Seng Pei Liew; Masato Oguchi Adversarial Scrutiny of Evidentiary Statistical Software. (2%)Rediet Abebe; Moritz Hardt; Angela Jin; John Miller; Ludwig Schmidt; Rebecca Wexler 2022-06-17 Detecting Adversarial Examples in Batches -- a geometrical approach. (99%)Danush Kumar Venkatesh; Peter Steinbach Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation. (99%)Wen Sun; Jian Jin; Weisi Lin Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. (99%)Deokjae Lee; Seungyong Moon; Junhyeok Lee; Hyun Oh Song Comment on Transferability and Input Transformation with Additive Noise. (99%)Hoki Kim; Jinseong Park; Jaewook Lee Adversarial Robustness is at Odds with Lazy Training. (98%)Yunjuan Wang; Enayat Ullah; Poorya Mianjy; Raman Arora Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection. (83%)Jinyin Chen; Chengyu Jia; Haibin Zheng; Ruoxi Chen; Chenbo Fu RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval. (81%)Yihan Wu; Hongyang Zhang; Heng Huang The Consistency of Adversarial Training for Binary Classification. (26%)Natalie S. Frank; Jonathan Niles-Weed Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification. (15%)Natalie S. Frank Understanding Robust Overfitting of Adversarial Training and Beyond. (8%)Chaojian Yu; Bo Han; Li Shen; Jun Yu; Chen Gong; Mingming Gong; Tongliang Liu 2022-06-16 Adversarial Privacy Protection on Speech Enhancement. (99%)Mingyu Dong; Diqun Yan; Rangding Wang Boosting the Adversarial Transferability of Surrogate Model with Dark Knowledge. (99%)Dingcheng Yang; Zihao Xiao; Wenjian Yu Analysis and Extensions of Adversarial Training for Video Classification. (93%)Kaleab A. Kinfu; René Vidal Double Sampling Randomized Smoothing. (89%)Linyi Li; Jiawei Zhang; Tao Xie; Bo Li Adversarial Robustness of Graph-based Anomaly Detection. (76%)Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jian Ren; Kai Zhou A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks. (68%)Ganqu Cui; Lifan Yuan; Bingxiang He; Yangyi Chen; Zhiyuan Liu; Maosong Sun Backdoor Attacks on Vision Transformers. (31%)Akshayvarun Subramanya; Aniruddha Saha; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey. (22%)Abhijith Sharma; Yijun Bian; Phil Munz; Apurva Narayan I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences. (5%)Daryna Oliynyk; Rudolf Mayer; Andreas Rauber Catastrophic overfitting is a bug but also a feature. (2%)Guillermo Ortiz-Jiménez; Jorge Pau de; Amartya Sanyal; Adel Bibi; Puneet K. Dokania; Pascal Frossard; Gregory Rogéz; Philip H. S. Torr Gradient-Based Adversarial and Out-of-Distribution Detection. (2%)Jinsol Lee; Mohit Prabhushankar; Ghassan AlRegib "Understanding Robustness Lottery": A Comparative Visual Analysis of Neural Network Pruning Approaches. (1%)Zhimin Li; Shusen Liu; Xin Yu; Kailkhura Bhavya; Jie Cao; Diffenderfer James Daniel; Peer-Timo Bremer; Valerio Pascucci 2022-06-15 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. (99%)Ruize Gao; Jiongxiao Wang; Kaiwen Zhou; Feng Liu; Binghui Xie; Gang Niu; Bo Han; James Cheng Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection. (99%)Abderrahmen Amich; Ata Kaboudi; Birhanu Eshete Architectural Backdoors in Neural Networks. (83%)Mikel Bober-Irizar; Ilia Shumailov; Yiren Zhao; Robert Mullins; Nicolas Papernot Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning. (75%)Jonah O'Brien Weiss; Tiago Alves; Sandip Kundu Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. (74%)Tianlong Chen; Huan Zhang; Zhenyu Zhang; Shiyu Chang; Sijia Liu; Pin-Yu Chen; Zhangyang Wang Search-Based Testing Approach for Deep Reinforcement Learning Agents. (61%)Amirhossein Zolfagharian; Manel Abdellatif; Lionel Briand; Mojtaba Bagherzadeh; Ramesh S Can pruning improve certified robustness of neural networks? (56%)Zhangheng Li; Tianlong Chen; Linyi Li; Bo Li; Zhangyang Wang Improving Diversity with Adversarially Learned Transformations for Domain Generalization. (33%)Tejas Gokhale; Rushil Anirudh; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Chitta Baral; Yezhou Yang Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. (11%)Tianlong Chen; Sijia Liu; Shiyu Chang; Lisa Amini; Zhangyang Wang The Manifold Hypothesis for Gradient-Based Explanations. (2%)Sebastian Bordt; Uddeshya Upadhyay; Zeynep Akata; Luxburg Ulrike von READ: Aggregating Reconstruction Error into Out-of-distribution Detection. (1%)Wenyu Jiang; Hao Cheng; Mingcai Chen; Shuai Feng; Yuxin Ge; Chongjun Wang 2022-06-14 Adversarial Vulnerability of Randomized Ensembles. (99%)Hassan Dbouk; Naresh R. Shanbhag Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training. (99%)B. R. Manoj; Meysam Sadeghi; Erik G. Larsson Proximal Splitting Adversarial Attacks for Semantic Segmentation. (92%)Jérôme Rony; Jean-Christophe Pesquet; Ismail Ben Ayed Flatten the Curve: Efficiently Training Low-Curvature Neural Networks. (92%)Suraj Srinivas; Kyle Matoba; Himabindu Lakkaraju; Francois Fleuret Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising. (88%)Zikang Xiong; Joe Eappen; He Zhu; Suresh Jagannathan Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO. (86%)Javier Rando; Nasib Naimi; Thomas Baumann; Max Mathys Turning a Curse Into a Blessing: Enabling Clean-Data-Free Defenses by Model Inversion. (68%)Si Chen; Yi Zeng; Won Park; Ruoxi Jia Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises. (62%)Minkyu Choi; Yizhen Zhang; Kuan Han; Xiaokai Wang; Zhongming Liu When adversarial attacks become interpretable counterfactual explanations. (62%)Mathieu Serrurier; Franck Mamalet; Thomas Fel; Louis Béthune; Thibaut Boissin Attacks on Perception-Based Control Systems: Modeling and Fundamental Limits. (2%)Amir Khazraei; Henry Pfister; Miroslav Pajic A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise. (1%)Jongwoo Ko; Bongsoo Yi; Se-Young Yun A Survey on Gradient Inversion: Attacks, Defenses and Future Directions. (1%)Rui Zhang; Song Guo; Junxiao Wang; Xin Xie; Dacheng Tao 2022-06-13 Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations. (99%)Kaustubh Sridhar; Souradeep Dutta; Ramneet Kaur; James Weimer; Oleg Sokolsky; Insup Lee Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. (99%)Gaoyuan Zhang; Songtao Lu; Yihua Zhang; Xiangyi Chen; Pin-Yu Chen; Quanfu Fan; Lee Martie; Lior Horesh; Mingyi Hong; Sijia Liu Pixel to Binary Embedding Towards Robustness for CNNs. (47%)Ikki Kishida; Hideki Nakayama Towards Understanding Sharpness-Aware Minimization. (1%)Maksym Andriushchenko; Nicolas Flammarion Efficient Human-in-the-loop System for Guiding DNNs Attention. (1%)Yi He; Xi Yang; Chia-Ming Chang; Haoran Xie; Takeo Igarashi 2022-06-12 Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation. (98%)You Qiaoben; Chengyang Ying; Xinning Zhou; Hang Su; Jun Zhu; Bo Zhang Security of Machine Learning-Based Anomaly Detection in Cyber Physical Systems. (92%)Zahra Jadidi; Shantanu Pal; Nithesh Nayak K; Arawinkumaar Selvakkumar; Chih-Chia Chang; Maedeh Beheshti; Alireza Jolfaei Darknet Traffic Classification and Adversarial Attacks. (81%)Nhien Rust-Nguyen; Mark Stamp InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness. (26%)Shruthi Gowda; Bahram Zonooz; Elahe Arani RSSD: Defend against Ransomware with Hardware-Isolated Network-Storage Codesign and Post-Attack Analysis. (9%)Benjamin Reidys; Peng Liu; Jian Huang Neurotoxin: Durable Backdoors in Federated Learning. (5%)Zhengming Zhang; Ashwinee Panda; Linyue Song; Yaoqing Yang; Michael W. Mahoney; Joseph E. Gonzalez; Kannan Ramchandran; Prateek Mittal An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines. (4%)Wen Su; Qingna Li 2022-06-11 Improving the Adversarial Robustness of NLP Models by Information Bottleneck. (99%)Cenyuan Zhang; Xiang Zhou; Yixin Wan; Xiaoqing Zheng; Kai-Wei Chang; Cho-Jui Hsieh Defending Adversarial Examples by Negative Correlation Ensemble. (99%)Wenjian Luo; Hongwei Zhang; Linghao Kong; Zhijian Chen; Ke Tang NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. (81%)Nuo Xu; Binghui Wang; Ran Ran; Wujie Wen; Parv Venkitasubramaniam Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. (69%)Xiong Peng; Feng Liu; Jingfen Zhang; Long Lan; Junjie Ye; Tongliang Liu; Bo Han 2022-06-10 Localized adversarial artifacts for compressed sensing MRI. (76%)Rima Alaifari; Giovanni S. Alberti; Tandri Gauksson Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency. (70%)Jinyin Chen; Mingjun Li; Tao Liu; Haibin Zheng; Yao Cheng; Changting Lin Blades: A Simulator for Attacks and Defenses in Federated Learning. (33%)Shenghui Li; Li Ju; Tianru Zhang; Edith Ngai; Thiemo Voigt Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers. (9%)Nan Luo; Yuanzhang Li; Yajie Wang; Shangbo Wu; Yu-an Tan; Quanxin Zhang Deep Leakage from Model in Federated Learning. (3%)Zihao Zhao; Mengen Luo; Wenbo Ding Adversarial Counterfactual Environment Model Learning. (1%)Xiong-Hui Chen; Yang Yu; Zheng-Mao Zhu; Zhihua Yu; Zhenjun Chen; Chenghe Wang; Yinan Wu; Hongqiu Wu; Rong-Jun Qin; Ruijin Ding; Fangsheng Huang 2022-06-09 CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models. (99%)Federico Nesti; Giulio Rossolini; Gianluca D'Amico; Alessandro Biondi; Giorgio Buttazzo ReFace: Real-time Adversarial Attacks on Face Recognition Systems. (99%)Shehzeen Hussain; Todd Huster; Chris Mesterharm; Paarth Neekhara; Kevin An; Malhar Jere; Harshvardhan Sikka; Farinaz Koushanfar Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. (98%)Huishuai Zhang; Da Yu; Yiping Lu; Di He Meet You Halfway: Explaining Deep Learning Mysteries. (92%)Oriel BenShmuel Early Transferability of Adversarial Examples in Deep Neural Networks. (86%)Oriel BenShmuel GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. (86%)Zhongkai Hao; Chengyang Ying; Yinpeng Dong; Hang Su; Jun Zhu; Jian Song Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. (84%)Aarohi Shammie Srivastava; Abhinav Shammie Rastogi; Abhishek Shammie Rao; Abu Awal Md Shammie Shoeb; Abubakar Shammie Abid; Adam Shammie Fisch; Adam R. Shammie Brown; Adam Shammie Santoro; Aditya Shammie Gupta; Adrià Shammie Garriga-Alonso; Agnieszka Shammie Kluska; Aitor Shammie Lewkowycz; Akshat Shammie Agarwal; Alethea Shammie Power; Alex Shammie Ray; Alex Shammie Warstadt; Alexander W. Shammie Kocurek; Ali Shammie Safaya; Ali Shammie Tazarv; Alice Shammie Xiang; Alicia Shammie Parrish; Allen Shammie Nie; Aman Shammie Hussain; Amanda Shammie Askell; Amanda Shammie Dsouza; Ambrose Shammie Slone; Ameet Shammie Rahane; Anantharaman S. Shammie Iyer; Anders Shammie Andreassen; Andrea Shammie Madotto; Andrea Shammie Santilli; Andreas Shammie Stuhlmüller; Andrew Shammie Dai; Andrew Shammie La; Andrew Shammie Lampinen; Andy Shammie Zou; Angela Shammie Jiang; Angelica Shammie Chen; Anh Shammie Vuong; Animesh Shammie Gupta; Anna Shammie Gottardi; Antonio Shammie Norelli; Anu Shammie Venkatesh; Arash Shammie Gholamidavoodi; Arfa Shammie Tabassum; Arul Shammie Menezes; Arun Shammie Kirubarajan; Asher Shammie Mullokandov; Ashish Shammie Sabharwal; Austin Shammie Herrick; Avia Shammie Efrat; Aykut Shammie Erdem; Ayla Shammie Karakaş; B. Ryan Shammie Roberts; Bao Sheng Shammie Loe; Barret Shammie Zoph; Bartłomiej Shammie Bojanowski; Batuhan Shammie Özyurt; Behnam Shammie Hedayatnia; Behnam Shammie Neyshabur; Benjamin Shammie Inden; Benno Shammie Stein; Berk Shammie Ekmekci; Bill Yuchen Shammie Lin; Blake Shammie Howald; Cameron Shammie Diao; Cameron Shammie Dour; Catherine Shammie Stinson; Cedrick Shammie Argueta; César Ferri Shammie Ramírez; Chandan Shammie Singh; Charles Shammie Rathkopf; Chenlin Shammie Meng; Chitta Shammie Baral; Chiyu Shammie Wu; Chris Shammie Callison-Burch; Chris Shammie Waites; Christian Shammie Voigt; Christopher D. Shammie Manning; Christopher Shammie Potts; Cindy Shammie Ramirez; Clara E. Shammie Rivera; Clemencia Shammie Siro; Colin Shammie Raffel; Courtney Shammie Ashcraft; Cristina Shammie Garbacea; Damien Shammie Sileo; Dan Shammie Garrette; Dan Shammie Hendrycks; Dan Shammie Kilman; Dan Shammie Roth; Daniel Shammie Freeman; Daniel Shammie Khashabi; Daniel Shammie Levy; Daniel Moseguí Shammie González; Danielle Shammie Perszyk; Danny Shammie Hernandez; Danqi Shammie Chen; Daphne Shammie Ippolito; Dar Shammie Gilboa; David Shammie Dohan; David Shammie Drakard; David Shammie Jurgens; Debajyoti Shammie Datta; Deep Shammie Ganguli; Denis Shammie Emelin; Denis Shammie Kleyko; Deniz Shammie Yuret; Derek Shammie Chen; Derek Shammie Tam; Dieuwke Shammie Hupkes; Diganta Shammie Misra; Dilyar Shammie Buzan; Dimitri Coelho Shammie Mollo; Diyi Shammie Yang; Dong-Ho Shammie Lee; Ekaterina Shammie Shutova; Ekin Dogus Shammie Cubuk; Elad Shammie Segal; Eleanor Shammie Hagerman; Elizabeth Shammie Barnes; Elizabeth Shammie Donoway; Ellie Shammie Pavlick; Emanuele Shammie Rodola; Emma Shammie Lam; Eric Shammie Chu; Eric Shammie Tang; Erkut Shammie Erdem; Ernie Shammie Chang; Ethan A. Shammie Chi; Ethan Shammie Dyer; Ethan Shammie Jerzak; Ethan Shammie Kim; Eunice Engefu Shammie Manyasi; Evgenii Shammie Zheltonozhskii; Fanyue Shammie Xia; Fatemeh Shammie Siar; Fernando Shammie Martínez-Plumed; Francesca Shammie Happé; Francois Shammie Chollet; Frieda Shammie Rong; Gaurav Shammie Mishra; Genta Indra Shammie Winata; Melo Gerard Shammie de; Germán Shammie Kruszewski; Giambattista Shammie Parascandolo; Giorgio Shammie Mariani; Gloria Shammie Wang; Gonzalo Shammie Jaimovitch-López; Gregor Shammie Betz; Guy Shammie Gur-Ari; Hana Shammie Galijasevic; Hannah Shammie Kim; Hannah Shammie Rashkin; Hannaneh Shammie Hajishirzi; Harsh Shammie Mehta; Hayden Shammie Bogar; Henry Shammie Shevlin; Hinrich Shammie Schütze; Hiromu Shammie Yakura; Hongming Shammie Zhang; Hugh Mee Shammie Wong; Ian Shammie Ng; Isaac Shammie Noble; Jaap Shammie Jumelet; Jack Shammie Geissinger; Jackson Shammie Kernion; Jacob Shammie Hilton; Jaehoon Shammie Lee; Jaime Fernández Shammie Fisac; James B. Shammie Simon; James Shammie Koppel; James Shammie Zheng; James Shammie Zou; Jan Shammie Kocoń; Jana Shammie Thompson; Jared Shammie Kaplan; Jarema Shammie Radom; Jascha Shammie Sohl-Dickstein; Jason Shammie Phang; Jason Shammie Wei; Jason Shammie Yosinski; Jekaterina Shammie Novikova; Jelle Shammie Bosscher; Jennifer Shammie Marsh; Jeremy Shammie Kim; Jeroen Shammie Taal; Jesse Shammie Engel; Jesujoba Shammie Alabi; Jiacheng Shammie Xu; Jiaming Shammie Song; Jillian Shammie Tang; Joan Shammie Waweru; John Shammie Burden; John Shammie Miller; John U. Shammie Balis; Jonathan Shammie Berant; Jörg Shammie Frohberg; Jos Shammie Rozen; Jose Shammie Hernandez-Orallo; Joseph Shammie Boudeman; Joseph Shammie Jones; Joshua B. Shammie Tenenbaum; Joshua S. Shammie Rule; Joyce Shammie Chua; Kamil Shammie Kanclerz; Karen Shammie Livescu; Karl Shammie Krauth; Karthik Shammie Gopalakrishnan; Katerina Shammie Ignatyeva; Katja Shammie Markert; Kaustubh D. Shammie Dhole; Kevin Shammie Gimpel; Kevin Shammie Omondi; Kory Shammie Mathewson; Kristen Shammie Chiafullo; Ksenia Shammie Shkaruta; Kumar Shammie Shridhar; Kyle Shammie McDonell; Kyle Shammie Richardson; Laria Shammie Reynolds; Leo Shammie Gao; Li Shammie Zhang; Liam Shammie Dugan; Lianhui Shammie Qin; Lidia Shammie Contreras-Ochando; Louis-Philippe Shammie Morency; Luca Shammie Moschella; Lucas Shammie Lam; Lucy Shammie Noble; Ludwig Shammie Schmidt; Luheng Shammie He; Luis Oliveros Shammie Colón; Luke Shammie Metz; Lütfi Kerem Shammie Şenel; Maarten Shammie Bosma; Maarten Shammie Sap; Hoeve Maartje Shammie ter; Maheen Shammie Farooqi; Manaal Shammie Faruqui; Mantas Shammie Mazeika; Marco Shammie Baturan; Marco Shammie Marelli; Marco Shammie Maru; Maria Jose Ramírez Shammie Quintana; Marie Shammie Tolkiehn; Mario Shammie Giulianelli; Martha Shammie Lewis; Martin Shammie Potthast; Matthew L. Shammie Leavitt; Matthias Shammie Hagen; Mátyás Shammie Schubert; Medina Orduna Shammie Baitemirova; Melody Shammie Arnaud; Melvin Shammie McElrath; Michael A. Shammie Yee; Michael Shammie Cohen; Michael Shammie Gu; Michael Shammie Ivanitskiy; Michael Shammie Starritt; Michael Shammie Strube; Michał Shammie Swędrowski; Michele Shammie Bevilacqua; Michihiro Shammie Yasunaga; Mihir Shammie Kale; Mike Shammie Cain; Mimee Shammie Xu; Mirac Shammie Suzgun; Mo Shammie Tiwari; Mohit Shammie Bansal; Moin Shammie Aminnaseri; Mor Shammie Geva; Mozhdeh Shammie Gheini; Mukund Varma Shammie T; Nanyun Shammie Peng; Nathan Shammie Chi; Nayeon Shammie Lee; Neta Gur-Ari Shammie Krakover; Nicholas Shammie Cameron; Nicholas Shammie Roberts; Nick Shammie Doiron; Nikita Shammie Nangia; Niklas Shammie Deckers; Niklas Shammie Muennighoff; Nitish Shirish Shammie Keskar; Niveditha S. Shammie Iyer; Noah Shammie Constant; Noah Shammie Fiedel; Nuan Shammie Wen; Oliver Shammie Zhang; Omar Shammie Agha; Omar Shammie Elbaghdadi; Omer Shammie Levy; Owain Shammie Evans; Pablo Antonio Moreno Shammie Casares; Parth Shammie Doshi; Pascale Shammie Fung; Paul Pu Shammie Liang; Paul Shammie Vicol; Pegah Shammie Alipoormolabashi; Peiyuan Shammie Liao; Percy Shammie Liang; Peter Shammie Chang; Peter Shammie Eckersley; Phu Mon Shammie Htut; Pinyu Shammie Hwang; Piotr Shammie Miłkowski; Piyush Shammie Patil; Pouya Shammie Pezeshkpour; Priti Shammie Oli; Qiaozhu Shammie Mei; Qing Shammie Lyu; Qinlang Shammie Chen; Rabin Shammie Banjade; Rachel Etta Shammie Rudolph; Raefer Shammie Gabriel; Rahel Shammie Habacker; Ramón Risco Shammie Delgado; Raphaël Shammie Millière; Rhythm Shammie Garg; Richard Shammie Barnes; Rif A. Shammie Saurous; Riku Shammie Arakawa; Robbe Shammie Raymaekers; Robert Shammie Frank; Rohan Shammie Sikand; Roman Shammie Novak; Roman Shammie Sitelew; Ronan Shammie LeBras; Rosanne Shammie Liu; Rowan Shammie Jacobs; Rui Shammie Zhang; Ruslan Shammie Salakhutdinov; Ryan Shammie Chi; Ryan Shammie Lee; Ryan Shammie Stovall; Ryan Shammie Teehan; Rylan Shammie Yang; Sahib Shammie Singh; Saif M. Shammie Mohammad; Sajant Shammie Anand; Sam Shammie Dillavou; Sam Shammie Shleifer; Sam Shammie Wiseman; Samuel Shammie Gruetter; Samuel R. Shammie Bowman; Samuel S. Shammie Schoenholz; Sanghyun Shammie Han; Sanjeev Shammie Kwatra; Sarah A. Shammie Rous; Sarik Shammie Ghazarian; Sayan Shammie Ghosh; Sean Shammie Casey; Sebastian Shammie Bischoff; Sebastian Shammie Gehrmann; Sebastian Shammie Schuster; Sepideh Shammie Sadeghi; Shadi Shammie Hamdan; Sharon Shammie Zhou; Shashank Shammie Srivastava; Sherry Shammie Shi; Shikhar Shammie Singh; Shima Shammie Asaadi; Shixiang Shane Shammie Gu; Shubh Shammie Pachchigar; Shubham Shammie Toshniwal; Shyam Shammie Upadhyay; Shammie Shyamolima; Debnath; Siamak Shakeri; Simon Thormeyer; Simone Melzi; Siva Reddy; Sneha Priscilla Makini; Soo-Hwan Lee; Spencer Torene; Sriharsha Hatwar; Stanislas Dehaene; Stefan Divic; Stefano Ermon; Stella Biderman; Stephanie Lin; Stephen Prasad; Steven T. Piantadosi; Stuart M. Shieber; Summer Misherghi; Svetlana Kiritchenko; Swaroop Mishra; Tal Linzen; Tal Schuster; Tao Li; Tao Yu; Tariq Ali; Tatsu Hashimoto; Te-Lin Wu; Théo Desbordes; Theodore Rothschild; Thomas Phan; Tianle Wang; Tiberius Nkinyili; Timo Schick; Timofei Kornev; Timothy Telleen-Lawton; Titus Tunduny; Tobias Gerstenberg; Trenton Chang; Trishala Neeraj; Tushar Khot; Tyler Shultz; Uri Shaham; Vedant Misra; Vera Demberg; Victoria Nyamai; Vikas Raunak; Vinay Ramasesh; Vinay Uday Prabhu; Vishakh Padmakumar; Vivek Srikumar; William Fedus; William Saunders; William Zhang; Wout Vossen; Xiang Ren; Xiaoyu Tong; Xinran Zhao; Xinyi Wu; Xudong Shen; Yadollah Yaghoobzadeh; Yair Lakretz; Yangqiu Song; Yasaman Bahri; Yejin Choi; Yichi Yang; Yiding Hao; Yifu Chen; Yonatan Belinkov; Yu Hou; Yufang Hou; Yuntao Bai; Zachary Seid; Zhuoye Zhao; Zijian Wang; Zijie J. Wang; Zirui Wang; Ziyi Wu Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. (41%)Tianlong Chen; Zhenyu Zhang; Sijia Liu; Yang Zhang; Shiyu Chang; Zhangyang Wang DORA: Exploring outlier representations in Deep Neural Networks. (1%)Kirill Bykov; Mayukh Deb; Dennis Grinwald; Klaus-Robert Müller; Marina M. -C. Höhne Membership Inference via Backdooring. (1%)Hongsheng Hu; Zoran Salcic; Gillian Dobbie; Jinjun Chen; Lichao Sun; Xuyun Zhang 2022-06-08 Wavelet Regularization Benefits Adversarial Training. (99%)Jun Yan; Huilin Yin; Xiaoyang Deng; Ziming Zhao; Wancheng Ge; Hao Zhang; Gerhard Rigoll Latent Boundary-guided Adversarial Training. (99%)Xiaowei Zhou; Ivor W. Tsang; Jie Yin Adversarial Text Normalization. (73%)Joanna Bitton; Maya Pavlova; Ivan Evtimov Autoregressive Perturbations for Data Poisoning. (70%)Pedro Sandoval-Segura; Vasu Singla; Jonas Geiping; Micah Goldblum; Tom Goldstein; David W. Jacobs Toward Certified Robustness Against Real-World Distribution Shifts. (5%)Haoze Wu; Teruhiro Tagomori; Alexander Robey; Fengjun Yang; Nikolai Matni; George Pappas; Hamed Hassani; Corina Pasareanu; Clark Barrett Generative Adversarial Networks and Image-Based Malware Classification. (1%)Huy Nguyen; Troia Fabio Di; Genya Ishigaki; Mark Stamp Robust Deep Ensemble Method for Real-world Image Denoising. (1%)Pengju Liu; Hongzhi Zhang; Jinghui Wang; Yuzhi Wang; Dongwei Ren; Wangmeng Zuo 2022-06-07 Fooling Explanations in Text Classifiers. (99%)Adam Ivankay; Ivan Girardi; Chiara Marchiori; Pascal Frossard AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems. (99%)Guangke Chen; Zhe Zhao; Fu Song; Sen Chen; Lingling Fan; Yang Liu Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition. (99%)Guangke Chen; Zhe Zhao; Fu Song; Sen Chen; Lingling Fan; Feng Wang; Jiashui Wang Adaptive Regularization for Adversarial Training. (98%)Dongyoon Yang; Insung Kong; Yongdai Kim Building Robust Ensembles via Margin Boosting. (83%)Dinghuai Zhang; Hongyang Zhang; Aaron Courville; Yoshua Bengio; Pradeep Ravikumar; Arun Sai Suggala Can Backdoor Attacks Survive Time-Varying Models? (67%)Huiying Li; Arjun Nitin Bhagoji; Ben Y. Zhao; Haitao Zheng Subject Membership Inference Attacks in Federated Learning. (4%)Anshuman Suri; Pallika Kanani; Virendra J. Marathe; Daniel W. Peterson Adversarial Reprogramming Revisited. (3%)Matthias Englert; Ranko Lazic Certifying Data-Bias Robustness in Linear Regression. (1%)Anna P. Meyer; Aws Albarghouthi; Loris D'Antoni Parametric Chordal Sparsity for SDP-based Neural Network Verification. (1%)Anton Xue; Lars Lindemann; Rajeev Alur Can CNNs Be More Robust Than Transformers? (1%)Zeyu Wang; Yutong Bai; Yuyin Zhou; Cihang Xie 2022-06-06 Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning. (99%)Thomas Hickling; Nabil Aouf; Phillippa Spencer Fast Adversarial Training with Adaptive Step Size. (98%)Zhichao Huang; Yanbo Fan; Chen Liu; Weizhong Zhang; Yong Zhang; Mathieu Salzmann; Sabine Süsstrunk; Jue Wang Certified Robustness in Federated Learning. (87%)Motasem Alfarra; Juan C. Pérez; Egor Shulgin; Peter Richtárik; Bernard Ghanem Robust Image Protection Countering Cropping Manipulation. (12%)Qichao Ying; Hang Zhou; Zhenxing Qian; Sheng Li; Xinpeng Zhang PCPT and ACPT: Copyright Protection and Traceability Scheme for DNN Model. (3%)Xuefeng Fan; Hangyu Gui; Xiaoyi Zhou Tackling covariate shift with node-based Bayesian neural networks. (1%)Trung Trinh; Markus Heinonen; Luigi Acerbi; Samuel Kaski Anomaly Detection with Test Time Augmentation and Consistency Evaluation. (1%)Haowei He; Jiaye Teng; Yang Yuan 2022-06-05 Federated Adversarial Training with Transformers. (98%)Ahmed Aldahdooh; Wassim Hamidouche; Olivier Déforges Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training. (98%)Guodong Cao; Zhibo Wang; Xiaowei Dong; Zhifei Zhang; Hengchang Guo; Zhan Qin; Kui Ren 2022-06-04 Soft Adversarial Training Can Retain Natural Accuracy. (76%)Abhijith Sharma; Apurva Narayan 2022-06-03 Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. (99%)Zeyu Dai; Shengcai Liu; Ke Tang; Qing Li Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis. (96%)Raphael Ettedgui; Alexandre Araujo; Rafael Pinot; Yann Chevaleyre; Jamal Atif Evaluating Transfer-based Targeted Adversarial Perturbations against Real-World Computer Vision Systems based on Human Judgments. (92%)Zhengyu Zhao; Nga Dang; Martha Larson A Robust Backpropagation-Free Framework for Images. (80%)Timothy Zee; Alexander G. Ororbia; Ankur Mali; Ifeoma Nwogu Gradient Obfuscation Checklist Test Gives a False Sense of Security. (73%)Nikola Popovic; Danda Pani Paudel; Thomas Probst; Gool Luc Van Kallima: A Clean-label Framework for Textual Backdoor Attacks. (26%)Xiaoyi Chen; Yinpeng Dong; Zeyu Sun; Shengfang Zhai; Qingni Shen; Zhonghai Wu 2022-06-02 FACM: Correct the Output of Deep Neural Network with Middle Layers Features against Adversarial Samples. (99%)Xiangyuan Yang; Jie Lin; Hanlin Zhang; Xinyu Yang; Peng Zhao Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction. (99%)Xiangyuan Yang; Jie Lin; Hanlin Zhang; Xinyu Yang; Peng Zhao Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection. (99%)Linhai Ma; Liang Liang Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline. (99%)Junjian Li; Honglong Chen Adversarial Laser Spot: Robust and Covert Physical Adversarial Attack to DNNs. (98%)Chengyin Hu Adversarial Unlearning: Reducing Confidence Along Adversarial Directions. (31%)Amrith Setlur; Benjamin Eysenbach; Virginia Smith; Sergey Levine MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. (8%)Chen Chen; Zeju Li; Cheng Ouyang; Matt Sinclair; Wenjia Bai; Daniel Rueckert A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection. (4%)Wei Guo; Benedetta Tondi; Mauro Barni Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling. (1%)Jian Hu; Haowen Zhong; Junchi Yan; Shaogang Gong; Guile Wu; Fei Yang 2022-06-01 On the reversibility of adversarial attacks. (99%)Chau Yi Li; Ricardo Sánchez-Matilla; Ali Shahin Shamsabadi; Riccardo Mazzon; Andrea Cavallaro NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. (99%)Mahya Morid Ahmadi; Lilas Alrahis; Alessio Colucci; Ozgur Sinanoglu; Muhammad Shafique Attack-Agnostic Adversarial Detection. (99%)Jiaxin Cheng; Mohamed Hussein; Jay Billa; Wael AbdAlmageed On the Perils of Cascading Robust Classifiers. (98%)Ravi Mangal; Zifan Wang; Chi Zhang; Klas Leino; Corina Pasareanu; Matt Fredrikson Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. (98%)Run Wang; Ziheng Huang; Zhikai Chen; Li Liu; Jing Chen; Lina Wang Support Vector Machines under Adversarial Label Contamination. (97%)Huang Xiao; Battista Biggio; Blaine Nelson; Han Xiao; Claudia Eckert; Fabio Roli Defense Against Gradient Leakage Attacks via Learning to Obscure Data. (80%)Yuxuan Wan; Han Xu; Xiaorui Liu; Jie Ren; Wenqi Fan; Jiliang Tang The robust way to stack and bag: the local Lipschitz way. (70%)Thulasi Tholeti; Sheetal Kalyani Robustness Evaluation and Adversarial Training of an Instance Segmentation Model. (54%)Jacob Bond; Andrew Lingg RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. (1%)Hangzhi Guo; Feiran Jia; Jinghui Chen; Anna Squicciarini; Amulya Yadav 2022-05-31 Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems. (99%)Zeyan Liu; Fengjun Li; Jingqiang Lin; Zhu Li; Bo Luo Exact Feature Collisions in Neural Networks. (95%)Utku Ozbulak; Manvel Gasparyan; Shodhan Rao; Neve Wesley De; Messem Arnout Van CodeAttack: Code-based Adversarial Attacks for Pre-Trained Programming Language Models. (86%)Akshita Jha; Chandan K. Reddy CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences. (83%)Shang Wang; Yansong Gao; Anmin Fu; Zhi Zhang; Yuqing Zhang; Willy Susilo Semantic Autoencoder and Its Potential Usage for Adversarial Attack. (81%)Yurui Ming; Cuihuan Du; Chin-Teng Lin An Effective Fusion Method to Enhance the Robustness of CNN. (80%)Yating Ma; Zhichao Lian Order-sensitive Shapley Values for Evaluating Conceptual Soundness of NLP Models. (64%)Kaiji Lu; Anupam Datta Generative Models with Information-Theoretic Protection Against Membership Inference Attacks. (10%)Parisa Hassanzadeh; Robert E. Tillman Likelihood-Free Inference with Generative Neural Networks via Scoring Rule Minimization. (1%)Lorenzo Pacchiardi; Ritabrata Dutta 2022-05-30 Exposing Fine-grained Adversarial Vulnerability of Face Anti-spoofing Models. (99%)Songlin Yang; Wei Wang; Chenye Xu; Bo Peng; Jing Dong Searching for the Essence of Adversarial Perturbations. (99%)Dennis Y. Menn; Hung-yi Lee Guided Diffusion Model for Adversarial Purification. (99%)Jinyi Wang; Zhaoyang Lyu; Dahua Lin; Bo Dai; Hongfei Fu Domain Constraints in Feature Space: Strengthening Robustness of Android Malware Detection against Realizable Adversarial Examples. (98%)Hamid Bostani; Zhuoran Liu; Zhengyu Zhao; Veelasha Moonsamy Why Adversarial Training of ReLU Networks Is Difficult? (68%)Xu Cheng; Hao Zhang; Yue Xin; Wen Shen; Jie Ren; Quanshi Zhang CalFAT: Calibrated Federated Adversarial Training with Label Skewness. (67%)Chen Chen; Yuchen Liu; Xingjun Ma; Lingjuan Lyu Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions. (15%)Rucha Shinde; Shruti Patil; Ketan Kotecha; Vidyasagar Potdar; Ganeshsree Selvachandran; Ajith Abraham Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning. (13%)Yinglun Xu; Qi Zeng; Gagandeep Singh White-box Membership Attack Against Machine Learning Based Retinopathy Classification. (10%)Mounia Hamidouche; Reda Bellafqira; Gwenolé Quellec; Gouenou Coatrieux Snoopy: A Webpage Fingerprinting Framework with Finite Query Model for Mass-Surveillance. (2%)Gargi Mitra; Prasanna Karthik Vairam; Sandip Saha; Nitin Chandrachoodan; V. Kamakoti 2022-05-29 Robust Weight Perturbation for Adversarial Training. (99%)Chaojian Yu; Bo Han; Mingming Gong; Li Shen; Shiming Ge; Bo Du; Tongliang Liu Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks. (99%)Eyad Shtaiwi; Ahmed El Ouadrhiri; Majid Moradikia; Salma Sultana; Ahmed Abdelhadi; Zhu Han Unfooling Perturbation-Based Post Hoc Explainers. (98%)Zachariah Carmichael; Walter J Scheirer On the Robustness of Safe Reinforcement Learning under Observational Perturbations. (93%)Zuxin Liu; Zijian Guo; Zhepeng Cen; Huan Zhang; Jie Tan; Bo Li; Ding Zhao Superclass Adversarial Attack. (80%)Soichiro Kumano; Hiroshi Kera; Toshihiko Yamasaki Problem-Space Evasion Attacks in the Android OS: a Survey. (50%)Harel Berger; Chen Hajaj; Amit Dvir Context-based Virtual Adversarial Training for Text Classification with Noisy Labels. (11%)Do-Myoung Lee; Yeachan Kim; Chang-gyun Seo A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks. (1%)Binyan Hu; Yu Sun; A. K. Qin 2022-05-28 Contributor-Aware Defenses Against Adversarial Backdoor Attacks. (98%)Glenn Dawson; Muhammad Umer; Robi Polikar BadDet: Backdoor Attacks on Object Detection. (92%)Shih-Han Chan; Yinpeng Dong; Jun Zhu; Xiaolu Zhang; Jun Zhou Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models. (62%)Md Rafiqul Islam Rabin; Aftab Hussain; Mohammad Amin Alipour 2022-05-27 fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. (96%)Alberto Marchisio; Giovanni Caramia; Maurizio Martina; Muhammad Shafique Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. (95%)Binghui Li; Jikai Jin; Han Zhong; John E. Hopcroft; Liwei Wang Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction. (92%)Ruochen Jiao; Xiangguo Liu; Takami Sato; Qi Alfred Chen; Qi Zhu Defending Against Stealthy Backdoor Attacks. (73%)Sangeet Sagar; Abhinav Bhatt; Abhijith Srinivas Bidaralli EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. (13%)Runlin Lei; Zhen Wang; Yaliang Li; Bolin Ding; Zhewei Wei 2022-05-26 A Physical-World Adversarial Attack Against 3D Face Recognition. (99%)Yanjie Li; Yiquan Li; Bin Xiao Transferable Adversarial Attack based on Integrated Gradients. (99%)Yi Huang; Adams Wai-Kin Kong MALICE: Manipulation Attacks on Learned Image ComprEssion. (99%)Kang Liu; Di Wu; Yiru Wang; Dan Feng; Benjamin Tan; Siddharth Garg Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors. (98%)Avishag Shapira; Alon Zolfi; Luca Demetrio; Battista Biggio; Asaf Shabtai Circumventing Backdoor Defenses That Are Based on Latent Separability. (96%)Xiangyu Qi; Tinghao Xie; Yiming Li; Saeed Mahloujifar; Prateek Mittal An Analytic Framework for Robust Training of Artificial Neural Networks. (93%)Ramin Barati; Reza Safabakhsh; Mohammad Rahmati Adversarial attacks and defenses in Speaker Recognition Systems: A survey. (81%)Jiahe Lan; Rui Zhang; Zheng Yan; Jie Wang; Yu Chen; Ronghui Hou PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations. (81%)Manaar Alam; Esha Sarkar; Michail Maniatakos BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning. (81%)Zhenting Wang; Juan Zhai; Shiqing Ma R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training. (80%)Kento Hasegawa; Seira Hidano; Kohei Nozawa; Shinsaku Kiyomoto; Nozomu Togawa BagFlip: A Certified Defense against Data Poisoning. (75%)Yuhao Zhang; Aws Albarghouthi; Loris D'Antoni Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations. (54%)Xiangyu Qi; Tinghao Xie; Saeed Mahloujifar; Prateek Mittal Membership Inference Attack Using Self Influence Functions. (45%)Gilad Cohen; Raja Giryes 2022-05-25 Surprises in adversarially-trained linear regression. (87%)Antônio H. Ribeiro; Dave Zachariah; Thomas B. Schön Textual Backdoor Attacks with Iterative Trigger Injection. (9%)Jun Yan; Vansh Gupta; Xiang Ren How explainable are adversarially-robust CNNs? (8%)Mehdi Nourelahi; Lars Kotthoff; Peijie Chen; Anh Nguyen 2022-05-24 Defending a Music Recommender Against Hubness-Based Adversarial Attacks. (99%)Katharina Hoedt; Arthur Flexer; Gerhard Widmer Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. (99%)Sizhe Chen; Zhehao Huang; Qinghua Tao; Yingwen Wu; Cihang Xie; Xiaolin Huang Certified Robustness Against Natural Language Attacks by Causal Intervention. (98%)Haiteng Zhao; Chang Ma; Xinshuai Dong; Anh Tuan Luu; Zhi-Hong Deng; Hanwang Zhang One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. (83%)Shutong Wu; Sizhe Chen; Cihang Xie; Xiaolin Huang Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation. (64%)Xiaoguang Li; Neil Zhenqiang Gong; Ninghui Li; Wenhai Sun; Hui Li WeDef: Weakly Supervised Backdoor Defense for Text Classification. (56%)Lesheng Jin; Zihan Wang; Jingbo Shang Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. (50%)Yijun Tian; Chuxu Zhang; Zhichun Guo; Yihong Ma; Ronald Metoyer; Nitesh V. Chawla EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling. (10%)Mitch Hill; Jonathan Mitchell; Chu Chen; Yuan Du; Mubarak Shah; Song-Chun Zhu Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks. (9%)Shijie Zhang; Hongzhi Yin Fast & Furious: Modelling Malware Detection as Evolving Data Streams. (2%)Fabrício Ceschin; Marcus Botacin; Heitor Murilo Gomes; Felipe Pinagé; Luiz S. Oliveira; André Grégio Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. (2%)Tianlong Chen; Zhenyu Zhang; Yihua Zhang; Shiyu Chang; Sijia Liu; Zhangyang Wang CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing. (1%)Zhiwei Hao; Yong Luo; Zhi Wang; Han Hu; Jianping An 2022-05-23 Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization. (98%)Shudong Zhang; Haichang Gao; Tianwei Zhang; Yunyi Zhou; Zihui Wu Learning to Ignore Adversarial Attacks. (95%)Yiming Zhang; Yangqiaoyu Zhou; Samuel Carton; Chenhao Tan Collaborative Adversarial Training. (93%)Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen Towards a Defense against Backdoor Attacks in Continual Federated Learning. (50%)Shuaiqi Wang; Jonathan Hayase; Giulia Fanti; Sewoong Oh Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. (10%)Huarui He; Jie Wang; Zhanqiu Zhang; Feng Wu RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis. (1%)Mohammad Esmaeilpour; Nourhene Chaalia; Adel Abusitta; Francois-Xavier Devailly; Wissem Maazoun; Patrick Cardinal 2022-05-22 AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning. (26%)Michael Villarreal; Bibek Poudel; Ryan Wickman; Yu Shen; Weizi Li Robust Quantity-Aware Aggregation for Federated Learning. (13%)Jingwei Yi; Fangzhao Wu; Huishuai Zhang; Bin Zhu; Tao Qi; Guangzhong Sun; Xing Xie Analysis of functional neural codes of deep learning models. (10%)Jung Hoon Lee; Sujith Vijayan 2022-05-21 Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models. (99%)Shawn Shan; Wenxin Ding; Emily Wenger; Haitao Zheng; Ben Y. Zhao Gradient Concealment: Free Lunch for Defending Adversarial Attacks. (99%)Sen Pei; Jiaxi Sun; Xiaopeng Zhang; Gaofeng Meng Phrase-level Textual Adversarial Attack with Label Preservation. (99%)Yibin Lei; Yu Cao; Dianqi Li; Tianyi Zhou; Meng Fang; Mykola Pechenizkiy On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems. (16%)Soma Kontar; Andras Horvath 2022-05-20 Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness. (99%)Jiankai Jin; Olga Ohrimenko; Benjamin I. P. Rubinstein Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification. (98%)Jungeum Kim; Xiao Wang Adversarial joint attacks on legged robots. (86%)Takuto Otomo; Hiroshi Kera; Kazuhiko Kawamoto Towards Consistency in Adversarial Classification. (82%)Laurent Meunier; Raphaël Ettedgui; Rafael Pinot; Yann Chevaleyre; Jamal Atif Adversarial Body Shape Search for Legged Robots. (80%)Takaaki Azakami; Hiroshi Kera; Kazuhiko Kawamoto SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. (64%)Harsh Chaudhari; Matthew Jagielski; Alina Oprea The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. (11%)Lukas S. Huber; Robert Geirhos; Felix A. Wichmann Vulnerability Analysis and Performance Enhancement of Authentication Protocol in Dynamic Wireless Power Transfer Systems. (10%)Tommaso Bianchi; Surudhi Asokraj; Alessandro Brighente; Mauro Conti; Radha Poovendran Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. (4%)Ser Javier Del; Alejandro Barredo-Arrieta; Natalia Díaz-Rodríguez; Francisco Herrera; Andreas Holzinger 2022-05-19 Focused Adversarial Attacks. (99%)Thomas Cilloni; Charles Walter; Charles Fleming Transferable Physical Attack against Object Detection with Separable Attention. (99%)Yu Zhang; Zhiqiang Gong; Yichuang Zhang; YongQian Li; Kangcheng Bin; Jiahao Qi; Wei Xue; Ping Zhong Enhancing the Transferability of Adversarial Examples via a Few Queries. (99%)Xiangyuan Yang; Jie Lin; Hanlin Zhang; Xinyu Yang; Peng Zhao On Trace of PGD-Like Adversarial Attacks. (99%)Mo Zhou; Vishal M. Patel Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. (98%)Leo Schwinn; Leon Bungert; An Nguyen; René Raab; Falk Pulsmeyer; Doina Precup; Björn Eskofier; Dario Zanca Defending Against Adversarial Attacks by Energy Storage Facility. (96%)Jiawei Li; Jianxiao Wang; Lin Chen; Yang Yu Sparse Adversarial Attack in Multi-agent Reinforcement Learning. (82%)Yizheng Hu; Zhihua Zhang Data Valuation for Offline Reinforcement Learning. (1%)Amir Abolfazli; Gregory Palmer; Daniel Kudenko 2022-05-18 Passive Defense Against 3D Adversarial Point Clouds Through the Lens of 3D Steganalysis. (99%)Jiahao Zhu Property Unlearning: A Defense Strategy Against Property Inference Attacks. (84%)Joshua Universität Hamburg Stock; Jens Universität Hamburg Wettlaufer; Daniel Universität Hamburg Demmler; Hannes Universität Hamburg Federrath Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution. (56%)Zhixin Pan; Prabhat Mishra Empirical Advocacy of Bio-inspired Models for Robust Image Recognition. (38%)Harshitha Machiraju; Oh-Hyeon Choung; Michael H. Herzog; Pascal Frossard Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing. (1%)Ryan Feng; Somesh Jha; Atul Prakash Mitigating Neural Network Overconfidence with Logit Normalization. (1%)Hongxin Wei; Renchunzi Xie; Hao Cheng; Lei Feng; Bo An; Yixuan Li 2022-05-17 Hierarchical Distribution-Aware Testing of Deep Learning. (98%)Wei Huang; Xingyu Zhao; Alec Banks; Victoria Cox; Xiaowei Huang Bankrupting DoS Attackers Despite Uncertainty. (12%)Trisha Chakraborty; Abir Islam; Valerie King; Daniel Rayborn; Jared Saia; Maxwell Young A two-steps approach to improve the performance of Android malware detectors. (10%)Nadia Daoudi; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. (2%)Jinwei Xing; Takashi Nagata; Xinyun Zou; Emre Neftci; Jeffrey L. Krichmar Recovering Private Text in Federated Learning of Language Models. (2%)Samyak Gupta; Yangsibo Huang; Zexuan Zhong; Tianyu Gao; Kai Li; Danqi Chen Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training. (1%)Qingyu Li; Yilei Shi; Xiao Xiang Zhu 2022-05-16 Attacking and Defending Deep Reinforcement Learning Policies. (99%)Chao Wang Diffusion Models for Adversarial Purification. (99%)Weili Nie; Brandon Guo; Yujia Huang; Chaowei Xiao; Arash Vahdat; Anima Anandkumar Robust Representation via Dynamic Feature Aggregation. (84%)Haozhe Liu; Haoqin Ji; Yuexiang Li; Nanjun He; Haoqian Wu; Feng Liu; Linlin Shen; Yefeng Zheng Sparse Visual Counterfactual Explanations in Image Space. (83%)Valentyn Boreiko; Maximilian Augustin; Francesco Croce; Philipp Berens; Matthias Hein On the Difficulty of Defending Self-Supervised Learning against Model Extraction. (67%)Adam Dziedzic; Nikita Dhawan; Muhammad Ahmad Kaleem; Jonas Guan; Nicolas Papernot Transferability of Adversarial Attacks on Synthetic Speech Detection. (47%)Jiacheng Deng; Shunyi Chen; Li Dong; Diqun Yan; Rangding Wang 2022-05-15 Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks. (99%)Siddhartha Datta Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection. (64%)Fan Wang; Adams Wai-Kin Kong RoMFAC: A Robust Mean-Field Actor-Critic Reinforcement Learning against Adversarial Perturbations on States. (38%)Ziyuan Zhou; Guanjun Liu Automation Slicing and Testing for in-App Deep Learning Models. (1%)Hao Wu; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Minghao Li; Fengyuan Xu; Yunxin Liu; Sheng Zhong 2022-05-14 Evaluating Membership Inference Through Adversarial Robustness. (98%)Zhaoxi Zhang; Leo Yu Zhang; Xufei Zheng; Bilal Hussain Abbasi; Shengshan Hu Verifying Neural Networks Against Backdoor Attacks. (2%)Long H. Pham; Jun Sun 2022-05-13 Universal Post-Training Backdoor Detection. (98%)Hang Wang; Zhen Xiang; David J. Miller; George Kesidis l-Leaks: Membership Inference Attacks with Logits. (41%)Shuhao Li; Yajie Wang; Yuanzhang Li; Yu-an Tan DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. (26%)Yongjie Wang; Hangwei Qian; Chunyan Miao Millimeter-Wave Automotive Radar Spoofing. (2%)Mihai Ordean; Flavio D. Garcia 2022-05-12 Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks. (75%)Pascale Gourdeau; Varun Kanade; Marta Kwiatkowska; James Worrell PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. (61%)Hongbin Liu; Jinyuan Jia; Neil Zhenqiang Gong How to Combine Membership-Inference Attacks on Multiple Updated Models. (11%)Matthew Jagielski; Stanley Wu; Alina Oprea; Jonathan Ullman; Roxana Geambasu Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World. (4%)Xiaopei Zhu; Zhanhao Hu; Siyuan Huang; Jianmin Li; Xiaolin Hu Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. (2%)Ameya Joshi; Minh Pham; Minsu Cho; Leonid Boytsov; Filipe Condessa; J. Zico Kolter; Chinmay Hegde Stalloris: RPKI Downgrade Attack. (1%)Tomas Hlavacek; Philipp Jeitner; Donika Mirdita; Haya Shulman; Michael Waidner 2022-05-11 Injection Attacks Reloaded: Tunnelling Malicious Payloads over DNS. (1%)Philipp Jeitner; Haya Shulman The Hijackers Guide To The Galaxy: Off-Path Taking Over Internet Resources. (1%)Tianxiang Dai; Philipp Jeitner; Haya Shulman; Michael Waidner A Longitudinal Study of Cryptographic API: a Decade of Android Malware. (1%)Adam Janovsky; Davide Maiorca; Dominik Macko; Vashek Matyas; Giorgio Giacinto 2022-05-10 Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training. (1%)Cheng Xue; Lequan Yu; Pengfei Chen; Qi Dou; Pheng-Ann Heng White-box Testing of NLP models with Mask Neuron Coverage. (1%)Arshdeep Sekhon; Yangfeng Ji; Matthew B. Dwyer; Yanjun Qi 2022-05-09 Btech thesis report on adversarial attack detection and purification of adverserially attacked images. (99%)Dvij Kalaria Using Frequency Attention to Make Adversarial Patch Powerful Against Person Detector. (98%)Xiaochun Lei; Chang Lu; Zetao Jiang; Zhaoting Gong; Xiang Cai; Linjun Lu Do You Think You Can Hold Me? The Real Challenge of Problem-Space Evasion Attacks. (97%)Harel Berger; Amit Dvir; Chen Hajaj; Rony Ronen Model-Contrastive Learning for Backdoor Defense. (87%)Zhihao Yue; Jun Xia; Zhiwei Ling; Ming Hu; Ting Wang; Xian Wei; Mingsong Chen How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? (61%)Alvin Chan; Yew-Soon Ong; Clement Tan Federated Multi-Armed Bandits Under Byzantine Attacks. (2%)Ilker Demirel; Yigit Yildirim; Cem Tekin Verifying Integrity of Deep Ensemble Models by Lossless Black-box Watermarking with Sensitive Samples. (2%)Lina Lin; Hanzhou Wu 2022-05-08 Fingerprint Template Invertibility: Minutiae vs. Deep Templates. (68%)Kanishka P. Wijewardena; Steven A. Grosz; Kai Cao; Anil K. Jain ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. (22%)Jingtao Li; Adnan Siraj Rakin; Xing Chen; Zhezhi He; Deliang Fan; Chaitali Chakrabarti VPN: Verification of Poisoning in Neural Networks. (9%)Youcheng Sun; Muhammad Usman; Divya Gopinath; Corina S. Păsăreanu FOLPETTI: A Novel Multi-Armed Bandit Smart Attack for Wireless Networks. (4%)Emilie Bout; Alessandro Brighente; Mauro Conti; Valeria Loscri PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift. (1%)Siyang Jiang; Wei Ding; Hsi-Wen Chen; Ming-Syan Chen 2022-05-07 A Simple Yet Efficient Method for Adversarial Word-Substitute Attack. (99%)Tianle Li; Yi Yang Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. (92%)Binghui Wang; Youqi Li; Pan Zhou 2022-05-06 Imperceptible Backdoor Attack: From Input Space to Feature Representation. (68%)Nan Zhong; Zhenxing Qian; Xinpeng Zhang Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data. (26%)Joceline Ziegler; Bjarne Pfitzner; Heinrich Schulz; Axel Saalbach; Bert Arnrich Unlimited Lives: Secure In-Process Rollback with Isolated Domains. (1%)Merve Turhan; Thomas Nyman; Christoph Baumann; Jan Tobias Mühlberg LPGNet: Link Private Graph Networks for Node Classification. (1%)Aashish Kolluri; Teodora Baluta; Bryan Hooi; Prateek Saxena 2022-05-05 Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. (99%)Gaurav Kumar Nayak; Ruchit Rawal; Rohit Lal; Himanshu Patil; Anirban Chakraborty Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. (78%)Dávid Szeghy; Mahmoud Aslan; Áron Fóthi; Balázs Mészáros; Zoltán Ádám Milacski; András Lőrincz Can collaborative learning be private, robust and scalable? (61%)Dmitrii Usynin; Helena Klause; Daniel Rueckert; Georgios Kaissis Large Scale Transfer Learning for Differentially Private Image Classification. (2%)Harsh Mehta; Abhradeep Thakurta; Alexey Kurakin; Ashok Cutkosky Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity. (1%)Mohammadreza Ebrahimi; Yidong Chai; Hao Helen Zhang; Hsinchun Chen Are GAN-based Morphs Threatening Face Recognition? (1%)Eklavya Sarkar; Pavel Korshunov; Laurent Colbois; Sébastien Marcel 2022-05-04 Based-CE white-box adversarial attack will not work using super-fitting. (99%)Youhuan Yang; Lei Sun; Leyu Dai; Song Guo; Xiuqing Mao; Xiaoqin Wang; Bayi Xu Rethinking Classifier And Adversarial Attack. (98%)Youhuan Yang; Lei Sun; Leyu Dai; Song Guo; Xiuqing Mao; Xiaoqin Wang; Bayi Xu Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. (98%)Antonio Emanuele Cinà; Kathrin Grosse; Ambra Demontis; Sebastiano Vascon; Werner Zellinger; Bernhard A. Moser; Alina Oprea; Battista Biggio; Marcello Pelillo; Fabio Roli Robust Conversational Agents against Imperceptible Toxicity Triggers. (92%)Ninareh Mehrabi; Ahmad Beirami; Fred Morstatter; Aram Galstyan Subverting Fair Image Search with Generative Adversarial Perturbations. (83%)Avijit Ghosh; Matthew Jagielski; Christo Wilson 2022-05-03 Adversarial Training for High-Stakes Reliability. (98%)Daniel M. Ziegler; Seraphina Nix; Lawrence Chan; Tim Bauman; Peter Schmidt-Nielsen; Tao Lin; Adam Scherlis; Noa Nabeshima; Ben Weinstein-Raun; Haas Daniel de; Buck Shlegeris; Nate Thomas Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. (96%)Jonathan Rusert; Padmini Srinivasan On the uncertainty principle of neural networks. (3%)Jun-Jie Zhang; Dong-Xiao Zhang; Jian-Nan Chen; Long-Gang Pang Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. (1%)Kunal Pattanayak; Vikram Krishnamurthy; Christopher Berry 2022-05-02 SemAttack: Natural Textual Attacks via Different Semantic Spaces. (96%)Boxin Wang; Chejian Xu; Xiangyu Liu; Yu Cheng; Bo Li Deep-Attack over the Deep Reinforcement Learning. (93%)Yang Li; Quan Pan; Erik Cambria Enhancing Adversarial Training with Feature Separability. (92%)Yaxin Li; Xiaorui Liu; Han Xu; Wentao Wang; Jiliang Tang BERTops: Studying BERT Representations under a Topological Lens. (92%)Jatin Chauhan; Manohar Kaul MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. (83%)Shoukun Sun; Min Xian; Aleksandar Vakanski; Hossny Ghanem Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters. (1%)Ole Christian Eidheim 2022-05-01 A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. (98%)Yong Xie; Dakuo Wang; Pin-Yu Chen; Jinjun Xiong; Sijia Liu; Sanmi Koyejo DDDM: a Brain-Inspired Framework for Robust Classification. (76%)Xiyuan Chen; Xingyu Li; Yi Zhou; Tianming Yang Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. (9%)Shoujie Tong; Qingxiu Dong; Damai Dai; Yifan song; Tianyu Liu; Baobao Chang; Zhifang Sui A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. (3%)Jeremiah Zhe Liu; Shreyas Padhy; Jie Ren; Zi Lin; Yeming Wen; Ghassen Jerfel; Zack Nado; Jasper Snoek; Dustin Tran; Balaji Lakshminarayanan Adversarial Plannning. (2%)Valentin Vie; Ryan Sheatsley; Sophia Beyda; Sushrut Shringarputale; Kevin Chan; Trent Jaeger; Patrick McDaniel 2022-04-30 Optimizing One-pixel Black-box Adversarial Attacks. (82%)Tianxun Zhou; Shubhankar Agrawal; Prateek Manocha Cracking White-box DNN Watermarks via Invariant Neuron Transforms. (26%)Yifan Yan; Xudong Pan; Yining Wang; Mi Zhang; Min Yang Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees. (1%)Jonathan Brophy; Zayd Hammoudeh; Daniel Lowd Loss Function Entropy Regularization for Diverse Decision Boundaries. (1%)Chong Sue Sin 2022-04-29 Adversarial attacks on an optical neural network. (92%)Shuming Jiao; Ziwei Song; Shuiying Xiang Logically Consistent Adversarial Attacks for Soft Theorem Provers. (2%)Alexander Gaskell; Yishu Miao; Lucia Specia; Francesca Toni Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. (1%)Heng Zhu; Qing Ling 2022-04-28 Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations. (99%)Na Liu; Mark Dras; Wei Emma Zhang Formulating Robustness Against Unforeseen Attacks. (99%)Sihui Dai; Saeed Mahloujifar; Prateek Mittal Randomized Smoothing under Attack: How Good is it in Pratice? (84%)Thibault Maho; Teddy Furon; Erwan Le Merrer Improving robustness of language models from a geometry-aware perspective. (68%)Bin Zhu; Zhaoquan Gu; Le Wang; Jinyin Chen; Qi Xuan Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. (50%)Luiz H. Buris; Daniel C. G. Pedronette; Joao P. Papa; Jurandy Almeida; Gustavo Carneiro; Fabio A. Faria AGIC: Approximate Gradient Inversion Attack on Federated Learning. (16%)Jin Xu; Chi Hong; Jiyue Huang; Lydia Y. Chen; Jérémie Decouchant An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks. (1%)Hiba Tabbaa; Samir Ifzarne; Imad Hafidi 2022-04-27 Adversarial Fine-tune with Dynamically Regulated Adversary. (99%)Pengyue Hou; Ming Zhou; Jie Han; Petr Musilek; Xingyu Li Defending Against Person Hiding Adversarial Patch Attack with a Universal White Frame. (98%)Youngjoon Yu; Hong Joo Lee; Hakmin Lee; Yong Man Ro An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework. (81%)Ehsan Nowroozi; Abhishek; Mohammadreza Mohammadi; Mauro Conti 2022-04-26 Boosting Adversarial Transferability of MLP-Mixer. (99%)Haoran Lyu; Yajie Wang; Yu-an Tan; Huipeng Zhou; Yuhang Zhao; Quanxin Zhang Restricted Black-box Adversarial Attack Against DeepFake Face Swapping. (99%)Junhao Dong; Yuan Wang; Jianhuang Lai; Xiaohua Xie Improving the Transferability of Adversarial Examples with Restructure Embedded Patches. (99%)Huipeng Zhou; Yu-an Tan; Yajie Wang; Haoran Lyu; Shangbo Wu; Yuanzhang Li On Fragile Features and Batch Normalization in Adversarial Training. (97%)Nils Philipp Walter; David Stutz; Bernt Schiele Mixed Strategies for Security Games with General Defending Requirements. (75%)Rufan Bai; Haoxing Lin; Xinyu Yang; Xiaowei Wu; Minming Li; Weijia Jia Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios. (26%)Dazhong Rong; Qinming He; Jianhai Chen Designing Perceptual Puzzles by Differentiating Probabilistic Programs. (13%)Kartik Chandra; Tzu-Mao Li; Joshua Tenenbaum; Jonathan Ragan-Kelley Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies. (8%)Shaltiel Eloul; Fran Silavong; Sanket Kamthe; Antonios Georgiadis; Sean J. Moran Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks. (4%)Jens Henriksson; Christian Berger; Markus Borg; Lars Tornberg; Sankar Raman Sathyamoorthy; Cristofer Englund 2022-04-25 Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks. (99%)Jiawei Zhang; Jinwei Wang; Hao Wang; Xiangyang Luo When adversarial examples are excusable. (89%)Pieter-Jan Kindermans; Charles Staats A Simple Structure For Building A Robust Model. (81%)Xiao Tan; JingBo Gao; Ruolin Li Real or Virtual: A Video Conferencing Background Manipulation-Detection System. (67%)Ehsan Nowroozi; Yassine Mekdad; Mauro Conti; Simone Milani; Selcuk Uluagac; Berrin Yanikoglu Can Rationalization Improve Robustness? (12%)Howard Chen; Jacqueline He; Karthik Narasimhan; Danqi Chen PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings. (1%)Moustafa Alzantot; Luis Garcia; Mani Srivastava VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. (1%)Minghui Chen; Cheng Wen; Feng Zheng; Fengxiang He; Ling Shao Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. (1%)Han Cai; Ji Lin; Yujun Lin; Zhijian Liu; Haotian Tang; Hanrui Wang; Ligeng Zhu; Song Han 2022-04-24 A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles. (99%)Zadid Khan; Mashrur Chowdhury; Sakib Mahmud Khan Improving Deep Learning Model Robustness Against Adversarial Attack by Increasing the Network Capacity. (81%)Marco Marchetti; Edmond S. L. Ho 2022-04-23 Smart App Attack: Hacking Deep Learning Models in Android Apps. (98%)Yujin Huang; Chunyang Chen Towards Data-Free Model Stealing in a Hard Label Setting. (13%)Sunandini Sanyal; Sravanti Addepalli; R. Venkatesh Babu Reinforced Causal Explainer for Graph Neural Networks. (1%)Xiang Wang; Yingxin Wu; An Zhang; Fuli Feng; Xiangnan He; Tat-Seng Chua 2022-04-22 How Sampling Impacts the Robustness of Stochastic Neural Networks. (98%)Sina Däubener; Asja Fischer A Tale of Two Models: Constructing Evasive Attacks on Edge Models. (83%)Wei Hao; Aahil Awatramani; Jiayang Hu; Chengzhi Mao; Pin-Chun Chen; Eyal Cidon; Asaf Cidon; Junfeng Yang Enhancing the Transferability via Feature-Momentum Adversarial Attack. (82%)Xianglong; Yuezun Li; Haipeng Qu; Junyu Dong Data-Efficient Backdoor Attacks. (76%)Pengfei Xia; Ziqiang Li; Wei Zhang; Bin Li 2022-04-21 A Mask-Based Adversarial Defense Scheme. (99%)Weizhen Xu; Chenyi Zhang; Fangzhen Zhao; Liangda Fang Is Neuron Coverage Needed to Make Person Detection More Robust? (98%)Svetlana Pavlitskaya; Şiyar Yıkmış; J. Marius Zöllner Robustness of Machine Learning Models Beyond Adversarial Attacks. (98%)Sebastian Scher; Andreas Trügler Adversarial Contrastive Learning by Permuting Cluster Assignments. (15%)Muntasir Wahed; Afrina Tabassum; Ismini Lourentzou Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation. (4%)Jun Xia; Ting Wang; Jiepin Ding; Xian Wei; Mingsong Chen Detecting Topology Attacks against Graph Neural Networks. (1%)Senrong Xu; Yuan Yao; Liangyue Li; Wei Yang; Feng Xu; Hanghang Tong 2022-04-20 GUARD: Graph Universal Adversarial Defense. (99%)Jintang Li; Jie Liao; Ruofan Wu; Liang Chen; Jiawang Dan; Changhua Meng; Zibin Zheng; Weiqiang Wang Adversarial Scratches: Deployable Attacks to CNN Classifiers. (99%)Loris Giulivi; Malhar Jere; Loris Rossi; Farinaz Koushanfar; Gabriela Ciocarlie; Briland Hitaj; Giacomo Boracchi Fast AdvProp. (98%)Jieru Mei; Yucheng Han; Yutong Bai; Yixiao Zhang; Yingwei Li; Xianhang Li; Alan Yuille; Cihang Xie Case-Aware Adversarial Training. (98%)Mingyuan Fan; Yang Liu; Wenzhong Guo; Ximeng Liu; Jianhua Li Improved Worst-Group Robustness via Classifier Retraining on Independent Splits. (1%)Thien Hang Nguyen; Hongyang R. Zhang; Huy Le Nguyen 2022-04-19 Jacobian Ensembles Improve Robustness Trade-offs to Adversarial Attacks. (99%)Kenneth T. Co; David Martinez-Rego; Zhongyuan Hau; Emil C. Lupu Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems. (86%)Xugui Zhou; Maxfield Kouzel; Homa Alemzadeh Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation. (83%)Siyu Lai; Zhen Yang; Fandong Meng; Xue Zhang; Yufeng Chen; Jinan Xu; Jie Zhou 2022-04-18 UNBUS: Uncertainty-aware Deep Botnet Detection System in Presence of Perturbed Samples. (99%)Rahim Taheri CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. (99%)Xunguang Wang; Yinqun Lin; Xiaomeng Li Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge. (99%)Qun Song; Zhenyu Yan; Wenjie Luo; Rui Tan Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors. (98%)Nyee Thoang Lim; Meng Yi Kuan; Muxin Pu; Mei Kuan Lim; Chun Yong Chong A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. (75%)Enyan Dai; Tianxiang Zhao; Huaisheng Zhu; Junjie Xu; Zhimeng Guo; Hui Liu; Jiliang Tang; Suhang Wang CorrGAN: Input Transformation Technique Against Natural Corruptions. (70%)Mirazul Haque; Christof J. Budnik; Wei Yang Poisons that are learned faster are more effective. (64%)Pedro Sandoval-Segura; Vasu Singla; Liam Fowl; Jonas Geiping; Micah Goldblum; David Jacobs; Tom Goldstein 2022-04-17 Residue-Based Natural Language Adversarial Attack Detection. (99%)Vyas Raina; Mark Gales Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning. (95%)Jun Guo; Yonghong Chen; Yihang Hao; Zixin Yin; Yin Yu; Simin Li 2022-04-16 SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment. (95%)Marjan Golmaryami; Rahim Taheri; Zahra Pooranian; Mohammad Shojafar; Pei Xiao Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. (67%)Febrianti Wibawa; Ferhat Ozgur Catak; Salih Sarp; Murat Kuzlu; Umit Cali 2022-04-15 Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. (92%)Mathias Lechner; Alexander Amini; Daniela Rus; Thomas A. Henzinger 2022-04-14 From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks. (99%)Mohammad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich Planting Undetectable Backdoors in Machine Learning Models. (99%)Shafi Goldwasser; Michael P. Kim; Vinod Vaikuntanathan; Or Zamir Q-TART: Quickly Training for Adversarial Robustness and in-Transferability. (50%)Madan Ravi Ganesh; Salimeh Yasaei Sekeh; Jason J. Corso Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification. (41%)Jordan J. Bird 2022-04-13 Task-Driven Data Augmentation for Vision-Based Robotic Control. (96%)Shubhankar Agarwal; Sandeep P. Chinchali Stealing Malware Classifiers and AVs at Low False Positive Conditions. (82%)Maria Rigaki; Sebastian Garcia Defensive Patches for Robust Recognition in the Physical World. (80%)Jiakai Wang; Zixin Yin; Pengfei Hu; Aishan Liu; Renshuai Tao; Haotong Qin; Xianglong Liu; Dacheng Tao A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. (78%)Pervaiz Iqbal Khan; Imran Razzak; Andreas Dengel; Sheraz Ahmed Overparameterized Linear Regression under Adversarial Attacks. (76%)Antônio H. Ribeiro; Thomas B. Schön Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures. (38%)Huming Qiu; Hua Ma; Zhi Zhang; Alsharif Abuadbba; Wei Kang; Anmin Fu; Yansong Gao A Natural Language Processing Approach for Instruction Set Architecture Identification. (1%)Dinuka Sahabandu; Sukarno Mertoguno; Radha Poovendran 2022-04-12 Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS. (99%)Ke He; Dan Dongseong Kim; Jing Sun; Jeong Do Yoo; Young Hun Lee; Huy Kang Kim Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks. (98%)Štefan Pócoš; Iveta Bečková; Igor Farkaš Toward Robust Spiking Neural Network Against Adversarial Perturbation. (98%)Ling Liang; Kaidi Xu; Xing Hu; Lei Deng; Yuan Xie Machine Learning Security against Data Poisoning: Are We There Yet? (92%)Antonio Emanuele Cinà; Kathrin Grosse; Ambra Demontis; Battista Biggio; Fabio Roli; Marcello Pelillo Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. (11%)Saeed Mahloujifar; Alexandre Sablayrolles; Graham Cormode; Somesh Jha 3DeformRS: Certifying Spatial Deformations on Point Clouds. (9%)Gabriel Pérez S.; Juan C. Pérez; Motasem Alfarra; Silvio Giancola; Bernard Ghanem 2022-04-11 A Simple Approach to Adversarial Robustness in Few-shot Image Classification. (98%)Akshayvarun Subramanya; Hamed Pirsiavash Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. (92%)Yi Zeng; Minzhou Pan; Hoang Anh Just; Lingjuan Lyu; Meikang Qiu; Ruoxi Jia Generalizing Adversarial Explanations with Grad-CAM. (84%)Tanmay Chakraborty; Utkarsh Trehan; Khawla Mallat; Jean-Luc Dugelay Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. (83%)Jungbeom Lee; Eunji Kim; Jisoo Mok; Sungroh Yoon Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. (47%)Lei Xu; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Zhiyuan Liu medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. (1%)Amil Dravid; Florian Schiffers; Boqing Gong; Aggelos K. Katsaggelos 2022-04-10 "That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks. (88%)Edoardo Mosca; Shreyash Agarwal; Javier Rando-Ramirez; Georg Groh Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks. (54%)Karthikeyan Nagarajan; Junde Li; Sina Sayyah Ensan; Mohammad Nasim Imtiaz Khan; Sachhidh Kannan; Swaroop Ghosh Measuring the False Sense of Security. (26%)Carlos Gomes 2022-04-08 Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser. (99%)Sonal Joshi; Saurabh Kataria; Yiwen Shao; Piotr Zelasko; Jesus Villalba; Sanjeev Khudanpur; Najim Dehak AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification. (99%)Sonal Joshi; Saurabh Kataria; Jesus Villalba; Najim Dehak Evaluating the Adversarial Robustness for Fourier Neural Operators. (92%)Abolaji D. Adesoji; Pin-Yu Chen Backdoor Attack against NLP models with Robustness-Aware Perturbation defense. (87%)Shaik Mohammed Maqsood; Viveros Manuela Ceron; Addluri GowthamKrishna An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks. (45%)Xinqiao Zhang; Huili Chen; Ke Huang; Farinaz Koushanfar Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. (13%)Qiang Hu; Yuejun Guo; Maxime Cordy; Xiaofei Xie; Wei Ma; Mike Papadakis; Yves Le Traon Neural Tangent Generalization Attacks. (12%)Chia-Hung Yuan; Shan-Hung Wu Labeling-Free Comparison Testing of Deep Learning Models. (11%)Yuejun Guo; Qiang Hu; Maxime Cordy; Xiaofei Xie; Mike Papadakis; Yves Le Traon Does Robustness on ImageNet Transfer to Downstream Tasks? (2%)Yutaro Yamada; Mayu Otani The self-learning AI controller for adaptive power beaming with fiber-array laser transmitter system. (1%)A. M. Vorontsov; G. A. Filimonov 2022-04-07 Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. (99%)Yuhao Mao; Chong Fu; Saizhuo Wang; Shouling Ji; Xuhong Zhang; Zhenguang Liu; Jun Zhou; Alex X. Liu; Raheem Beyah; Ting Wang Adaptive-Gravity: A Defense Against Adversarial Samples. (99%)Ali Mirzaeian; Zhi Tian; Sai Manoj P D; Banafsheh S. Latibari; Ioannis Savidis; Houman Homayoun; Avesta Sasan Using Multiple Self-Supervised Tasks Improves Model Robustness. (81%)Matthew Lawhon; Chengzhi Mao; Junfeng Yang Transformer-Based Language Models for Software Vulnerability Detection: Performance, Model's Security and Platforms. (69%)Chandra Thapa; Seung Ick Jang; Muhammad Ejaz Ahmed; Seyit Camtepe; Josef Pieprzyk; Surya Nepal Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation. (1%)Diksha Goel; Max Hector Ward-Graham; Aneta Neumann; Frank Neumann; Hung Nguyen; Mingyu Guo 2022-04-06 Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks. (99%)Xu Han; Anmin Liu; Yifeng Xiong; Yanbo Fan; Kun He Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network. (95%)Byung-Kwan Lee; Junho Kim; Yong Man Ro Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck. (93%)Junho Kim; Byung-Kwan Lee; Yong Man Ro Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines. (68%)Wen Su; Qingna Li; Chunfeng Cui Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. (62%)Furkan Mumcu; Keval Doshi; Yasin Yilmaz Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures. (4%)Md Tamjid Jim Hossain; Shahriar Jim Badsha; Jim Hung; La; Haoting Shen; Shafkat Islam; Ibrahim Khalil; Xun Yi 2022-04-05 Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. (98%)Nilaksh Das; Duen Horng Chau Adversarial Robustness through the Lens of Convolutional Filters. (87%)Paul Gavrikov; Janis Keuper User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning. (2%)Tiantian Feng; Raghuveer Peri; Shrikanth Narayanan SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. (1%)Vipul Gupta; Zhuowan Li; Adam Kortylewski; Chenyu Zhang; Yingwei Li; Alan Yuille GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning. (1%)Jinyin Chen; Shulong Hu; Haibin Zheng; Changyou Xing; Guomin Zhang 2022-04-04 RobustSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition. (99%)Jianfei Yang; Han Zou; Lihua Xie DAD: Data-free Adversarial Defense at Test Time. (99%)Gaurav Kumar Nayak; Ruchit Rawal; Anirban Chakraborty Experimental quantum adversarial learning with programmable superconducting qubits. (99%)Wenhui Ren; Weikang Li; Shibo Xu; Ke Wang; Wenjie Jiang; Feitong Jin; Xuhao Zhu; Jiachen Chen; Zixuan Song; Pengfei Zhang; Hang Dong; Xu Zhang; Jinfeng Deng; Yu Gao; Chuanyu Zhang; Yaozu Wu; Bing Zhang; Qiujiang Guo; Hekang Li; Zhen Wang; Jacob Biamonte; Chao Song; Dong-Ling Deng; H. Wang PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. (99%)Chen Wu; Ruqing Zhang; Jiafeng Guo; Rijke Maarten de; Yixing Fan; Xueqi Cheng FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. (98%)Paarth Neekhara; Shehzeen Hussain; Xinqiao Zhang; Ke Huang; Julian McAuley; Farinaz Koushanfar 2022-04-03 Breaking the De-Pois Poisoning Defense. (98%)Alaa Anani; Mohamed Ghanem; Lotfy Abdel Khaliq Adversarially robust segmentation models learn perceptually-aligned gradients. (16%)Pedro Sandoval-Segura Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders. (1%)Thien-Nu Hoang; Daehee Kim Improving Vision Transformers by Revisiting High-frequency Components. (1%)Jiawang Bai; Li Yuan; Shu-Tao Xia; Shuicheng Yan; Zhifeng Li; Wei Liu 2022-04-02 Adversarial Neon Beam: Robust Physical-World Adversarial Attack to DNNs. (98%)Chengyin Hu; Kalibinuer Tiliwalidi DST: Dynamic Substitute Training for Data-free Black-box Attack. (98%)Wenxuan Wang; Xuelin Qian; Yanwei Fu; Xiangyang Xue 2022-04-01 SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning. (47%)Nilaksh Das; Sheng-Yun Peng; Duen Horng Chau Robust and Accurate -- Compositional Architectures for Randomized Smoothing. (31%)Miklós Z. Horváth; Mark Niklas Müller; Marc Fischer; Martin Vechev FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting. (16%)Julia Grabinski; Steffen Jung; Janis Keuper; Margret Keuper Preventing Distillation-based Attacks on Neural Network IP. (2%)Mahdieh Grailoo; Zain Ul Abideen; Mairo Leier; Samuel Pagliarini FedRecAttack: Model Poisoning Attack to Federated Recommendation. (1%)Dazhong Rong; Shuai Ye; Ruoyan Zhao; Hon Ning Yuen; Jianhai Chen; Qinming He 2022-03-31 Improving Adversarial Transferability via Neuron Attribution-Based Attacks. (99%)Jianping Zhang; Weibin Wu; Jen-tse Huang; Yizhan Huang; Wenxuan Wang; Yuxin Su; Michael R. Lyu Adversarial Examples in Random Neural Networks with General Activations. (98%)Andrea Montanari; Yuchen Wu Scalable Whitebox Attacks on Tree-based Models. (96%)Giuseppe Castiglione; Gavin Ding; Masoud Hashemi; Christopher Srinivasa; Ga Wu Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond. (86%)Yi Yu; Wenhan Yang; Yap-Peng Tan; Alex C. Kot Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets. (81%)Florian Tramèr; Reza Shokri; Ayrton San Joaquin; Hoang Le; Matthew Jagielski; Sanghyun Hong; Nicholas Carlini 2022-03-30 Investigating Top-$k$ White-Box and Transferable Black-box Attack. (87%)Chaoning Zhang; Philipp Benz; Adil Karjauv; Jae Won Cho; Kang Zhang; In So Kweon Sensor Data Validation and Driving Safety in Autonomous Driving Systems. (83%)Jindi Zhang Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis. (56%)Yi Chang; Zhao Ren; Thanh Tam Nguyen; Wolfgang Nejdl; Björn W. Schuller 2022-03-29 Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems. (99%)Nicholas Mehlman; Anirudh Sreeram; Raghuveer Peri; Shrikanth Narayanan Zero-Query Transfer Attacks on Context-Aware Object Detectors. (99%)Zikui Cai; Shantanu Rane; Alejandro E. Brito; Chengyu Song; Srikanth V. Krishnamurthy; Amit K. Roy-Chowdhury; M. Salman Asif Exploring Frequency Adversarial Attacks for Face Forgery Detection. (99%)Shuai Jia; Chao Ma; Taiping Yao; Bangjie Yin; Shouhong Ding; Xiaokang Yang StyleFool: Fooling Video Classification Systems via Style Transfer. (99%)Yuxin Cao; Xi Xiao; Ruoxi Sun; Derui Wang; Minhui Xue; Sheng Wen Recent improvements of ASR models in the face of adversarial attacks. (98%)Raphael Olivier; Bhiksha Raj Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. (83%)Kaidong Li; Ziming Zhang; Cuncong Zhong; Guanghui Wang Treatment Learning Transformer for Noisy Image Classification. (26%)Chao-Han Huck Yang; I-Te Danny Hung; Yi-Chieh Liu; Pin-Yu Chen Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation. (11%)Pietro Liguori; Cristina Improta; Vivo Simona De; Roberto Natella; Bojan Cukic; Domenico Cotroneo 2022-03-28 Boosting Black-Box Adversarial Attacks with Meta Learning. (99%)Junjie the State Key Lab of Intelligent Control and Decision of Complex Systems and the School of Automation, Beijing Institute of Technology, Beijing, China Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China Fu; Jian the State Key Lab of Intelligent Control and Decision of Complex Systems and the School of Automation, Beijing Institute of Technology, Beijing, China Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China Sun; Gang the State Key Lab of Intelligent Control and Decision of Complex Systems and the School of Automation, Beijing Institute of Technology, Beijing, China Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China Wang A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness. (62%)Souvik Kundu; Sairam Sundaresan; Massoud Pedram; Peter A. Beerel Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. (16%)Shaopeng Fu; Fengxiang He; Yang Liu; Li Shen; Dacheng Tao Neurosymbolic hybrid approach to driver collision warning. (15%)Kyongsik Yun; Thomas Lu; Alexander Huyen; Patrick Hammer; Pei Wang Attacker Attribution of Audio Deepfakes. (1%)Nicolas M. Müller; Franziska Dieckmann; Jennifer Williams 2022-03-27 Rebuild and Ensemble: Exploring Defense Against Text Adversaries. (76%)Linyang Li; Demin Song; Jiehang Zeng; Ruotian Ma; Xipeng Qiu Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework. (8%)Jikun Chen; Feng Qiang; Na Ruan 2022-03-26 How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. (99%)Yimeng Zhang; Yuguang Yao; Jinghan Jia; Jinfeng Yi; Mingyi Hong; Shiyu Chang; Sijia Liu A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies. (99%)Zhuang Qian; Kaizhu Huang; Qiu-Feng Wang; Xu-Yao Zhang Reverse Engineering of Imperceptible Adversarial Image Perturbations. (99%)Yifan Gong; Yuguang Yao; Yize Li; Yimeng Zhang; Xiaoming Liu; Xue Lin; Sijia Liu Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding. (33%)Zhilu Wang; Chao Huang; Qi Zhu A Systematic Survey of Attack Detection and Prevention in Connected and Autonomous Vehicles. (1%)Trupil Limbasiya; Ko Zheng Teng; Sudipta Chattopadhyay; Jianying Zhou A Roadmap for Big Model. (1%)Sha Yuan; Hanyu Zhao; Shuai Zhao; Jiahong Leng; Yangxiao Liang; Xiaozhi Wang; Jifan Yu; Xin Lv; Zhou Shao; Jiaao He; Yankai Lin; Xu Han; Zhenghao Liu; Ning Ding; Yongming Rao; Yizhao Gao; Liang Zhang; Ming Ding; Cong Fang; Yisen Wang; Mingsheng Long; Jing Zhang; Yinpeng Dong; Tianyu Pang; Peng Cui; Lingxiao Huang; Zheng Liang; Huawei Shen; Hui Zhang; Quanshi Zhang; Qingxiu Dong; Zhixing Tan; Mingxuan Wang; Shuo Wang; Long Zhou; Haoran Li; Junwei Bao; Yingwei Pan; Weinan Zhang; Zhou Yu; Rui Yan; Chence Shi; Minghao Xu; Zuobai Zhang; Guoqiang Wang; Xiang Pan; Mengjie Li; Xiaoyu Chu; Zijun Yao; Fangwei Zhu; Shulin Cao; Weicheng Xue; Zixuan Ma; Zhengyan Zhang; Shengding Hu; Yujia Qin; Chaojun Xiao; Zheni Zeng; Ganqu Cui; Weize Chen; Weilin Zhao; Yuan Yao; Peng Li; Wenzhao Zheng; Wenliang Zhao; Ziyi Wang; Borui Zhang; Nanyi Fei; Anwen Hu; Zenan Ling; Haoyang Li; Boxi Cao; Xianpei Han; Weidong Zhan; Baobao Chang; Hao Sun; Jiawen Deng; Chujie Zheng; Juanzi Li; Lei Hou; Xigang Cao; Jidong Zhai; Zhiyuan Liu; Maosong Sun; Jiwen Lu; Zhiwu Lu; Qin Jin; Ruihua Song; Ji-Rong Wen; Zhouchen Lin; Liwei Wang; Hang Su; Jun Zhu; Zhifang Sui; Jiajun Zhang; Yang Liu; Xiaodong He; Minlie Huang; Jian Tang; Jie Tang 2022-03-25 Enhancing Transferability of Adversarial Examples with Spatial Momentum. (99%)Guoqiu Wang; Huanqian Yan; Xingxing Wei Origins of Low-dimensional Adversarial Perturbations. (98%)Elvis Dohmatob; Chuan Guo; Morgane Goibert Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness. (89%)Giulio Lovisotto; Nicole Finnie; Mauricio Munoz; Chaithanya Kumar Mummadi; Jan Hendrik Metzen Improving Robustness of Jet Tagging Algorithms with Adversarial Training. (10%)Annika Stein; Xavier Coubez; Spandan Mondal; Andrzej Novak; Alexander Schmidt A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training. (5%)Yifei Wang; Yisen Wang; Jiansheng Yang; Zhouchen Lin A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration. (1%)Ramya Hebbalaguppe; Jatin Prakash; Neelabh Madan; Chetan Arora 2022-03-24 Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning. (99%)Arezoo Rajabi; Bhaskar Ramasubramanian; Radha Poovendran A Perturbation Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow. (99%)Jenny Schmalfuss; Philipp Scholze; Andrés Bruhn NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. (93%)Xiaofei Xie; Tianlin Li; Jian Wang; Lei Ma; Qing Guo; Felix Juefei-Xu; Yang Liu MERLIN -- Malware Evasion with Reinforcement LearnINg. (56%)Tony Quertier; Benjamin Marais; Stéphane Morucci; Bertrand Fournel Repairing Group-Level Errors for DNNs Using Weighted Regularization. (13%)Ziyuan Zhong; Yuchi Tian; Conor J. Sweeney; Vicente Ordonez-Roman; Baishakhi Ray A Manifold View of Adversarial Risk. (11%)Wenjia Zhang; Yikai Zhang; Xiaoling Hu; Mayank Goswami; Chao Chen; Dimitris Metaxas 2022-03-23 Powerful Physical Adversarial Examples Against Practical Face Recognition Systems. (99%)Inderjeet Singh; Toshinori Araki; Kazuya Kakizaki Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. (99%)Hanjie Chen; Yangfeng Ji Input-specific Attention Subnetworks for Adversarial Detection. (99%)Emil Biju; Anirudh Sriram; Pratyush Kumar; Mitesh M Khapra Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. (69%)Liang Chen; Yong Zhang; Yibing Song; Lingqiao Liu; Jue Wang Distort to Detect, not Affect: Detecting Stealthy Sensor Attacks with Micro-distortion. (3%)Suman Sourav; Binbin Chen On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations. (3%)Philipp Terhörst; Florian Bierbaum; Marco Huber; Naser Damer; Florian Kirchbuchner; Kiran Raja; Arjan Kuijper 2022-03-22 Exploring High-Order Structure for Robust Graph Structure Learning. (99%)Guangqian Yang; Yibing Zhan; Jinlong Li; Baosheng Yu; Liu Liu; Fengxiang He On Adversarial Robustness of Large-scale Audio Visual Learning. (93%)Juncheng B Bernie Li; Shuhui Bernie Qu; Xinjian Bernie Li; Bernie Po-Yao; Huang; Florian Metze On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes. (86%)Elvis Dohmatob; Alberto Bietti Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis. (78%)Yuwei Sun; Hideya Ochiai; Jun Sakuma A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation. (2%)Wanyue Zhai; Jonathan Rusert; Zubair Shafiq; Padmini Srinivasan GradViT: Gradient Inversion of Vision Transformers. (1%)Ali Hatamizadeh; Hongxu Yin; Holger Roth; Wenqi Li; Jan Kautz; Daguang Xu; Pavlo Molchanov On Robust Classification using Contractive Hamiltonian Neural ODEs. (1%)Muhammad Zakwan; Liang Xu; Giancarlo Ferrari-Trecate 2022-03-21 Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack. (92%)Chi Liu; Huajie Chen; Tianqing Zhu; Jun Zhang; Wanlei Zhou Integrity Fingerprinting of DNN with Double Black-box Design and Verification. (10%)Shuo Wang; Sidharth Agarwal; Sharif Abuadbba; Kristen Moore; Surya Nepal; Salil Kanhere On The Robustness of Offensive Language Classifiers. (2%)Jonathan Rusert; Zubair Shafiq; Padmini Srinivasan Defending against Co-residence Attack in Energy-Efficient Cloud: An Optimization based Real-time Secure VM Allocation Strategy. (1%)Lu Cao; Ruiwen Li; Xiaojun Ruan; Yuhong Liu 2022-03-20 An Intermediate-level Attack Framework on The Basis of Linear Regression. (99%)Yiwen Guo; Qizhang Li; Wangmeng Zuo; Hao Chen A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement. (99%)Yuting Yang; Pei Huang; Juan Cao; Jintao Li; Yun Lin; Jin Song Dong; Feifei Ma; Jian Zhang Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition. (82%)Aaron Reich; Jiaao Chen; Aastha Agrawal; Yanzhe Zhang; Diyi Yang Adversarial Parameter Attack on Deep Neural Networks. (62%)Lijia Yu; Yihan Wang; Xiao-Shan Gao 2022-03-19 Adversarial Defense via Image Denoising with Chaotic Encryption. (99%)Shi Hu; Eric Nalisnick; Max Welling Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense. (98%)Thai Le; Jooyoung Lee; Kevin Yen; Yifan Hu; Dongwon Lee Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model. (84%)Jiayi Wang; Rongzhou Bao; Zhuosheng Zhang; Hai Zhao Efficient Neural Network Analysis with Sum-of-Infeasibilities. (74%)Haoze Wu; Aleksandar Zeljić; Guy Katz; Clark Barrett Deep Learning Generalization, Extrapolation, and Over-parameterization. (68%)Roozbeh Yousefzadeh On Robust Prefix-Tuning for Text Classification. (10%)Zonghan Yang; Yang Liu 2022-03-18 Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike. (99%)Johannes Schneider; Giovanni Apruzzese Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. (99%)Jung-Woo Chang; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition. (99%)Marie Biolková; Bac Nguyen AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack. (99%)Jinqiao Li; Xiaotao Liu; Jian Zhao; Furao Shen Alleviating Adversarial Attacks on Variational Autoencoders with MCMC. (96%)Anna Kuzina; Max Welling; Jakub M. Tomczak DTA: Physical Camouflage Attacks using Differentiable Transformation Network. (83%)Naufal Suryanto; Yongsu Kim; Hyoeun Kang; Harashta Tatimma Larasati; Youngyeo Yun; Thi-Thu-Huong Le; Hunmin Yang; Se-Yoon Oh; Howon Kim AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks. (78%)Arman Pashamokhtari; Gustavo Batista; Hassan Habibi Gharakheili Towards Robust 2D Convolution for Reliable Visual Recognition. (9%)Lida Li; Shuai Li; Kun Wang; Xiangchu Feng; Lei Zhang 2022-03-17 Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. (99%)Junyoung Byun; Seungju Cho; Myung-Joon Kwon; Hee-Seon Kim; Changick Kim Self-Ensemble Adversarial Training for Improved Robustness. (99%)Hongjun Wang; Yisen Wang Leveraging Adversarial Examples to Quantify Membership Information Leakage. (98%)Grosso Ganesh Del; Hamid Jalalzai; Georg Pichler; Catuscia Palamidessi; Pablo Piantanida On the Properties of Adversarially-Trained CNNs. (93%)Mattia Carletti; Matteo Terzi; Gian Antonio Susto PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. (89%)Yue Wang; Wenqing Li; Esha Sarkar; Muhammad Shafique; Michail Maniatakos; Saif Eddin Jabari HDLock: Exploiting Privileged Encoding to Protect Hyperdimensional Computing Models against IP Stealing. (1%)Shijin Duan; Shaolei Ren; Xiaolin Xu 2022-03-16 Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training. (99%)Adir Rahamim; Itay Naeh Towards Practical Certifiable Patch Defense with Vision Transformer. (98%)Zhaoyu Chen; Bo Li; Jianghe Xu; Shuang Wu; Shouhong Ding; Wenqiang Zhang Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? (97%)Yonggan Fu; Shunyao Zhang; Shang Wu; Cheng Wan; Yingyan Lin Provable Adversarial Robustness for Fractional Lp Threat Models. (87%)Alexander Levine; Soheil Feizi What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study. (83%)Binxiao Huang; Chaofan Tao; Rui Lin; Ngai Wong COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. (82%)Fan Wu; Linyi Li; Chejian Xu; Huan Zhang; Bhavya Kailkhura; Krishnaram Kenthapadi; Ding Zhao; Bo Li Reducing Flipping Errors in Deep Neural Networks. (68%)Xiang Deng; Yun Xiao; Bo Long; Zhongfei Zhang Attacking deep networks with surrogate-based adversarial black-box methods is easy. (45%)Nicholas A. Lord; Romain Mueller; Luca Bertinetto On the Convergence of Certified Robust Training with Interval Bound Propagation. (15%)Yihan Wang; Zhouxing Shi; Quanquan Gu; Cho-Jui Hsieh MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients. (15%)Xiaoyu Cao; Neil Zhenqiang Gong Understanding robustness and generalization of artificial neural networks through Fourier masks. (2%)Nikos Karantzas; Emma Besier; Josue Ortega Caro; Xaq Pitkow; Andreas S. Tolias; Ankit B. Patel; Fabio Anselmi 2022-03-15 Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. (76%)Tejas Gokhale; Swaroop Mishra; Man Luo; Bhavdeep Singh Sachdeva; Chitta Baral Internet-based Social Engineering Attacks, Defenses and Psychology: A Survey. (13%)Theodore Longtchi; Rosana Montañez Rodriguez; Laith Al-Shawaf; Adham Atyabi; Shouhuai Xu Towards Adversarial Control Loops in Sensor Attacks: A Case Study to Control the Kinematics and Actuation of Embedded Systems. (10%)Yazhou Tu; Sara Rampazzi; Xiali Hei LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference. (1%)Zhongzhi Yu; Yonggan Fu; Shang Wu; Mengquan Li; Haoran You; Yingyan Lin Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. (1%)Tian Xia; Pedro Sanchez; Chen Qin; Sotirios A. Tsaftaris 2022-03-14 Efficient universal shuffle attack for visual object tracking. (99%)Siao Liu; Zhaoyu Chen; Wei Li; Jiwei Zhu; Jiafeng Wang; Wenqiang Zhang; Zhongxue Gan Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training. (99%)Jiahao Shao; Shijia Geng; Zhaoji Fu; Weilun Xu; Tong Liu; Shenda Hong Task-Agnostic Robust Representation Learning. (98%)A. Tuan Nguyen; Ser Nam Lim; Philip Torr Adversarial amplitude swap towards robust image classifiers. (83%)Chun Yang Tan; Hiroshi Kera; Kazuhiko Kawamoto On the benefits of knowledge distillation for adversarial robustness. (82%)Javier Maroto; Guillermo Ortiz-Jiménez; Pascal Frossard RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing. (82%)Onat Gungor; Tajana Rosing; Baris Aksanli Energy-Latency Attacks via Sponge Poisoning. (80%)Antonio Emanuele Cinà; Ambra Demontis; Battista Biggio; Fabio Roli; Marcello Pelillo Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis. (54%)Giulio Rossolini; Federico Nesti; Fabio Brau; Alessandro Biondi; Giorgio Buttazzo 2022-03-13 LAS-AT: Adversarial Training with Learnable Attack Strategy. (99%)Xiaojun Jia; Yong Zhang; Baoyuan Wu; Ke Ma; Jue Wang; Xiaochun Cao Generating Practical Adversarial Network Traffic Flows Using NIDSGAN. (99%)Bolor-Erdene Zolbayar; Ryan Sheatsley; Patrick McDaniel; Michael J. Weisman; Sencun Zhu; Shitong Zhu; Srikanth Krishnamurthy Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It. (92%)Dayong Ye; Huiqiang Chen; Shuai Zhou; Tianqing Zhu; Wanlei Zhou; Shouling Ji One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy. (67%)Dayong Ye; Sheng Shen; Tianqing Zhu; Bo Liu; Wanlei Zhou Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. (3%)Jialian Li; Tongzheng Ren; Dong Yan; Hang Su; Jun Zhu 2022-03-12 Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior. (99%)Yinpeng Dong; Shuyu Cheng; Tianyu Pang; Hang Su; Jun Zhu A survey in Adversarial Defences and Robustness in NLP. (99%)Shreya Goyal; Sumanth Doddapaneni; Mitesh M. Khapra; Balaraman Ravindran Label-only Model Inversion Attack: The Attack that Requires the Least Information. (47%)Dayong Ye; Tianqing Zhu; Shuai Zhou; Bo Liu; Wanlei Zhou 2022-03-11 Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers. (99%)Sahar Sadrizadeh; Ljiljana Dolamic; Pascal Frossard Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification. (98%)Jianzhang Zheng; Fan Yang; Hao Shen; Xuan Tang; Mingsong Chen; Liang Song; Xian Wei An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacks. (96%)Anirudh Yadav; Ashutosh Upadhyay; S. Sharanya Enhancing Adversarial Training with Second-Order Statistics of Weights. (38%)Gaojie Jin; Xinping Yi; Wei Huang; Sven Schewe; Xiaowei Huang ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. (33%)Lyndon Boone; Mahdi Biparva; Parisa Mojiri Forooshani; Joel Ramirez; Mario Masellis; Robert Bartha; Sean Symons; Stephen Strother; Sandra E. Black; Chris Heyn; Anne L. Martel; Richard H. Swartz; Maged Goubran Perception Over Time: Temporal Dynamics for Robust Image Understanding. (16%)Maryam Daniali; Edward Kim Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation. (15%)Yunhan Huang; Quanyan Zhu 2022-03-10 Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. (92%)Yiqi Zhong; Lei Wu; Xianming Liu; Junjun Jiang Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. (75%)Saeed Ranjbar Alvar; Lanjun Wang; Jian Pei; Yong Zhang Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method. (69%)Arbena Musa; Kamer Vishi; Blerim Rexha Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems. (64%)Hadi Abdullah; Aditya Karlekar; Saurabh Prasad; Muhammad Sajidur Rahman; Logan Blue; Luke A. Bauer; Vincent Bindschaedler; Patrick Traynor SoK: On the Semantic AI Security in Autonomous Driving. (10%)Junjie Shen; Ningfei Wang; Ziwen Wan; Yunpeng Luo; Takami Sato; Zhisheng Hu; Xinyang Zhang; Shengjian Guo; Zhenyu Zhong; Kang Li; Ziming Zhao; Chunming Qiao; Qi Alfred Chen 2022-03-09 Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation. (99%)Qilong Zhang; Chaoning Zhang; Chaoqun Li; Jingkuan Song; Lianli Gao; Heng Tao Shen Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. (99%)Ye Liu; Yaya Cheng; Lianli Gao; Xianglong Liu; Qilong Zhang; Jingkuan Song Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. (99%)Cheng Luo; Qinliang Lin; Weicheng Xie; Bizhu Wu; Jinheng Xie; Linlin Shen Binary Classification Under $\ell_0$ Attacks for General Noise Distribution. (98%)Payam Delgosha; Hamed Hassani; Ramtin Pedarsani Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition. (97%)Xiao Yang; Yinpeng Dong; Tianyu Pang; Zihao Xiao; Hang Su; Jun Zhu Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees. (92%)Darshan Thaker; Paris Giampouras; René Vidal Defending Black-box Skeleton-based Human Activity Classifiers. (92%)He Wang; Yunfeng Diao; Zichang Tan; Guodong Guo Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. (81%)Yi Chang; Sofiane Laridi; Zhao Ren; Gregory Palmer; Björn W. Schuller; Marco Fisichella Improving Neural ODEs via Knowledge Distillation. (80%)Haoyu Chu; Shikui Wei; Qiming Lu; Yao Zhao Physics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network. (22%)Ruiyang Chen; Yingjie Li; Minhan Lou; Jichao Fan; Yingheng Tang; Berardi Sensale-Rodriguez; Cunxi Yu; Weilu Gao On the surprising tradeoff between ImageNet accuracy and perceptual similarity. (1%)Manoj Kumar; Neil Houlsby; Nal Kalchbrenner; Ekin D. Cubuk 2022-03-08 Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust NIDS. (99%)João Vitorino; Nuno Oliveira; Isabel Praça Shape-invariant 3D Adversarial Point Clouds. (99%)Qidong Huang; Xiaoyi Dong; Dongdong Chen; Hang Zhou; Weiming Zhang; Nenghai Yu ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. (92%)Robin Wang; Yibo Yang; Dacheng Tao Robustly-reliable learners under poisoning attacks. (13%)Maria-Florina Balcan; Avrim Blum; Steve Hanneke; Dravyansh Sharma DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses. (2%)Alexander Veicht; Cedric Renggli; Diogo Barradas Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4. (1%)William Berrios; Arturo Deza Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems. (1%)Rahil Institute for Systems Research, University of Maryland Parikh; Ilya Google Inc Kavalerov; Carol Institute for Systems Research, University of Maryland Espy-Wilson; Shihab Institute for Systems Research, University of Maryland Shamma 2022-03-07 ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches. (99%)Maura Pintor; Daniele Angioni; Angelo Sotgiu; Luca Demetrio; Ambra Demontis; Battista Biggio; Fabio Roli Art-Attack: Black-Box Adversarial Attack via Evolutionary Art. (99%)Phoenix Williams; Ke Li Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. (99%)Yiqi Zhong; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji Adversarial Texture for Fooling Person Detectors in the Physical World. (98%)Zhanhao Hu; Siyuan Huang; Xiaopei Zhu; Xiaolin Hu; Fuchun Sun; Bo Zhang Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision. (83%)Jun Zhuang; Mohammad Al Hasan Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation. (31%)Xiaogeng Liu; Haoyu Wang; Yechao Zhang; Fangzhou Wu; Shengshan Hu 2022-03-06 Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation. (99%)Jialiang Sun; Tingsong Jiang; Chao Li; Weien Zhou; Xiaoya Zhang; Wen Yao; Xiaoqian Chen Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. (98%)Shengshan Hu; Xiaogeng Liu; Yechao Zhang; Minghui Li; Leo Yu Zhang; Hai Jin; Libing Wu Scalable Uncertainty Quantification for Deep Operator Networks using Randomized Priors. (45%)Yibo Yang; Georgios Kissas; Paris Perdikaris 2022-03-05 aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA. (92%)Md Imran Hossen; Xiali Hei 2022-03-04 Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation. (82%)Xudong Zhang; Zan Wang; Jingke Zhao; Lanjun Wang 2022-03-03 Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking. (99%)Changhong Fu; Sihang Li; Xinnan Yuan; Junjie Ye; Ziang Cao; Fangqiang Ding Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation. (98%)KiYoon Yoo; Jangho Kim; Jiho Jang; Nojun Kwak Adversarial Patterns: Building Robust Android Malware Classifiers. (98%)Dipkamal Bhusal; Nidhi Rastogi Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training. (84%)Pervaiz Iqbal Khan; Shoaib Ahmed Siddiqui; Imran Razzak; Andreas Dengel; Sheraz Ahmed Label-Only Model Inversion Attacks via Boundary Repulsion. (74%)Mostafa Kahla; Si Chen; Hoang Anh Just; Ruoxi Jia Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models. (56%)Zhibo Wang; Xiaowei Dong; Henry Xue; Zhifei Zhang; Weifeng Chiu; Tao Wei; Kui Ren Why adversarial training can hurt robust accuracy. (22%)Jacob Clarysse; Julia Hörmann; Fanny Yang Understanding Failure Modes of Self-Supervised Learning. (4%)Neha Mukund Kalibhat; Kanika Narang; Liang Tan; Hamed Firooz; Maziar Sanjabi; Soheil Feizi Ensemble Methods for Robust Support Vector Machines using Integer Programming. (2%)Jannis Kurtz Autonomous and Resilient Control for Optimal LEO Satellite Constellation Coverage Against Space Threats. (1%)Yuhan Zhao; Quanyan Zhu 2022-03-02 Enhancing Adversarial Robustness for Deep Metric Learning. (99%)Mo Zhou; Vishal M. Patel Detecting Adversarial Perturbations in Multi-Task Perception. (98%)Marvin Klingner; Varun Ravi Kumar; Senthil Yogamani; Andreas Bär; Tim Fingscheidt Canonical foliations of neural networks: application to robustness. (82%)Eliot Tron; Nicolas Couellan; Stéphane Puechmorel Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. (69%)Evan Crothers; Nathalie Japkowicz; Herna Viktor; Paula Branco Video is All You Need: Attacking PPG-based Biometric Authentication. (13%)Lin Li; Chao Chen; Lei Pan; Jun Zhang; Yang Xiang MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members. (2%)Ismat Jarin; Birhanu Eshete A Quantitative Geometric Approach to Neural-Network Smoothness. (2%)Zi Wang; Gautam Prakriya; Somesh Jha 2022-03-01 Adversarial samples for deep monocular 6D object pose estimation. (99%)Jinlai Zhang; Weiming Li; Shuang Liang; Hao Wang; Jihong Zhu Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving. (87%)Xingshuo Han; Guowen Xu; Yuan Zhou; Xuehuan Yang; Jiwei Li; Tianwei Zhang Global-Local Regularization Via Distributional Robustness. (86%)Hoang Phan; Trung Le; Trung Phung; Tuan Anh Bui; Nhat Ho; Dinh Phung Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation. (11%)Wei Dai; Daniel Berleant Signature Correction Attack on Dilithium Signature Scheme. (1%)Saad Islam; Koksal Mus; Richa Singh; Patrick Schaumont; Berk Sunar 2022-02-28 Enhance transferability of adversarial examples with model architecture. (99%)Mingyuan Fan; Wenzhong Guo; Shengxing Yu; Zuobin Ying; Ximeng Liu Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training. (99%)Jiazhu Dai; Siwei Xiong Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. (98%)Francesco Croce; Sven Gowal; Thomas Brunner; Evan Shelhamer; Matthias Hein; Taylan Cemgil MaMaDroid2.0 -- The Holes of Control Flow Graphs. (88%)Harel Berger; Chen Hajaj; Enrico Mariconti; Amit Dvir Improving Lexical Embeddings for Robust Question Answering. (67%)Weiwen Xu; Bowei Zou; Wai Lam; Ai Ti Aw Robust Textual Embedding against Word-level Adversarial Attacks. (26%)Yichen Yang; Xiaosen Wang; Kun He Artificial Intelligence for Cyber Security (AICS). (1%)James Holt; Edward Raff; Ahmad Ridley; Dennis Ross; Arunesh Sinha; Diane Staheli; William Streilen; Milind Tambe; Yevgeniy Vorobeychik; Allan Wollaber Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles. (1%)Nidhi Rastogi; Sara Rampazzi; Michael Clifford; Miriam Heller; Matthew Bishop; Karl Levitt 2022-02-27 A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. (99%)Tuan Anh Bui; Trung Le; Quan Tran; He Zhao; Dinh Phung Robust Control of Partially Specified Boolean Networks. (1%)Luboš Brim; Samuel Pastva; David Šafránek; Eva Šmijáková 2022-02-26 Adversarial robustness of sparse local Lipschitz predictors. (87%)Ramchandran Muthukumar; Jeremias Sulam Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations. (45%)Metehan Cekic; Can Bakiskan; Upamanyu Madhow 2022-02-25 ARIA: Adversarially Robust Image Attribution for Content Provenance. (99%)Maksym Andriushchenko; Xiaoyang Rebecca Li; Geoffrey Oxholm; Thomas Gittings; Tu Bui; Nicolas Flammarion; John Collomosse Projective Ranking-based GNN Evasion Attacks. (97%)He Zhang; Xingliang Yuan; Chuan Zhou; Shirui Pan On the Effectiveness of Dataset Watermarking in Adversarial Settings. (56%)Buse Gul Atli Tekgul; N. Asokan 2022-02-24 Towards Effective and Robust Neural Trojan Defenses via Input Filtering. (92%)Kien Do; Haripriya Harikumar; Hung Le; Dung Nguyen; Truyen Tran; Santu Rana; Dang Nguyen; Willy Susilo; Svetha Venkatesh Robust Probabilistic Time Series Forecasting. (76%)TaeHo Yoon; Youngsuk Park; Ernest K. Ryu; Yuyang Wang Understanding Adversarial Robustness from Feature Maps of Convolutional Layers. (50%)Cong Xu; Min Yang Measuring CLEVRness: Blackbox testing of Visual Reasoning Models. (16%)Spyridon Mouselinos; Henryk Michalewski; Mateusz Malinowski Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration. (3%)Ryan Soklaski; Michael Yee; Theodoros Tsiligkaridis Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations. (2%)Chih-Kuan Yeh; Kuan-Yun Lee; Frederick Liu; Pradeep Ravikumar Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning. (1%)Xihong Yang; Xiaochang Hu; Sihang Zhou; Xinwang Liu; En Zhu 2022-02-23 Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling. (96%)Zhi-Yuan Zhang; Di Liu Using calibrator to improve robustness in Machine Reading Comprehension. (13%)Jing Jin; Houfeng Wang 2022-02-22 LPF-Defense: 3D Adversarial Defense based on Frequency Analysis. (99%)Hanieh Naderi; Kimia Noorbakhsh; Arian Etemadi; Shohreh Kasaei Universal adversarial perturbation for remote sensing images. (92%)Zhaoxia Yin; Qingyu Wang; Jin Tang; Bin Luo Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era. (84%)Changjiang Li; Li Wang; Shouling Ji; Xuhong Zhang; Zhaohan Xi; Shanqing Guo; Ting Wang Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning. (1%)Hao He; Kaiwen Zha; Dina Katabi 2022-02-21 Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey. (99%)Ngoc Dung Huynh; Mohamed Reda Bouadjenek; Imran Razzak; Kevin Lee; Chetan Arora; Ali Hassani; Arkady Zaslavsky Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness. (99%)Beomsu Kim; Junghoon Seo HoneyModels: Machine Learning Honeypots. (99%)Ahmed Abdou; Ryan Sheatsley; Yohan Beugin; Tyler Shipp; Patrick McDaniel Transferring Adversarial Robustness Through Robust Representation Matching. (99%)Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati On the Effectiveness of Adversarial Training against Backdoor Attacks. (96%)Yinghua Gao; Dongxian Wu; Jingfeng Zhang; Guanhao Gan; Shu-Tao Xia; Gang Niu; Masashi Sugiyama Poisoning Attacks and Defenses on Artificial Intelligence: A Survey. (83%)Miguel A. Ramirez; Song-Kyoo Kim; Hussam Al Hamadi; Ernesto Damiani; Young-Ji Byon; Tae-Yeon Kim; Chung-Suk Cho; Chan Yeob Yeun A Tutorial on Adversarial Learning Attacks and Countermeasures. (75%)Cato Pauling; Michael Gimson; Muhammed Qaid; Ahmad Kida; Basel Halak Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection. (41%)Yein Kim; Huili Chen; Farinaz Koushanfar Privacy Leakage of Adversarial Training Models in Federated Learning Systems. (38%)Jingyang Zhang; Yiran Chen; Hai Li Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. (11%)Tianyu Pang; Min Lin; Xiao Yang; Jun Zhu; Shuicheng Yan Cyber-Physical Defense in the Quantum Era. (2%)Michel Barbeau; Joaquin Garcia-Alfaro 2022-02-20 Real-time Over-the-air Adversarial Perturbations for Digital Communications using Deep Neural Networks. (93%)Roman A. Sandler; Peter K. Relich; Cloud Cho; Sean Holloway Sparsity Winning Twice: Better Robust Generaliztion from More Efficient Training. (26%)Tianlong Chen; Zhenyu Zhang; Pengjun Wang; Santosh Balachandra; Haoyu Ma; Zehao Wang; Zhangyang Wang Overparametrization improves robustness against adversarial attacks: A replication study. (3%)Ali Borji 2022-02-18 Exploring Adversarially Robust Training for Unsupervised Domain Adaptation. (99%)Shao-Yuan Lo; Vishal M. Patel Learning Representations Robust to Group Shifts and Adversarial Examples. (93%)Ming-Chang Chiu; Xuezhe Ma Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness. (92%)Kanak Tekwani; Manojkumar Parmar Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches. (80%)Reena Zelenkova; Jack Swallow; M. A. P. Chamikara; Dongxi Liu; Mohan Baruwal Chhetri; Seyit Camtepe; Marthie Grobler; Mahathir Almashor Data-Driven Mitigation of Adversarial Text Perturbation. (75%)Rasika Bhalerao; Mohammad Al-Rubaie; Anand Bhaskar; Igor Markov Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias. (68%)Shangxi Wu; Qiuyang He; Yi Zhang; Jitao Sang Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge. (38%)Nicholas J. Teague Label-Smoothed Backdoor Attack. (33%)Minlong Peng; Zidi Xiong; Mingming Sun; Ping Li Black-box Node Injection Attack for Graph Neural Networks. (33%)Mingxuan Ju; Yujie Fan; Yanfang Ye; Liang Zhao Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. (9%)Peide Huang; Mengdi Xu; Fei Fang; Ding Zhao Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems. (4%)Mohamad Fazelnia; Igor Khokhlov; Mehdi Mirakhorli Synthetic Disinformation Attacks on Automated Fact Verification Systems. (1%)Yibing Du; Antoine Bosselut; Christopher D. Manning 2022-02-17 Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem. (99%)Abderrahmen Amich; Birhanu Eshete Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition. (98%)Chao-Han Huck Yang; Zeeshan Ahmed; Yile Gu; Joseph Szurley; Roger Ren; Linda Liu; Andreas Stolcke; Ivan Bulyko Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies. (98%)Chris Wise; Jo Plested Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. (78%)Zirui Peng; Shaofeng Li; Guoxing Chen; Cheng Zhang; Haojin Zhu; Minhui Xue 2022-02-16 The Adversarial Security Mitigations of mmWave Beamforming Prediction Models using Defensive Distillation and Adversarial Retraining. (99%)Murat Kuzlu; Ferhat Ozgur Catak; Umit Cali; Evren Catak; Ozgur Guler Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. (10%)Yongqiang Chen; Han Yang; Yonggang Zhang; Kaili Ma; Tongliang Liu; Bo Han; James Cheng Gradient Based Activations for Accurate Bias-Free Learning. (1%)Vinod K Kurmi; Rishabh Sharma; Yash Vardhan Sharma; Vinay P. Namboodiri 2022-02-15 Unreasonable Effectiveness of Last Hidden Layer Activations. (99%)Omer Faruk Tuna; Ferhat Ozgur Catak; M. Taner Eskil StratDef: a strategic defense against adversarial attacks in malware detection. (99%)Aqib Rashid; Jose Such Random Walks for Adversarial Meshes. (97%)Amir Belder; Gal Yefet; Ran Ben Izhak; Ayellet Tal Generative Adversarial Network-Driven Detection of Adversarial Tasks in Mobile Crowdsensing. (93%)Zhiyan Chen; Burak Kantarci Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars. (89%)Aakash Kumar Improving the repeatability of deep learning models with Monte Carlo dropout. (1%)Andreanne Lemay; Katharina Hoebel; Christopher P. Bridge; Brian Befano; Sanjosé Silvia De; Diden Egemen; Ana Cecilia Rodriguez; Mark Schiffman; John Peter Campbell; Jayashree Kalpathy-Cramer Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. (1%)Zhen Lin; Shubhendu Trivedi; Jimeng Sun Holistic Adversarial Robustness of Deep Learning Models. (1%)Pin-Yu Chen; Sijia Liu 2022-02-14 Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. (99%)Yonghao Xu; Pedram Ghamisi Finding Dynamics Preserving Adversarial Winning Tickets. (86%)Xupeng Shi; Pengfei Zheng; A. Adam Ding; Yuan Gao; Weizhong Zhang Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. (83%)Bingzhe Wu; Jintang Li; Chengbin Hou; Guoji Fu; Yatao Bian; Liang Chen; Junzhou Huang UA-FedRec: Untargeted Attack on Federated News Recommendation. (1%)Jingwei Yi; Fangzhao Wu; Bin Zhu; Yang Yu; Chao Zhang; Guangzhong Sun; Xing Xie PFGE: Parsimonious Fast Geometric Ensembling of DNNs. (1%)Hao Guo; Jiyong Jin; Bin Liu 2022-02-13 Adversarial Fine-tuning for Backdoor Defense: Connecting Backdoor Attacks to Adversarial Attacks. (99%)Bingxu Mu; Zhenxing Niu; Le Wang; Xue Wang; Rong Jin; Gang Hua Training with More Confidence: Mitigating Injected and Natural Backdoors During Training. (92%)Zhenting Wang; Hailun Ding; Juan Zhai; Shiqing Ma Extracting Label-specific Key Input Features for Neural Code Intelligence Models. (9%)Md Rafiqul Islam Rabin Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. (2%)Zhilin Wang; Qiao Kang; Xinyi Zhang; Qin Hu SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. (1%)Cong Guo; Yuxian Qiu; Jingwen Leng; Xiaotian Gao; Chen Zhang; Yunxin Liu; Fan Yang; Yuhao Zhu; Minyi Guo 2022-02-12 RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation. (98%)Zhen Qian Li; Qian Guenevere; Chen; Chen Chen; Yayi Zou; Shouhuai Xu Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons. (98%)Haibo Jin; Ruoxi Chen; Haibin Zheng; Jinyin Chen; Yao Cheng; Yue Yu; Xianglong Liu 2022-02-11 Adversarial Attacks and Defense Methods for Power Quality Recognition. (99%)Jiwei Tian; Buhong Wang; Jing Li; Zhen Wang; Mete Ozay Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. (99%)Ashish Hooda; Neal Mangaokar; Ryan Feng; Kassem Fawaz; Somesh Jha; Atul Prakash Open-set Adversarial Defense with Clean-Adversarial Mutual Learning. (98%)Rui Shao; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models. (92%)Abigail Swenor; Jugal Kalita Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign. (74%)Axi Niu; Kang Zhang; Chaoning Zhang; Chenshuang Zhang; In So Kweon; Chang D. Yoo; Yanning Zhang Predicting Out-of-Distribution Error with the Projection Norm. (62%)Yaodong Yu; Zitong Yang; Alexander Wei; Yi Ma; Jacob Steinhardt Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. (62%)Limin Yang; Zhi Chen; Jacopo Cortellazzi; Feargus Pendlebury; Kevin Tu; Fabio Pierazzi; Lorenzo Cavallaro; Gang Wang White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense. (12%)Shahrukh Khan; Mahnoor Shahid; Navdeeppal Singh On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems. (10%)Zesheng Chen Improving Generalization via Uncertainty Driven Perturbations. (2%)Matteo Pagliardini; Gilberto Manunza; Martin Jaggi; Michael I. Jordan; Tatjana Chavdarova CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. (1%)Jun Shu; Xiang Yuan; Deyu Meng; Zongben Xu 2022-02-10 FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation. (99%)Yuantian Miao; Chao Chen; Lei Pan; Jun Zhang; Yang Xiang Towards Assessing and Characterizing the Semantic Robustness of Face Recognition. (76%)Juan C. Pérez; Motasem Alfarra; Ali Thabet; Pablo Arbeláez; Bernard Ghanem Controlling the Complexity and Lipschitz Constant improves polynomial nets. (12%)Zhenyu Zhu; Fabian Latorre; Grigorios G Chrysos; Volkan Cevher FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. (8%)Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang; Xing Xie A Field of Experts Prior for Adapting Neural Networks at Test Time. (1%)Neerav Karani; Georg Brunner; Ertunc Erdil; Simin Fei; Kerem Tezcan; Krishna Chaitanya; Ender Konukoglu 2022-02-09 Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios. (99%)Jung Im Choi; Qing Tian Gradient Methods Provably Converge to Non-Robust Networks. (82%)Gal Vardi; Gilad Yehudai; Ohad Shamir False Memory Formation in Continual Learners Through Imperceptible Backdoor Trigger. (22%)Muhammad Umer; Robi Polikar Learning to Bootstrap for Combating Label Noise. (2%)Yuyin Zhou; Xianhang Li; Fengze Liu; Xuxi Chen; Lequan Yu; Cihang Xie; Matthew P. Lungren; Lei Xing Model Architecture Adaption for Bayesian Neural Networks. (1%)Duo Wang; Yiren Zhao; Ilia Shumailov; Robert Mullins ARIBA: Towards Accurate and Robust Identification of Backdoor Attacks in Federated Learning. (1%)Yuxi Mi; Jihong Guan; Shuigeng Zhou 2022-02-08 Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations. (99%)Lei Hsiung; Yun-Yun Tsai; Pin-Yu Chen; Tsung-Yi Ho Verification-Aided Deep Ensemble Selection. (96%)Guy Amir; Guy Katz; Michael Schapira Adversarial Detection without Model Information. (87%)Abhishek Moitra; Youngeun Kim; Priyadarshini Panda Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks. (1%)Alireza Sadeghi 2022-02-07 On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks. (99%)Salijona Dyrmishi; Salah Ghamizi; Thibault Simonetto; Yves Le Traon; Maxime Cordy Blind leads Blind: A Zero-Knowledge Attack on Federated Learning. (98%)Jiyue Huang; Zilong Zhao; Lydia Y. Chen; Stefanie Roos Adversarial Attacks and Defense for Non-Parametric Two-Sample Tests. (98%)Xilie Xu; Jingfeng Zhang; Feng Liu; Masashi Sugiyama; Mohan Kankanhalli Evaluating Robustness of Cooperative MARL: A Model-based Approach. (97%)Nhan H. Pham; Lam M. Nguyen; Jie Chen; Hoang Thanh Lam; Subhro Das; Tsui-Wei Weng More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. (68%)Jing Xu; Rui Wang; Kaitai Liang; Stjepan Picek Membership Inference Attacks and Defenses in Neural Network Pruning. (50%)Xiaoyong Yuan; Lan Zhang SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. (4%)Jun Xia; Lirong Wu; Jintao Chen; Bozhen Hu; Stan Z. Li Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning. (3%)Ji Gao; Sanjam Garg; Mohammad Mahmoody; Prashant Nalini Vasudevan 2022-02-06 Pipe Overflow: Smashing Voice Authentication for Fun and Profit. (99%)Shimaa Ahmed; Yash Wani; Ali Shahin Shamsabadi; Mohammad Yaghini; Ilia Shumailov; Nicolas Papernot; Kassem Fawaz Redactor: Targeted Disinformation Generation using Probabilistic Decision Boundaries. (8%)Geon Heo; Steven Euijong Whang 2022-02-05 Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework. (99%)Mohammad Khalooei; Mohammad Mehdi Homayounpour; Maryam Amirmazlaghani Adversarial Detector with Robust Classifier. (93%)Takayuki Osakabe; Maungmaung Aprilpyone; Sayaka Shiota; Hitoshi Kiya Memory Defense: More Robust Classification via a Memory-Masking Autoencoder. (76%)Eashan Lehigh University Adhikarla; Dan Lehigh University Luo; Brian D. Lehigh University Davison Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation. (75%)Wenxiao Wang; Alexander Levine; Soheil Feizi 2022-02-04 Pixle: a fast and effective black-box attack based on rearranging pixels. (98%)Jary Pomponi; Simone Scardapane; Aurelio Uncini Backdoor Defense via Decoupling the Training Process. (80%)Kunzhe Huang; Yiming Li; Baoyuan Wu; Zhan Qin; Kui Ren LTU Attacker for Membership Inference. (67%)Joseph Pedersen; Rafael Muñoz-Gómez; Jiangnan Huang; Haozhe Sun; Wei-Wei Tu; Isabelle Guyon A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective. (1%)Wenhao Ding; Chejian Xu; Mansur Arief; Haohong Lin; Bo Li; Ding Zhao 2022-02-03 ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. (93%)Chong Xiang; Alexander Valtchanov; Saeed Mahloujifar; Prateek Mittal Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. (75%)Xiaojun Xu; Jacky Yibo Zhang; Evelyn Ma; Danny Son; Oluwasanmi Koyejo; Bo Li 2022-02-02 An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. (99%)Hanbin Hong; Yuan Hong; Yu Kong Smoothed Embeddings for Certified Few-Shot Learning. (76%)Mikhail Pautov; Olesya Kuznetsova; Nurislam Tursynbek; Aleksandr Petiushko; Ivan Oseledets Probabilistically Robust Learning: Balancing Average- and Worst-case Performance. (75%)Alexander Robey; Luiz F. O. Chamon; George J. Pappas; Hamed Hassani Make Some Noise: Reliable and Efficient Single-Step Adversarial Training. (70%)Jorge Pau de; Adel Bibi; Riccardo Volpi; Amartya Sanyal; Philip H. S. Torr; Grégory Rogez; Puneet K. Dokania Robust Binary Models by Pruning Randomly-initialized Networks. (10%)Chen Liu; Ziqi Zhao; Sabine Süsstrunk; Mathieu Salzmann NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. (10%)N. Benjamin Erichson; Soon Hoe Lim; Francisco Utrera; Winnie Xu; Ziang Cao; Michael W. Mahoney 2022-02-01 Language Dependencies in Adversarial Attacks on Speech Recognition Systems. (98%)Karla Markert; Donika Mirdita; Konstantin Böttinger Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks. (80%)Anne Harrington; Arturo Deza Visualizing Automatic Speech Recognition -- Means for a Better Understanding? (64%)Karla Markert; Romain Parracone; Mykhailo Kulakov; Philip Sperl; Ching-Yu Kao; Konstantin Böttinger Datamodels: Predicting Predictions from Training Data. (2%)Andrew Ilyas; Sung Min Park; Logan Engstrom; Guillaume Leclerc; Aleksander Madry 2022-01-31 Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons. (99%)Chandresh Pravin; Ivan Martino; Giuseppe Nicosia; Varun Ojha Boundary Defense Against Black-box Adversarial Attacks. (99%)Manjushree B. Aithal; Xiaohua Li Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models. (99%)Viet Quoc Vo; Ehsan Abbasnejad; Damith C. Ranasinghe Can Adversarial Training Be Manipulated By Non-Robust Features? (98%)Lue Tao; Lei Feng; Hongxin Wei; Jinfeng Yi; Sheng-Jun Huang; Songcan Chen GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection. (96%)Maged Abdelaty; Sandra Scott-Hayward; Roberto Doriguzzi-Corin; Domenico Siracusa Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks? (93%)Youngeun Kim; Hyoungseob Park; Abhishek Moitra; Abhiroop Bhattacharjee; Yeshwanth Venkatesha; Priyadarshini Panda AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks. (89%)Muhammad Usman; Youcheng Sun; Divya Gopinath; Corina S. Pasareanu Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks. (81%)Mingfu Xue; Shifeng Ni; Yinghao Wu; Yushu Zhang; Jian Wang; Weiqiang Liu On the Robustness of Quality Measures for GANs. (80%)Motasem Alfarra; Juan C. Pérez; Anna Frühstück; Philip H. S. Torr; Peter Wonka; Bernard Ghanem MEGA: Model Stealing via Collaborative Generator-Substitute Networks. (76%)Chi Hong; Jiyue Huang; Lydia Y. Chen Learning Robust Representation through Graph Adversarial Contrastive Learning. (26%)Jiayan Guo; Shangyang Li; Yue Zhao; Yan Zhang UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs. (16%)Philipp Oberdiek; Gernot A. Fink; Matthias Rottmann Few-Shot Backdoor Attacks on Visual Object Tracking. (10%)Yiming Li; Haoxiang Zhong; Xingjun Ma; Yong Jiang; Shu-Tao Xia Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors. (5%)Pedro Miguel Sánchez Sánchez; Alberto Huertas Celdrán; Timo Schenk; Adrian Lars Benjamin Iten; Gérôme Bovet; Gregorio Martínez Pérez; Burkhard Stiller Securing Federated Sensitive Topic Classification against Poisoning Attacks. (1%)Tianyue Chu; Alvaro Garcia-Recuero; Costas Iordanou; Georgios Smaragdakis; Nikolaos Laoutaris 2022-01-30 Improving Corruption and Adversarial Robustness by Enhancing Weak Subnets. (92%)Yong Guo; David Stutz; Bernt Schiele GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. (84%)Chenhui Deng; Xiuyu Li; Zhuo Feng; Zhiru Zhang TPC: Transformation-Specific Smoothing for Point Cloud Models. (75%)Wenda Chu; Linyi Li; Bo Li 2022-01-29 Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. (99%)Mengting Xu; Tao Zhang; Zhongnian Li; Daoqiang Zhang Robustness of Deep Recommendation Systems to Untargeted Interaction Perturbations. (82%)Sejoon Oh; Srijan Kumar Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. (1%)Jeongyeol Kwon; Yonathan Efroni; Constantine Caramanis; Shie Mannor 2022-01-28 Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning. (87%)Jie Zhang; Lei Zhang; Gang Li; Chao Wu Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods. (81%)Raoul Schönhof; Artem Werner; Jannes Elstner; Boldizsar Zopcsak; Ramez Awad; Marco Huber Certifying Model Accuracy under Distribution Shifts. (74%)Aounon Kumar; Alexander Levine; Tom Goldstein; Soheil Feizi Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions. (13%)Jiachen Sun; Qingzhao Zhang; Bhavya Kailkhura; Zhiding Yu; Chaowei Xiao; Z. Morley Mao Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks. (8%)Lukas Struppek; Dominik Hintersdorf; Antonio De Almeida Correia; Antonia Adler; Kristian Kersting Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire. (3%)Siddhartha Datta; Nigel Shadbolt Toward Training at ImageNet Scale with Differential Privacy. (1%)Alexey Kurakin; Shuang Song; Steve Chien; Roxana Geambasu; Andreas Terzis; Abhradeep Thakurta 2022-01-27 Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains. (99%)Qilong Zhang; Xiaodan Li; Yuefeng Chen; Jingkuan Song; Lianli Gao; Yuan He; Hui Xue Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities. (10%)Xin Du; Benedicte Legastelois; Bhargavi Ganesh; Ajitha Rajan; Hana Chockler; Vaishak Belle; Stuart Anderson; Subramanian Ramamoorthy SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. (2%)Tianshuo Cong; Xinlei He; Yang Zhang CacheFX: A Framework for Evaluating Cache Security. (1%)Daniel Genkin; William Kosasih; Fangfei Liu; Anna Trikalinou; Thomas Unterluggauer; Yuval Yarom 2022-01-26 Boosting 3D Adversarial Attacks with Attacking On Frequency. (98%)Binbin Liu; Jinlai Zhang; Lyujie Chen; Jihong Zhu How Robust are Discriminatively Trained Zero-Shot Learning Models? (98%)Mehmet Kerim Yucel; Ramazan Gokberk Cinbis; Pinar Duygulu Autonomous Cyber Defense Introduces Risk: Can We Manage the Risk? (2%)Alexandre K. Ligo; Alexander Kott; Igor Linkov Automatic detection of access control vulnerabilities via API specification processing. (1%)Alexander Barabanov; Denis Dergunov; Denis Makrushin; Aleksey Teplov 2022-01-25 Virtual Adversarial Training for Semi-supervised Breast Mass Classification. (3%)Xuxin Chen; Ximin Wang; Ke Zhang; Kar-Ming Fung; Theresa C. Thai; Kathleen Moore; Robert S. Mannel; Hong Liu; Bin Zheng; Yuchen Qiu Class-Aware Adversarial Transformers for Medical Image Segmentation. (1%)Chenyu You; Ruihan Zhao; Fenglin Liu; Siyuan Dong; Sandeep Chinchali; Ufuk Topcu; Lawrence Staib; James S. Duncan SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training. (1%)Wenyong Huang; Zhenhe Zhang; Yu Ting Yeung; Xin Jiang; Qun Liu 2022-01-24 What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. (99%)Yijun Yang; Ruiyuan Gao; Yu Li; Qiuxia Lai; Qiang Xu Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation. (95%)Zayd Hammoudeh; Daniel Lowd Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. (76%)Zilong Zhao; Jiyue Huang; Stefanie Roos; Lydia Y. Chen Backdoor Defense with Machine Unlearning. (33%)Yang Liu; Mingyuan Fan; Cen Chen; Ximeng Liu; Zhuo Ma; Li Wang; Jianfeng Ma On the Complexity of Attacking Elliptic Curve Based Authentication Chips. (1%)Ievgen Kabin; Zoya Dyka; Dan Klann; Jan Schaeffner; Peter Langendoerfer 2022-01-23 Efficient and Robust Classification for Sparse Attacks. (83%)Mark Beliaev; Payam Delgosha; Hamed Hassani; Ramtin Pedarsani Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning. (78%)Chenghao Fan; Ziao Li; Wei wei Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models. (56%)Shagufta Mehnaz; Sayanton V. Dibbo; Ehsanul Kabir; Ninghui Li; Elisa Bertino Increasing the Cost of Model Extraction with Calibrated Proof of Work. (22%)Adam Dziedzic; Muhammad Ahmad Kaleem; Yu Shen Lu; Nicolas Papernot 2022-01-22 Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. (99%)Siyuan Liang; Baoyuan Wu; Yanbo Fan; Xingxing Wei; Xiaochun Cao Robust Unpaired Single Image Super-Resolution of Faces. (98%)Saurabh Goswami; Rajagopalan A. N On the Robustness of Counterfactual Explanations to Adverse Perturbations. (10%)Marco Virgolin; Saverio Fracaros 2022-01-21 Robust Unsupervised Graph Representation Learning via Mutual Information Maximization. (99%)Jihong Wang; Minnan Luo; Jundong Li; Ziqi Liu; Jun Zhou; Qinghua Zheng Natural Attack for Pre-trained Models of Code. (99%)Zhou Yang; Jieke Shi; Junda He; David Lo The Security of Deep Learning Defences for Medical Imaging. (80%)Moshe Levy; Guy Amit; Yuval Elovici; Yisroel Mirsky Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World. (75%)Hua Ma; Yinshan Li; Yansong Gao; Alsharif Abuadbba; Zhi Zhang; Anmin Fu; Hyoungshick Kim; Said F. Al-Sarawi; Nepal Surya; Derek Abbott Identifying Adversarial Attacks on Text Classifiers. (73%)Zhouhang Xie; Jonathan Brophy; Adam Noack; Wencong You; Kalyani Asthana; Carter Perkins; Sabrina Reis; Sameer Singh; Daniel Lowd The Many Faces of Adversarial Risk. (47%)Muni Sreenivas Pydi; Varun Jog 2022-01-20 TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack. (99%)Zhen Yu; Xiaosen Wang; Wanxiang Che; Kun He Cheating Automatic Short Answer Grading: On the Adversarial Usage of Adjectives and Adverbs. (95%)Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. (93%)Nuria Rodríguez-Barroso; Daniel Jiménez López; M. Victoria Luzón; Francisco Herrera; Eugenio Martínez-Cámara Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples. (83%)Haidong Xie; Jia Tan; Xiaoying Zhang; Nan Ji; Haihua Liao; Zuguo Yu; Xueshuang Xiang; Naijin Liu Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. (70%)Zhen Xiang; David J. Miller; George Kesidis Adversarial Jamming for a More Effective Constellation Attack. (56%)Haidong Xie; Yizhou Xu; Yuanqing Chen; Nan Ji; Shuai Yuan; Naijin Liu; Xueshuang Xiang Black-box Prompt Learning for Pre-trained Language Models. (13%)Shizhe Diao; Zhichao Huang; Ruijia Xu; Xuechun Li; Yong Lin; Xiao Zhou; Tong Zhang Steerable Pyramid Transform Enables Robust Left Ventricle Quantification. (13%)Xiangyang Zhu; Kede Ma; Wufeng Xue DeepGalaxy: Testing Neural Network Verifiers via Two-Dimensional Input Space Exploration. (1%)Xuan Xie; Fuyuan Zhang 2022-01-19 Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. (96%)Sixiao Zhang; Hongxu Chen; Xiangguo Sun; Yicong Li; Guandong Xu Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders. (8%)Zeyang Sha; Xinlei He; Ning Yu; Michael Backes; Yang Zhang 2022-01-18 MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting. (99%)Xudong Pan; Yifan Yan; Mi Zhang; Min Yang Adversarial vulnerability of powerful near out-of-distribution detection. (78%)Stanislav Fort Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning. (13%)Phung Lai; NhatHai Phan; Abdallah Khreishah; Issa Khalil; Xintao Wu Secure IoT Routing: Selective Forwarding Attacks and Trust-based Defenses in RPL Network. (2%)Jun Jiang; Yuhong Liu Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. (1%)Lei Zhou; Joseph Bae; Huidong Liu; Gagandeep Singh; Jeremy Green; Amit Gupta; Dimitris Samaras; Prateek Prasanna 2022-01-17 Masked Faces with Faced Masks. (81%)Jiayi Zhu; Qing Guo; Felix Juefei-Xu; Yihao Huang; Yang Liu; Geguang Pu Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations. (56%)Chris Emmery; Ákos Kádár; Grzegorz Chrupała; Walter Daelemans AugLy: Data Augmentations for Robustness. (3%)Zoe Papakipos; Joanna Bitton 2022-01-16 Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems. (99%)Wei Jia; Zhaojun Lu; Haichun Zhang; Zhenglin Liu; Jie Wang; Gang Qu ALA: Adversarial Lightness Attack via Naturalness-aware Regularizations. (99%)Liangru Sun; Felix Juefei-Xu; Yihao Huang; Qing Guo; Jiayi Zhu; Jincao Feng; Yang Liu; Geguang Pu Adversarial Machine Learning Threat Analysis in Open Radio Access Networks. (33%)Ron Bitton; Dan Avraham; Eitan Klevansky; Dudu Mimran; Oleg Brodt; Heiko Lehmann; Yuval Elovici; Asaf Shabtai Neighboring Backdoor Attacks on Graph Convolutional Network. (22%)Liang Chen; Qibiao Peng; Jintang Li; Yang Liu; Jiawei Chen; Yong Li; Zibin Zheng 2022-01-15 Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. (26%)Yuefei Lyu; Xiaoyu Yang; Jiaxin Liu; Philip S. Yu; Sihong Xie; Xi Zhang StolenEncoder: Stealing Pre-trained Encoders. (13%)Yupei Liu; Jinyuan Jia; Hongbin Liu; Neil Zhenqiang Gong 2022-01-14 CommonsenseQA 2.0: Exposing the Limits of AI through Gamification. (56%)Alon Talmor; Ori Yoran; Ronan Le Bras; Chandra Bhagavatula; Yoav Goldberg; Yejin Choi; Jonathan Berant Security Orchestration, Automation, and Response Engine for Deployment of Behavioural Honeypots. (1%)Upendra Bartwal; Subhasis Mukhopadhyay; Rohit Negi; Sandeep Shukla 2022-01-13 Evaluation of Four Black-box Adversarial Attacks and Some Query-efficient Improvement Analysis. (96%)Rui Wang The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. (93%)Hamed Hassani; Adel Javanmard On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles. (83%)Qingzhao Zhang; Shengtuo Hu; Jiachen Sun; Qi Alfred Chen; Z. Morley Mao Reconstructing Training Data with Informed Adversaries. (54%)Borja Balle; Giovanni Cherubin; Jamie Hayes Jamming Attacks on Federated Learning in Wireless Networks. (2%)Yi Shi; Yalin E. Sagduyu 2022-01-12 Adversarially Robust Classification by Conditional Generative Model Inversion. (99%)Mitra Alirezaei; Tolga Tasdizen Towards Adversarially Robust Deep Image Denoising. (99%)Hanshu Yan; Jingfeng Zhang; Jiashi Feng; Masashi Sugiyama; Vincent Y. F. Tan Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data. (70%)Sunder Ali Khowaja; Ik Hyun Lee; Kapal Dev; Muhammad Aslam Jarwar; Nawab Muhammad Faseeh Qureshi 2022-01-11 Quantifying Robustness to Adversarial Word Substitutions. (99%)Yuting Yang; Pei Huang; FeiFei Ma; Juan Cao; Meishan Zhang; Jian Zhang; Jintao Li Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition. (99%)Hanrui Wang; Shuo Wang; Zhe Jin; Yandan Wang; Cunjian Chen; Massimo Tistarell 2022-01-10 Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics. (98%)Haya Brama; Lihi Dery; Tal Grinshpoun IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification. (89%)Tao Hou; Tao Wang; Zhuo Lu; Yao Liu; Yalin Sagduyu Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. (73%)Himashi Peiris; Zhaolin Chen; Gary Egan; Mehrtash Harandi GMFIM: A Generative Mask-guided Facial Image Manipulation Model for Privacy Preservation. (3%)Mohammad Hossein Khojaste; Nastaran Moradzadeh Farid; Ahmad Nickabadi Towards Group Robustness in the presence of Partial Group Labels. (1%)Vishnu Suresh Lokhande; Kihyuk Sohn; Jinsung Yoon; Madeleine Udell; Chen-Yu Lee; Tomas Pfister 2022-01-09 Rethink Stealthy Backdoor Attacks in Natural Language Processing. (89%)Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi A Retrospective and Futurespective of Rowhammer Attacks and Defenses on DRAM. (76%)Zhi Zhang; Jiahao Qi; Yueqiang Cheng; Shijie Jiang; Yiyang Lin; Yansong Gao; Surya Nepal; Yi Zou Privacy-aware Early Detection of COVID-19 through Adversarial Training. (10%)Omid Rohanian; Samaneh Kouchaki; Andrew Soltan; Jenny Yang; Morteza Rohanian; Yang Yang; David Clifton 2022-01-08 LoMar: A Local Defense Against Poisoning Attack on Federated Learning. (9%)Xingyu Li; Zhe Qu; Shangqing Zhao; Bo Tang; Zhuo Lu; Yao Liu PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++. (1%)Jaewoo Song; Fangzhen Lin 2022-01-07 iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection. (93%)Ramneet Kaur; Susmit Jha; Anirban Roy; Sangdon Park; Edgar Dobriban; Oleg Sokolsky; Insup Lee Asymptotic Security using Bayesian Defense Mechanisms with Application to Cyber Deception. (11%)Hampei Sasahara; Henrik Sandberg Negative Evidence Matters in Interpretable Histology Image Classification. (1%)Soufiane Belharbi; Marco Pedersoli; Ismail Ben Ayed; Luke McCaffrey; Eric Granger 2022-01-06 PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation. (98%)Juncheng Wan; Jian Yang; Shuming Ma; Dongdong Zhang; Weinan Zhang; Yong Yu; Zhoujun Li Learning to be adversarially robust and differentially private. (31%)Jamie Hayes; Borja Balle; M. Pawan Kumar Efficient Global Optimization of Two-layer ReLU Networks: Quadratic-time Algorithms and Adversarial Training. (2%)Yatong Bai; Tanmay Gautam; Somayeh Sojoudi 2022-01-05 On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving. (99%)Giulio Rossolini; Federico Nesti; Gianluca D'Amico; Saasha Nair; Alessandro Biondi; Giorgio Buttazzo ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints. (99%)Amira Guesmi; Khaled N. Khasawneh; Nael Abu-Ghazaleh; Ihsen Alouani Adversarial Robustness in Cognitive Radio Networks. (1%)Makan Zamanipour 2022-01-04 Towards Transferable Unrestricted Adversarial Examples with Minimum Changes. (99%)Fangcheng Liu; Chao Zhang; Hongyang Zhang Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection. (99%)Hui Liu; Bo Zhao; Yuefeng Peng; Weidong Li; Peng Liu On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error. (86%)Fabio Brau; Giulio Rossolini; Alessandro Biondi; Giorgio Buttazzo Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness. (10%)Hieu Le; Hans Walker; Dung Tran; Peter Chin Towards Understanding Quality Challenges of the Federated Learning: A First Look from the Lens of Robustness. (2%)Amin Eslami Abyane; Derui Zhu; Souza Roberto Medeiros de; Lei Ma; Hadi Hemmati 2022-01-03 Compression-Resistant Backdoor Attack against Deep Neural Networks. (75%)Mingfu Xue; Xin Wang; Shichang Sun; Yushu Zhang; Jian Wang; Weiqiang Liu DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection. (68%)Phillip Rieger; Thien Duc Nguyen; Markus Miettinen; Ahmad-Reza Sadeghi Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control. (11%)Aaron Havens; Darioush Keivan; Peter Seiler; Geir Dullerud; Bin Hu 2022-01-02 Actor-Critic Network for Q&A in an Adversarial Environment. (33%)Bejan Sadeghian On Sensitivity of Deep Learning Based Text Classification Algorithms to Practical Input Perturbations. (12%)Aamir Miyajiwala; Arnav Ladkat; Samiksha Jagadale; Raviraj Joshi 2022-01-01 Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. (87%)Hao Yang; Min Wang; Zhengfei Yu; Yun Zhou Revisiting Neuron Coverage Metrics and Quality of Deep Neural Networks. (41%)Zhou Yang; Jieke Shi; Muhammad Hilmi Asyrofi; David Lo Generating Adversarial Samples For Training Wake-up Word Detection Systems Against Confusing Words. (1%)Haoxu Wang; Yan Jia; Zeqing Zhao; Xuyang Wang; Junjie Wang; Ming Li 2021-12-31 Adversarial Attack via Dual-Stage Network Erosion. (99%)Yexin Duan; Junhua Zou; Xingyu Zhou; Wu Zhang; Jin Zhang; Zhisong Pan On Distinctive Properties of Universal Perturbations. (83%)Sung Min Park; Kuo-An Wei; Kai Xiao; Jerry Li; Aleksander Madry 2021-12-30 Benign Overfitting in Adversarially Robust Linear Classification. (99%)Jinghui Chen; Yuan Cao; Quanquan Gu Causal Attention for Interpretable and Generalizable Graph Classification. (1%)Yongduo Sui; Xiang Wang; Jiancan Wu; Min Lin; Xiangnan He; Tat-Seng Chua 2021-12-29 Invertible Image Dataset Protection. (92%)Kejiang Chen; Xianhan Zeng; Qichao Ying; Sheng Li; Zhenxing Qian; Xinpeng Zhang Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning. (4%)Junyu Shi; Wei Wan; Shengshan Hu; Jianrong Lu; Leo Yu Zhang 2021-12-28 Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. (99%)Weiran Lin; Keane Lucas; Lujo Bauer; Michael K. Reiter; Mahmood Sharif Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently. (99%)Futa Waseda; Sosuke Nishikawa; Trung-Nghia Le; Huy H. Nguyen; Isao Echizen Repairing Adversarial Texts through Perturbation. (99%)Guoliang Dong; Jingyi Wang; Jun Sun; Sudipta Chattopadhyay; Xinyu Wang; Ting Dai; Jie Shi; Jin Song Dong DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification. (91%)Aleksandra Ćiprijanović; Diana Kafkes; Gregory Snyder; F. Javier Sánchez; Gabriel Nathan Perdue; Kevin Pedro; Brian Nord; Sandeep Madireddy; Stefan M. Wild Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge. (88%)Kartikeya Bhardwaj; Dibakar Gope; James Ward; Paul Whatmough; Danny Loh A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. (86%)Han Lu; Zenan Li; Runzhong Wang; Qibing Ren; Junchi Yan; Xiaokang Yang Gas Gauge: A Security Analysis Tool for Smart Contract Out-of-Gas Vulnerabilities. (1%)Behkish Nassirzadeh; Huaiying Sun; Sebastian Banescu; Vijay Ganesh 2021-12-27 Adversarial Attack for Asynchronous Event-based Data. (99%)Wooju Lee; Hyun Myung PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. (81%)Apostolos Modas; Rahul Rade; Guillermo Ortiz-Jiménez; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard Associative Adversarial Learning Based on Selective Attack. (26%)Runqi Wang; Xiaoyue Duan; Baochang Zhang; Song Xue; Wentao Zhu; David Doermann; Guodong Guo Learning Robust and Lightweight Model through Separable Structured Transformations. (8%)Yanhui Huang; Yangyu Xu; Xian Wei 2021-12-26 Perlin Noise Improve Adversarial Robustness. (99%)Chengjun Tang; Kun Zhang; Chunfang Xing; Yong Ding; Zengmin Xu 2021-12-25 Task and Model Agnostic Adversarial Attack on Graph Neural Networks. (93%)Kartik Sharma; Samidha Verma; Sourav Medya; Sayan Ranu; Arnab Bhattacharya NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification. (50%)Haibin Zheng; Zhiqing Chen; Tianyu Du; Xuhong Zhang; Yao Cheng; Shouling Ji; Jingyi Wang; Yue Yu; Jinyin Chen 2021-12-24 Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping. (99%)Behnam Ghavami; Seyd Movi; Zhenman Fang; Lesley Shannon NIP: Neuron-level Inverse Perturbation Against Adversarial Attacks. (98%)Ruoxi Chen; Haibo Jin; Jinyin Chen; Haibin Zheng; Yue Yu; Shouling Ji CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing. (82%)Haibo Jin; Ruoxi Chen; Jinyin Chen; Yao Cheng; Chong Fu; Ting Wang; Yue Yu; Zhaoyan Ming SoK: A Study of the Security on Voice Processing Systems. (9%)Robert Chang; Logan Kuo; Arthur Liu; Nader Sehatbakhsh DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning. (1%)Ismat Jarin; Birhanu Eshete Gradient Leakage Attack Resilient Deep Learning. (1%)Wenqi Wei; Ling Liu 2021-12-23 Adaptive Modeling Against Adversarial Attacks. (99%)Zhiwen Yan; Teck Khim Ng Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. (99%)Yihua Zhang; Guanhua Zhang; Prashant Khanduri; Mingyi Hong; Shiyu Chang; Sijia Liu Robust Secretary and Prophet Algorithms for Packing Integer Programs. (2%)C. J. Argue; Anupam Gupta; Marco Molinaro; Sahil Singla Counterfactual Memorization in Neural Language Models. (2%)Chiyuan Zhang; Daphne Ippolito; Katherine Lee; Matthew Jagielski; Florian Tramèr; Nicholas Carlini 2021-12-22 Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art. (99%)Xiang Ling; Lingfei Wu; Jiangyu Zhang; Zhenqing Qu; Wei Deng; Xiang Chen; Yaguan Qian; Chunming Wu; Shouling Ji; Tianyue Luo; Jingzheng Wu; Yanjun Wu How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? (98%)Xinhsuai Dong; Luu Anh Tuan; Min Lin; Shuicheng Yan; Hanwang Zhang Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems. (98%)Islam Debicha; Thibault Debatty; Jean-Michel Dricot; Wim Mees; Tayeb Kenaza Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies. (96%)Aizaz Sharif; Dusica Marijan Understanding and Measuring Robustness of Multimodal Learning. (69%)Nishant Vishwamitra; Hongxin Hu; Ziming Zhao; Long Cheng; Feng Luo Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment. (41%)Aizaz Sharif; Dusica Marijan 2021-12-21 A Theoretical View of Linear Backpropagation and Its Convergence. (99%)Ziang Li; Yiwen Guo; Haodi Liu; Changshui Zhang An Attention Score Based Attacker for Black-box NLP Classifier. (91%)Yueyang Liu; Hunmin Lee; Zhipeng Cai Covert Communications via Adversarial Machine Learning and Reconfigurable Intelligent Surfaces. (81%)Brian Kim; Tugba Erpek; Yalin E. Sagduyu; Sennur Ulukus Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems. (76%)Andrea Stocco; Brian Pulfer; Paolo Tonella Input-Specific Robustness Certification for Randomized Smoothing. (68%)Ruoxin Chen; Jie Li; Junchi Yan; Ping Li; Bin Sheng Improving Robustness with Image Filtering. (68%)Matteo Terzi; Mattia Carletti; Gian Antonio Susto On the Adversarial Robustness of Causal Algorithmic Recourse. (10%)Ricardo Dominguez-Olmedo; Amir-Hossein Karimi; Bernhard Schölkopf MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input-Adaptation. (4%)Zhongzhi Yu; Yonggan Fu; Sicheng Li; Chaojian Li; Yingyan Lin Exploring Credibility Scoring Metrics of Perception Systems for Autonomous Driving. (2%)Viren Khandal; Arth Vidyarthi Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction. (2%)Kailun Wu; Zhangming Chan; Weijie Bian; Lejian Ren; Shiming Xiang; Shuguang Han; Hongbo Deng; Bo Zheng Longitudinal Study of the Prevalence of Malware Evasive Techniques. (1%)Lorenzo Maffia; Dario Nisi; Platon Kotzias; Giovanni Lagorio; Simone Aonzo; Davide Balzarotti 2021-12-20 Certified Federated Adversarial Training. (98%)Giulio Zizzo; Ambrish Rawat; Mathieu Sinn; Sergio Maffeis; Chris Hankin Energy-bounded Learning for Robust Models of Code. (83%)Nghi D. Q. Bui; Yijun Yu Black-Box Testing of Deep Neural Networks through Test Case Diversity. (82%)Zohreh Aghababaeyan; Manel Abdellatif; Lionel Briand; Ramesh S; Mojtaba Bagherzadeh Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. (80%)Dongfang Li; Baotian Hu; Qingcai Chen; Tujie Xu; Jingcong Tao; Yunan Zhang Adversarially Robust Stability Certificates can be Sample-Efficient. (2%)Thomas T. C. K. Zhang; Stephen Tu; Nicholas M. Boffi; Jean-Jacques E. Slotine; Nikolai Matni 2021-12-19 Initiative Defense against Facial Manipulation. (67%)Qidong Huang; Jie Zhang; Wenbo Zhou; WeimingZhang; Nenghai Yu 2021-12-18 Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. (12%)Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci Android-COCO: Android Malware Detection with Graph Neural Network for Byte- and Native-Code. (1%)Peng Xu 2021-12-17 Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering. (92%)Jiayu Fudan University Ding; Siyuan Fudan University Wang; Qin East China Normal University Chen; Zhongyu Fudan University Wei Deep Bayesian Learning for Car Hacking Detection. (81%)Laha Ale; Scott A. King; Ning Zhang Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. (81%)Siddhant Arora; Danish Pruthi; Norman Sadeh; William W. Cohen; Zachary C. Lipton; Graham Neubig Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network. (80%)An Tao; Yueqi Duan; He Wang; Ziyi Wu; Pengliang Ji; Haowen Sun; Jie Zhou; Jiwen Lu Provable Adversarial Robustness in the Quantum Model. (62%)Khashayar Barooti; Grzegorz Głuch; Ruediger Urbanke Domain Adaptation on Point Clouds via Geometry-Aware Implicits. (1%)Yuefan Shen; Yanchao Yang; Mi Yan; He Wang; Youyi Zheng; Leonidas Guibas 2021-12-16 Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning. (99%)Tong Chen; Zhan Ma Addressing Adversarial Machine Learning Attacks in Smart Healthcare Perspectives. (99%)Arawinkumaar Selvakkumar; Shantanu Pal; Zahra Jadidi All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines. (99%)Yuxuan Zhang; Bo Dong; Felix Heide TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations. (64%)Shivangi Aneja; Lev Markhasin; Matthias Niessner A Robust Optimization Approach to Deep Learning. (45%)Dimitris Bertsimas; Xavier Boix; Kimberly Villalobos Carballo; Dick den Hertog Sharpness-Aware Minimization with Dynamic Reweighting. (31%)Wenxuan Zhou; Fangyu Liu; Huan Zhang; Muhao Chen APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts. (16%)Tiantian Zhu; Jinkai Yu; Tieming Chen; Jiayu Wang; Jie Ying; Ye Tian; Mingqi Lv; Yan Chen; Yuan Fan; Ting Wang Dataset correlation inference attacks against machine learning models. (13%)Ana-Maria Creţu; Florent Guépin; Montjoye Yves-Alexandre de Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. (2%)Max Bartolo; Tristan Thrush; Sebastian Riedel; Pontus Stenetorp; Robin Jia; Douwe Kiela Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images. (2%)Shiran Zada; Itay Benou; Michal Irani 2021-12-15 On the Convergence and Robustness of Adversarial Training. (99%)Yisen Wang; Xingjun Ma; James Bailey; Jinfeng Yi; Bowen Zhou; Quanquan Gu Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks. (97%)Jaehui Hwang; Huan Zhang; Jun-Ho Choi; Cho-Jui Hsieh; Jong-Seok Lee DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models. (75%)Hongyu Zhu; Yan Chen; Jing Yan; Jing Liu; Yu Hong; Ying Chen; Hua Wu; Haifeng Wang Robust Neural Network Classification via Double Regularization. (1%)Olof Zetterqvist; Rebecka Jörnsten; Johan Jonasson 2021-12-14 Robustifying automatic speech recognition by extracting slowly varying features. (99%)Matias Pizarro; Dorothea Kolossa; Asja Fischer Adversarial Examples for Extreme Multilabel Text Classification. (99%)Mohammadreza Qaraei; Rohit Babbar Dual-Key Multimodal Backdoors for Visual Question Answering. (81%)Matthew Walmer; Karan Sikka; Indranil Sur; Abhinav Shrivastava; Susmit Jha On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. (76%)Chen Liu; Zhichao Huang; Mathieu Salzmann; Tong Zhang; Sabine Süsstrunk MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. (4%)Lilas Alrahis; Satwik Patnaik; Muhammad Shafique; Ozgur Sinanoglu 2021-12-13 Detecting Audio Adversarial Examples with Logit Noising. (99%)Namgyu Park; Sangwoo Ji; Jong Kim Triangle Attack: A Query-efficient Decision-based Adversarial Attack. (99%)Xiaosen Wang; Zeliang Zhang; Kangheng Tong; Dihong Gong; Kun He; Zhifeng Li; Wei Liu 2021-12-12 Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. (98%)Chun Pong Lau; Jiang Liu; Hossein Souri; Wei-An Lin; Soheil Feizi; Rama Chellappa Quantifying and Understanding Adversarial Examples in Discrete Input Spaces. (91%)Volodymyr Kuleshov; Evgenii Nikishin; Shantanu Thakoor; Tingfung Lau; Stefano Ermon SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. (91%)Ashwinee Panda; Saeed Mahloujifar; Arjun N. Bhagoji; Supriyo Chakraborty; Prateek Mittal WOOD: Wasserstein-based Out-of-Distribution Detection. (12%)Yinan Wang; Wenbo Sun; Jionghua "Judy" Jin; Zhenyu "James" Kong; Xiaowei Yue 2021-12-11 MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. (99%)Muchao Ye; Junyu Luo; Guanjie Zheng; Cao Xiao; Ting Wang; Fenglong Ma Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting. (98%)Junhua Zou; Zhisong Pan; Junyang Qiu; Xin Liu; Ting Rui; Wei Li Stereoscopic Universal Perturbations across Different Architectures and Datasets. (98%)Zachary Berger; Parth Agrawal; Tian Yu Liu; Stefano Soatto; Alex Wong 2021-12-10 Learning to Learn Transferable Attack. (99%)Shuman Fang; Jie Li; Xianming Lin; Rongrong Ji Cross-Modal Transferable Adversarial Attacks from Images to Videos. (99%)Zhipeng Wei; Jingjing Chen; Zuxuan Wu; Yu-Gang Jiang Attacking Point Cloud Segmentation with Color-only Perturbation. (99%)Jiacen Xu; Zhe Zhou; Boyuan Feng; Yufei Ding; Zhou Li Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. (92%)Seungyong Moon; Gaon An; Hyun Oh Song Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning. (75%)Yang Liu; Tianyuan Zou; Yan Kang; Wenhan Liu; Yuanqin He; Zhihao Yi; Qiang Yang Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. (68%)Jialuo Chen; Jingyi Wang; Tinglan Peng; Youcheng Sun; Peng Cheng; Shouling Ji; Xingjun Ma; Bo Li; Dawn Song Efficient Action Poisoning Attacks on Linear Contextual Bandits. (67%)Guanlin Liu; Lifeng Lai How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. (41%)Kritika Prakash; Fiza Husain; Praveen Paruchuri; Sujit P. Gujar SoK: On the Security & Privacy in Federated Learning. (5%)Gorka Abad; Stjepan Picek; Aitor Urbieta 2021-12-09 RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit. (99%)Viet Quoc Vo; Ehsan Abbasnejad; Damith C. Ranasinghe Amicable Aid: Turning Adversarial Attack to Benefit Classification. (99%)Juyeop Kim; Jun-Ho Choi; Soobeom Jang; Jong-Seok Lee Mutual Adversarial Training: Learning together is better than going alone. (99%)Jiang Liu; Chun Pong Lau; Hossein Souri; Soheil Feizi; Rama Chellappa PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function. (99%)Manaar Alam; Shubhajit Datta; Debdeep Mukhopadhyay; Arijit Mondal; Partha Pratim Chakrabarti Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures. (69%)Eugene Bagdasaryan; Vitaly Shmatikov Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. (38%)Saber Jafarpour; Matthew Abate; Alexander Davydov; Francesco Bullo; Samuel Coogan PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. (10%)Dan Hendrycks; Andy Zou; Mantas Mazeika; Leonard Tang; Dawn Song; Jacob Steinhardt Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems. (2%)Jiankai Jin; Eleanor McMurtry; Benjamin I. P. Rubinstein; Olga Ohrimenko 3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection. (1%)Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Mohammad-Ali Nikouei Mahani; Nassir Navab; Benjamin Busam; Federico Tombari 2021-12-08 Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. (99%)Jiang Liu; Alexander Levine; Chun Pong Lau; Rama Chellappa; Soheil Feizi On visual self-supervision and its effect on model robustness. (99%)Michal Kucer; Diane Oyen; Garrett Kenyon SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization. (93%)Wenbo Gou; Wen Shi; Jian Lou; Lijie Huang; Pan Zhou; Ruixuan Li Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework. (8%)Ching-Yun Ko; Jeet Mohapatra; Sijia Liu; Pin-Yu Chen; Luca Daniel; Lily Weng 2021-12-07 Saliency Diversified Deep Ensemble for Robustness to Adversaries. (99%)Alex Bogun; Dimche Kostadinov; Damian Borth Vehicle trajectory prediction works, but not everywhere. (50%)Mohammadhossein Bahari; Saeed Saadatnejad; Ahmad Rahimi; Mohammad Shaverdikondori; Mohammad Shahidzadeh; Seyed-Mohsen Moosavi-Dezfooli; Alexandre Alahi Lightning: Striking the Secure Isolation on GPU Clouds with Transient Hardware Faults. (11%)Rihui Sun; Pefei Qiu; Yongqiang Lyu; Donsheng Wang; Jiang Dong; Gang Qu Membership Inference Attacks From First Principles. (2%)Nicholas Carlini; Steve Chien; Milad Nasr; Shuang Song; Andreas Terzis; Florian Tramer Training Deep Models to be Explained with Fewer Examples. (1%)Tomoharu Iwata; Yuya Yoshikawa Presentation Attack Detection Methods based on Gaze Tracking and Pupil Dynamic: A Comprehensive Survey. (1%)Jalil Nourmohammadi Khiarak 2021-12-06 Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review. (99%)Huda Ali Alatwi; Charles Morisset Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. (84%)Yucheng Shi; Yahong Han; Yu-an Tan; Xiaohui Kuang ML Attack Models: Adversarial Attacks and Data Poisoning Attacks. (82%)Jing Lin; Long Dang; Mohamed Rahouti; Kaiqi Xiong Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. (82%)Xi Li; Zhen Xiang; David J. Miller; George Kesidis When the Curious Abandon Honesty: Federated Learning Is Not Private. (68%)Franziska Boenisch; Adam Dziedzic; Roei Schuster; Ali Shahin Shamsabadi; Ilia Shumailov; Nicolas Papernot Defending against Model Stealing via Verifying Embedded External Features. (33%)Yiming Li; Linghui Zhu; Xiaojun Jia; Yong Jiang; Shu-Tao Xia; Xiaochun Cao Context-Aware Transfer Attacks for Object Detection. (1%)Zikui Cai; Xinxin Xie; Shasha Li; Mingjun Yin; Chengyu Song; Srikanth V. Krishnamurthy; Amit K. Roy-Chowdhury; M. Salman Asif 2021-12-05 Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models. (96%)Yuejun Guo; Qiang Hu; Maxime Cordy; Mike Papadakis; Yves Le Traon Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness. (88%)Konstantinos P. Panousis; Sotirios Chatzis; Sergios Theodoridis Beyond Robustness: Resilience Verification of Tree-Based Classifiers. (2%)Stefano Calzavara; Lorenzo Cazzaro; Claudio Lucchese; Federico Marcuzzi; Salvatore Orlando On Impact of Semantically Similar Apps in Android Malware Datasets. (1%)Roopak Surendran 2021-12-04 RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather. (10%)Jialu Wang; Muhamad Risqi U. Saputra; Chris Xiaoxuan Lu; Niki Trigon; Andrew Markham 2021-12-03 Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach. (99%)James Lee Hu; Mohammadreza Ebrahimi; Hsinchun Chen Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. (99%)Bhagyashree Puranik; Upamanyu Madhow; Ramtin Pedarsani Blackbox Untargeted Adversarial Testing of Automatic Speech Recognition Systems. (98%)Xiaoliang Wu; Ajitha Rajan Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models. (54%)Tochukwu Idika; Ismail Akturk Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. (13%)Andrew Du; Yee Wei Law; Michele Sasdelli; Bo Chen; Ken Clarke; Michael Brown; Tat-Jun Chin A Game-Theoretic Approach for AI-based Botnet Attack Defence. (9%)Hooman Alavizadeh; Julian Jang-Jaccard; Tansu Alpcan; Seyit A. Camtepe 2021-12-02 A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space. (99%)Thibault Simonetto; Salijona Dyrmishi; Salah Ghamizi; Maxime Cordy; Yves Le Traon Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? (93%)Ayesha Siddique; Khaza Anuarul Hoque Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness? (75%)Peter Lorenz; Dominik Strassel; Margret Keuper; Janis Keuper Training Efficiency and Robustness in Deep Learning. (41%)Fartash Faghri FedRAD: Federated Robust Adaptive Distillation. (10%)Stefán Páll Sturluson; Samuel Trew; Luis Muñoz-González; Matei Grama; Jonathan Passerat-Palmbach; Daniel Rueckert; Amir Alansary FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. (3%)Yu Feng; Benteng Ma; Jing Zhang; Shanshan Zhao; Yong Xia; Dacheng Tao On the Existence of the Adversarial Bayes Classifier (Extended Version). (2%)Pranjal Awasthi; Natalie S. Frank; Mehryar Mohri Editing a classifier by rewriting its prediction rules. (1%)Shibani Santurkar; Dimitris Tsipras; Mahalaxmi Elango; David Bau; Antonio Torralba; Aleksander Madry 2021-12-01 Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. (99%)Siyu Wang; Yuanjiang Cao; Xiaocong Chen; Lina Yao; Xianzhi Wang; Quan Z. Sheng Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness. (99%)Jia-Li Yin; Lehui Xie; Wanqing Zhu; Ximeng Liu; Bo-Hao Chen $\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training. (99%)Hadi M. Dolatabadi; Sarah Erfani; Christopher Leckie Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines. (96%)Jiachen Sun; Akshay Mehra; Bhavya Kailkhura; Pin-Yu Chen; Dan Hendrycks; Jihun Hamm; Z. Morley Mao Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation. (95%)Tianyue Zheng; Zhe Chen; Shuya Ding; Chao Cai; Jun Luo Robustness in Deep Learning for Computer Vision: Mind the gap? (31%)Nathan Drenkow; Numair Sani; Ilya Shpitser; Mathias Unberath CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning. (1%)Aidan Boyd; Patrick Tinsley; Kevin Bowyer; Adam Czajka 2021-11-30 Using a GAN to Generate Adversarial Examples to Facial Image Recognition. (99%)Andrew Merrigan; Alan F. Smeaton Mitigating Adversarial Attacks by Distributing Different Copies to Different Users. (86%)Jiyi Zhang; Wesley Joon-Wie Tann; Ee-Chien Chang Human Imperceptible Attacks and Applications to Improve Fairness. (83%)Xinru Hua; Huanzhong Xu; Jose Blanchet; Viet Nguyen Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. (81%)Yangsibo Huang; Samyak Gupta; Zhao Song; Kai Li; Sanjeev Arora FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection. (78%)Nikolaos Dionelis COREATTACK: Breaking Up the Core Structure of Graphs. (78%)Bo Zhou; Yuqian Lv; Jinhuan Wang; Jian Zhang; Qi Xuan Adversarial Attacks Against Deep Generative Models on Data: A Survey. (12%)Hui Sun; Tianqing Zhu; Zhiqiu Zhang; Dawei Jin. Ping Xiong; Wanlei Zhou A Face Recognition System's Worst Morph Nightmare, Theoretically. (1%)Una M. Kelly; Raymond Veldhuis; Luuk Spreeuwers New Datasets for Dynamic Malware Classification. (1%)Berkant Düzgün; Aykut Çayır; Ferhat Demirkıran; Ceyda Nur Kayha; Buket Gençaydın; Hasan Dağ Reliability Assessment and Safety Arguments for Machine Learning Components in Assuring Learning-Enabled Autonomous Systems. (1%)Xingyu Zhao; Wei Huang; Vibhav Bharti; Yi Dong; Victoria Cox; Alec Banks; Sen Wang; Sven Schewe; Xiaowei Huang 2021-11-29 MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack. (99%)Mengting Xu; Tao Zhang; Daoqiang Zhang Adversarial Attacks in Cooperative AI. (82%)Ted Fujimoto; Arthur Paul Pedersen Living-Off-The-Land Command Detection Using Active Learning. (10%)Talha Ongun; Jack W. Stokes; Jonathan Bar Or; Ke Tian; Farid Tajaddodianfar; Joshua Neil; Christian Seifert; Alina Oprea; John C. Platt Exploring Representational Alignment with Human Perception Using Identically Represented Inputs. (4%)Vedant Nanda; Ayan Majumdar; Camila Kolling; John P. Dickerson; Krishna P. Gummadi; Bradley C. Love; Adrian Weller A Simple Long-Tailed Recognition Baseline via Vision-Language Model. (1%)Teli Ma; Shijie Geng; Mengmeng Wang; Jing Shao; Jiasen Lu; Hongsheng Li; Peng Gao; Yu Qiao ROBIN : A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts. (1%)Bingchen Zhao; Shaozuo Yu; Wufei Ma; Mingxin Yu; Shenxiao Mei; Angtian Wang; Ju He; Alan Yuille; Adam Kortylewski Pyramid Adversarial Training Improves ViT Performance. (1%)Charles Herrmann; Kyle Sargent; Lu Jiang; Ramin Zabih; Huiwen Chang; Ce Liu; Dilip Krishnan; Deqing Sun 2021-11-28 Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images. (96%)Dvij Kalaria; Aritra Hazra; Partha Pratim Chakrabarti MALIGN: Adversarially Robust Malware Family Detection using Sequence Alignment. (54%)Shoumik Saha; Sadia Afroz; Atif Rahman Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. (1%)Fuxun Yu; Shawn Bray; Di Wang; Longfei Shangguan; Xulong Tang; Chenchen Liu; Xiang Chen ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification. (1%)Zhibo Zhang; Jongseong Jang; Chiheb Trabelsi; Ruiwen Li; Scott Sanner; Yeonjeong Jeong; Dongsub Shim 2021-11-27 Adaptive Image Transformations for Transfer-based Adversarial Attack. (99%)Zheng Yuan; Jie Zhang; Shiguang Shan Adaptive Perturbation for Adversarial Attack. (99%)Zheng Yuan; Jie Zhang; Shiguang Shan Statically Detecting Adversarial Malware through Randomised Chaining. (98%)Matthew Crawford; Wei Wang; Ruoxi Sun; Minhui Xue Dissecting Malware in the Wild. (1%)Hamish Spencer; Wei Wang; Ruoxi Sun; Minhui Xue 2021-11-26 ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks. (50%)Hua Qi; Zhijie Wang; Qing Guo; Jianlang Chen; Felix Juefei-Xu; Lei Ma; Jianjun Zhao 2021-11-25 AdvBokeh: Learning to Adversarially Defocus Blur. (99%)Yihao Huang; Felix Juefei-Xu; Qing Guo; Weikai Miao; Yang Liu; Geguang Pu Clustering Effect of (Linearized) Adversarial Robust Models. (97%)Yang Bai; Xin Yan; Yong Jiang; Shu-Tao Xia; Yisen Wang Simple Contrastive Representation Adversarial Learning for NLP Tasks. (93%)Deshui Miao; Jiaqi Zhang; Wenbo Xie; Jian Song; Xin Li; Lijuan Jia; Ning Guo Going Grayscale: The Road to Understanding and Improving Unlearnable Examples. (92%)Zhuoran Liu; Zhengyu Zhao; Alex Kolmus; Tijn Berns; Laarhoven Twan van; Tom Heskes; Martha Larson Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks. (92%)Xiangyu Qi; Tinghao Xie; Ruizhe Pan; Jifeng Zhu; Yong Yang; Kai Bu Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning. (3%)Sanjay Kariyappa; Moinuddin K Qureshi Joint inference and input optimization in equilibrium networks. (1%)Swaminathan Gurumurthy; Shaojie Bai; Zachary Manchester; J. Zico Kolter 2021-11-24 Thundernna: a white box adversarial attack. (99%)Linfeng Ye Unity is strength: Improving the Detection of Adversarial Examples with Ensemble Approaches. (99%)Francesco Craighero; Fabrizio Angaroni; Fabio Stella; Chiara Damiani; Marco Antoniotti; Alex Graudenzi Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity. (92%)Bernardo Aquino; Arash Rahnama; Peter Seiler; Lizhen Lin; Vijay Gupta WFDefProxy: Modularly Implementing and Empirically Evaluating Website Fingerprinting Defenses. (15%)Jiajun Gong; Wuqi Zhang; Charles Zhang; Tao Wang Sharpness-aware Quantization for Deep Neural Networks. (9%)Jing Liu; Jianfei Cai; Bohan Zhuang SLA$^2$P: Self-supervised Anomaly Detection with Adversarial Perturbation. (5%)Yizhou Wang; Can Qin; Rongzhe Wei; Yi Xu; Yue Bai; Yun Fu An Attack on Facial Soft-biometric Privacy Enhancement. (2%)Dailé Osorio-Roig; Christian Rathgeb; Pawel Drozdowski; Philipp Terhörst; Vitomir Štruc; Christoph Busch Accelerating Deep Learning with Dynamic Data Pruning. (1%)Ravi S Raju; Kyle Daruwalla; Mikko Lipasti 2021-11-23 Adversarial machine learning for protecting against online manipulation. (92%)Stefano Cresci; Marinella Petrocchi; Angelo Spognardi; Stefano Tognazzi Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS. (84%)Witt Christian Schroeder de; Yongchao Huang; Philip H. S. Torr; Martin Strohmeier Subspace Adversarial Training. (69%)Tao Li; Yingwen Wu; Sizhe Chen; Kun Fang; Xiaolin Huang HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance. (1%)Huanrui Yang; Xiaoxuan Yang; Neil Zhenqiang Gong; Yiran Chen 2021-11-22 Adversarial Examples on Segmentation Models Can be Easy to Transfer. (99%)Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip Torr Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. (99%)Utku Ozbulak; Maura Pintor; Messem Arnout Van; Neve Wesley De Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification. (99%)Daizong Liu; Wei Hu Backdoor Attack through Frequency Domain. (92%)Tong Wang; Yuan Yao; Feng Xu; Shengwei An; Hanghang Tong; Ting Wang NTD: Non-Transferability Enabled Backdoor Detection. (69%)Yinshan Li; Hua Ma; Zhi Zhang; Yansong Gao; Alsharif Abuadbba; Anmin Fu; Yifeng Zheng; Said F. Al-Sarawi; Derek Abbott A Comparison of State-of-the-Art Techniques for Generating Adversarial Malware Binaries. (33%)Prithviraj Dasgupta; Zachariah Osman Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data. (13%)Yongji Wu; Xiaoyu Cao; Jinyuan Jia; Neil Zhenqiang Gong Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. (1%)Yifan Gong; Geng Yuan; Zheng Zhan; Wei Niu; Zhengang Li; Pu Zhao; Yuxuan Cai; Sijia Liu; Bin Ren; Xue Lin; Xulong Tang; Yanzhi Wang Electric Vehicle Attack Impact on Power Grid Operation. (1%)Mohammad Ali Sayed; Ribal Atallah; Chadi Assi; Mourad Debbabi 2021-11-21 Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. (99%)Yifeng Xiong; Jiadong Lin; Min Zhang; John E. Hopcroft; Kun He Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model. (99%)Alon Zolfi; Shai Avidan; Yuval Elovici; Asaf Shabtai Medical Aegis: Robust adversarial protectors for medical images. (99%)Qingsong Yao; Zecheng He; S. Kevin Zhou Local Linearity and Double Descent in Catastrophic Overfitting. (73%)Varun Sivashankar; Nikil Selvam Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks. (62%)Kaiyuan Liu; Xingyu Li; Yi Zhou; Jisong Guan; Yurui Lai; Ge Zhang; Hang Su; Jiachen Wang; Chunxu Guo 2021-11-20 Are Vision Transformers Robust to Patch Perturbations? (98%)Jindong Gu; Volker Tresp; Yao Qin 2021-11-19 Zero-Shot Certified Defense against Adversarial Patches with Vision Transformers. (99%)Yuheng Huang; Yuanchun Li Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method. (99%)Tao Bai; Jun Zhao; Jinlin Zhu; Shoudong Han; Jiefeng Chen; Bo Li; Alex Kot Meta Adversarial Perturbations. (99%)Chia-Hung Yuan; Pin-Yu Chen; Chia-Mu Yu Resilience from Diversity: Population-based approach to harden models against adversarial attacks. (99%)Jasser Jasser; Ivan Garibay Enhanced countering adversarial attacks via input denoising and feature restoring. (99%)Yanni Li; Wenhui Zhang; Jiawei Liu; Xiaoli Kou; Hui Li; Jiangtao Cui Fooling Adversarial Training with Inducing Noise. (98%)Zhirui Wang; Yifei Wang; Yisen Wang Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks. (86%)Wei Wang; Ruoxi Sun; Tian Dong; Shaofeng Li; Minhui Xue; Gareth Tyson; Haojin Zhu 2021-11-18 TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. (99%)Bao Gia Doan; Minhui Xue; Shiqing Ma; Ehsan Abbasnejad; Damith C. Ranasinghe A Review of Adversarial Attack and Defense for Classification Methods. (99%)Yao Li; Minhao Cheng; Cho-Jui Hsieh; Thomas C. M. Lee Robust Person Re-identification with Multi-Modal Joint Defence. (98%)Yunpeng Gong; Lifei Chen Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning. (96%)Daniel Gibert; Matt Fredrikson; Carles Mateu; Jordi Planes; Quan Le How to Build Robust FAQ Chatbot with Controllable Question Generator? (80%)Yan Pan; Mingyang Ma; Bernhard Pflugfelder; Georg Groh Adversarial attacks on voter model dynamics in complex networks. (76%)Katsumi Chiyomaru; Kazuhiro Takemoto Enhanced Membership Inference Attacks against Machine Learning Models. (12%)Jiayuan Ye; Aadyaa Maddi; Sasi Kumar Murakonda; Reza Shokri Wiggling Weights to Improve the Robustness of Classifiers. (2%)Sadaf Gulshad; Ivan Sosnovik; Arnold Smeulders Improving Transferability of Representations via Augmentation-Aware Self-Supervision. (1%)Hankook Lee; Kibok Lee; Kimin Lee; Honglak Lee; Jinwoo Shin 2021-11-17 TraSw: Tracklet-Switch Adversarial Attacks against Multi-Object Tracking. (99%)Delv Lin; Qi Chen; Chengyu Zhou; Kun He Generating Unrestricted 3D Adversarial Point Clouds. (99%)Xuelong Dai; Yanjie Li; Hua Dai; Bin Xiao SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. (93%)Jongheon Jeong; Sejun Park; Minkyu Kim; Heung-Chang Lee; Doguk Kim; Jinwoo Shin Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation. (92%)Mehdi Sadi; B. M. S. Bahar Talukder; Kaniz Mishty; Md Tauhidur Rahman Do Not Trust Prediction Scores for Membership Inference Attacks. (33%)Dominik Hintersdorf; Lukas Struppek; Kristian Kersting 2021-11-16 Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks. (99%)Adaku Uchendu; Daniel Campoy; Christopher Menart; Alexandra Hildenbrandt Improving the robustness and accuracy of biomedical language models through adversarial training. (99%)Milad Moradi; Matthias Samwald Detecting AutoAttack Perturbations in the Frequency Domain. (99%)Peter Lorenz; Paula Harder; Dominik Strassel; Margret Keuper; Janis Keuper Adversarial Tradeoffs in Linear Inverse Problems and Robust StateEstimation. (92%)Bruce D. Lee; Thomas T. C. K. Zhang; Hamed Hassani; Nikolai Matni Consistent Semantic Attacks on Optical Flow. (81%)Tom Koren; Lior Talker; Michael Dinerstein; Roy J Jevnisek An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences. (54%)Wei Guo; Benedetta Tondi; Mauro Barni Enabling equivariance for arbitrary Lie groups. (1%)Lachlan Ewen MacDonald; Sameera Ramasinghe; Simon Lucey 2021-11-15 A Survey on Adversarial Attacks for Malware Analysis. (98%)Kshitiz Aryal; Maanak Gupta; Mahmoud Abdelsalam Triggerless Backdoor Attack for NLP Tasks with Clean Labels. (68%)Leilei Gan; Jiwei Li; Tianwei Zhang; Xiaoya Li; Yuxian Meng; Fei Wu; Shangwei Guo; Chun Fan Property Inference Attacks Against GANs. (67%)Junhao Zhou; Yufei Chen; Chao Shen; Yang Zhang 2021-11-14 Generating Band-Limited Adversarial Surfaces Using Neural Networks. (99%)Roee Ben-Shlomo; Yevgeniy Men; Ido Imanuel Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks. (76%)Chen Ma; Xiangyu Guo; Li Chen; Jun-Hai Yong; Yisen Wang Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning. (75%)Youxiang Zhu; Bang Tran; Xiaohui Liang; John A. Batsis; Robert M. Roth Improving Compound Activity Classification via Deep Transfer and Representation Learning. (1%)Vishal Dey; Raghu Machiraju; Xia Ning 2021-11-13 Robust and Accurate Object Detection via Self-Knowledge Distillation. (62%)Weipeng Xu; Pengzhi Chu; Renhao Xie; Xiongziyan Xiao; Hongcheng Huang UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. (2%)Lilas Alrahis; Satwik Patnaik; Muhammad Abdullah Hanif; Muhammad Shafique; Ozgur Sinanoglu 2021-11-12 Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. (99%)Joel Dapello; Jenelle Feather; Hang Le; Tiago Marques; David D. Cox; Josh H. McDermott; James J. DiCarlo; SueYeon Chung Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances. (98%)Daniel Steinberg; Paul Munro Adversarially Robust Learning for Security-Constrained Optimal Power Flow. (10%)Priya L. Donti; Aayushya Agarwal; Neeraj Vijay Bedmutha; Larry Pileggi; J. Zico Kolter On Transferability of Prompt Tuning for Natural Language Understanding. (8%)Yusheng Su; Xiaozhi Wang; Yujia Qin; Chi-Min Chan; Yankai Lin; Zhiyuan Liu; Peng Li; Juanzi Li; Lei Hou; Maosong Sun; Jie Zhou A Bayesian Nash equilibrium-based moving target defense against stealthy sensor attacks. (1%)David Umsonst; Serkan Sarıtaş; György Dán; Henrik Sandberg Resilient Consensus-based Multi-agent Reinforcement Learning. (1%)Martin Figura; Yixuan Lin; Ji Liu; Vijay Gupta 2021-11-11 On the Equivalence between Neural Network and Support Vector Machine. (1%)Yilan Chen; Wei Huang; Lam M. Nguyen; Tsui-Wei Weng 2021-11-10 Trustworthy Medical Segmentation with Uncertainty Estimation. (13%)Giuseppina Carannante; Dimah Dera; Nidhal C. Bouaynaya; Ghulam Rasool; Hassan M. Fathallah-Shaykh Robust Learning via Ensemble Density Propagation in Deep Neural Networks. (2%)Giuseppina Carannante; Dimah Dera; Ghulam Rasool; Nidhal C. Bouaynaya; Lyudmila Mihaylova 2021-11-09 Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search. (99%)Pengfei Xia; Ziqiang Li; Bin Li MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. (99%)Muhammad Awais; Fengwei Zhou; Chuanlong Xie; Jiawei Li; Sung-Ho Bae; Zhenguo Li Sparse Adversarial Video Attacks with Spatial Transformations. (98%)Ronghui Mu; Wenjie Ruan; Leandro Soriano Marcolino; Qiang Ni A Statistical Difference Reduction Method for Escaping Backdoor Detection. (97%)Pengfei Xia; Hongjing Niu; Ziqiang Li; Bin Li Data Augmentation Can Improve Robustness. (73%)Sylvestre-Alvise Rebuffi; Sven Gowal; Dan A. Calian; Florian Stimberg; Olivia Wiles; Timothy Mann Are Transformers More Robust Than CNNs? (67%)Yutong Bai; Jieru Mei; Alan Yuille; Cihang Xie 2021-11-08 Geometrically Adaptive Dictionary Attack on Face Recognition. (99%)Junyoung Byun; Hyojun Go; Changick Kim Defense Against Explanation Manipulation. (98%)Ruixiang Tang; Ninghao Liu; Fan Yang; Na Zou; Xia Hu DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. (98%)Adnan Siraj Rakin; Md Hafizul Islam Chowdhuryy; Fan Yao; Deliang Fan On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods. (75%)Paulina Stevia Nouwou Mindom; Amin Nikanjam; Foutse Khomh; John Mullins Get a Model! Model Hijacking Attack Against Machine Learning Models. (69%)Ahmed Salem; Michael Backes; Yang Zhang Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks. (69%)Lijia Yu; Xiao-Shan Gao Characterizing the adversarial vulnerability of speech self-supervised learning. (68%)Haibin Wu; Bo Zheng; Xu Li; Xixin Wu; Hung-yi Lee; Helen Meng HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis. (67%)Tajuddin Manhar Mohammed; Lakshmanan Nataraj; Satish Chikkagoudar; Shivkumar Chandrasekaran; B. S. Manjunath Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. (67%)Qinkai Zheng; Xu Zou; Yuxiao Dong; Yukuo Cen; Da Yin; Jiarong Xu; Yang Yang; Jie Tang BARFED: Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination. (1%)Ece Isik-Polat; Gorkem Polat; Altan Kocyigit 2021-11-07 Generative Dynamic Patch Attack. (99%)Xiang Li; Shihao Ji Natural Adversarial Objects. (81%)Felix Lau; Nishant Subramani; Sasha Harrison; Aerin Kim; Elliot Branson; Rosanne Liu 2021-11-06 "How Does It Detect A Malicious App?" Explaining the Predictions of AI-based Android Malware Detector. (11%)Zhi Lu; Vrizlynn L. L. Thing 2021-11-05 A Unified Game-Theoretic Interpretation of Adversarial Robustness. (98%)Jie Ren; Die Zhang; Yisen Wang; Lu Chen; Zhanpeng Zhou; Yiting Chen; Xu Cheng; Xin Wang; Meng Zhou; Jie Shi; Quanshi Zhang Sequential Randomized Smoothing for Adversarially Robust Speech Recognition. (96%)Raphael Olivier; Bhiksha Raj Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups. (2%)Aidmar Wainakh; Ephraim Zimmer; Sandeep Subedi; Jens Keim; Tim Grube; Shankar Karuppayah; Alejandro Sanchez Guinea; Max Mühlhäuser 2021-11-04 Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. (99%)Boxin Wang; Chejian Xu; Shuohang Wang; Zhe Gan; Yu Cheng; Jianfeng Gao; Ahmed Hassan Awadallah; Bo Li Adversarial Attacks on Graph Classification via Bayesian Optimisation. (87%)Xingchen Wan; Henry Kenlay; Binxin Ru; Arno Blaas; Michael A. Osborne; Xiaowen Dong Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods. (47%)Peru Bhardwaj; John Kelleher; Luca Costabello; Declan O'Sullivan Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles. (3%)Ao Qu; Yihong Tang; Wei Ma 2021-11-03 LTD: Low Temperature Distillation for Robust Adversarial Training. (54%)Erh-Chung Chen; Che-Rung Lee Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. (41%)Sia Huat Tan; Runpei Dong; Kaisheng Ma 2021-11-02 HydraText: Multi-objective Optimization for Adversarial Textual Attack. (99%)Shengcai Liu; Ning Lu; Wenjing Hong; Chao Qian; Ke Tang Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. (96%)Maksym Yatsura; Jan Hendrik Metzen; Matthias Hein Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. (70%)Yujia Huang; Huan Zhang; Yuanyuan Shi; J Zico Kolter; Anima Anandkumar Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness. (68%)Ke Sun; Mingjie Li; Zhouchen Lin Knowledge Cross-Distillation for Membership Privacy. (38%)Rishav Chourasia; Batnyam Enkhtaivan; Kunihiro Ito; Junki Mori; Isamu Teranishi; Hikaru Tsuchida Adversarially Perturbed Wavelet-based Morphed Face Generation. (9%)Kelsey O'Haire; Sobhan Soleymani; Baaria Chaudhary; Poorya Aghdaie; Jeremy Dawson; Nasser M. Nasrabadi 2021-11-01 Graph Structural Attack by Spectral Distance. (93%)Lu Lin; Ethan Blaser; Hongning Wang Availability Attacks Create Shortcuts. (89%)Da Yu; Huishuai Zhang; Wei Chen; Jian Yin; Tie-Yan Liu Robustness of deep learning algorithms in astronomy -- galaxy morphology studies. (83%)A. Ćiprijanović; D. Kafkes; G. N. Perdue; K. Pedro; G. Snyder; F. J. Sánchez; S. Madireddy; S. Wild; B. Nord When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? (69%)Lijie Fan; Sijia Liu; Pin-Yu Chen; Gaoyuan Zhang; Chuang Gan ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. (9%)Dahoon Park; Kon-Woo Kwon; Sunghoon Im; Jaeha Kung 2021-10-31 An Actor-Critic Method for Simulation-Based Optimization. (56%)Kuo Li; Qing-Shan Jia; Jiaqi Yan 2021-10-30 Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. (97%)Anindya Sarkar; Anirban Sarkar; Sowrya Gali; Vineeth N Balasubramanian AdvCodeMix: Adversarial Attack on Code-Mixed Data. (93%)Sourya Dipta Das; Ayan Basak; Soumil Mandal; Dipankar Das Backdoor Pre-trained Models Can Transfer to All. (3%)Lujia Shen; Shouling Ji; Xuhong Zhang; Jinfeng Li; Jing Chen; Jie Shi; Chengfang Fang; Jianwei Yin; Ting Wang 2021-10-29 Attacking Video Recognition Models with Bullet-Screen Comments. (99%)Kai Chen; Zhipeng Wei; Jingjing Chen; Zuxuan Wu; Yu-Gang Jiang Adversarial Robustness with Semi-Infinite Constrained Learning. (92%)Alexander Robey; Luiz F. O. Chamon; George J. Pappas; Hamed Hassani; Alejandro Ribeiro {\epsilon}-weakened Robustness of Deep Neural Networks. (62%)Pei Huang; Yuting Yang; Minghao Liu; Fuqi Jia; Feifei Ma; Jian Zhang You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership. (11%)Xuxi Chen; Tianlong Chen; Zhenyu Zhang; Zhangyang Wang 2021-10-28 Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework. (99%)Lifan Yuan; Yichi Zhang; Yangyi Chen; Wei Wei AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis. (92%)Junfeng Guo; Ang Li; Cong Liu The magnitude vector of images. (1%)Michael F. Adamer; Leslie O'Bray; Brouwer Edward De; Bastian Rieck; Karsten Borgwardt 2021-10-27 Towards Evaluating the Robustness of Neural Networks Learned by Transduction. (98%)Jiefeng Chen; Xi Wu; Yang Guo; Yingyu Liang; Somesh Jha CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. (98%)Haotian Xue; Kaixiong Zhou; Tianlong Chen; Kai Guo; Xia Hu; Yi Chang; Xin Wang Towards Robust Reasoning over Knowledge Graphs. (83%)Zhaohan Xi; Ren Pang; Changjiang Li; Shouling Ji; Xiapu Luo; Xusheng Xiao; Ting Wang Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks. (74%)Hassan Dbouk; Naresh R. Shanbhag Adversarial Neuron Pruning Purifies Backdoored Deep Models. (15%)Dongxian Wu; Yisen Wang From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems. (5%)Yao Zhou; Haonan Wang; Jingrui He; Haixun Wang Robust Contrastive Learning Using Negative Samples with Diminished Semantics. (1%)Songwei Ge; Shlok Mishra; Haohan Wang; Chun-Liang Li; David Jacobs RoMA: Robust Model Adaptation for Offline Model-based Optimization. (1%)Sihyun Yu; Sungsoo Ahn; Le Song; Jinwoo Shin 2021-10-26 Can't Fool Me: Adversarially Robust Transformer for Video Understanding. (99%)Divya Choudhary; Palash Goyal; Saurabh Sahu Frequency Centric Defense Mechanisms against Adversarial Examples. (99%)Sanket B. Shah; Param Raval; Harin Khakhi; Mehul S. Raval ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. (99%)Husheng Han; Kaidi Xu; Xing Hu; Xiaobing Chen; Ling Liang; Zidong Du; Qi Guo; Yanzhi Wang; Yunji Chen Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks. (99%)Yonggan Fu; Qixuan Yu; Yang Zhang; Shang Wu; Xu Ouyang; David Cox; Yingyan Lin FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. (98%)Jingwei Sun; Ang Li; Louis DiValentin; Amin Hassanzadeh; Yiran Chen; Hai Li A Frequency Perspective of Adversarial Robustness. (98%)Shishira R Maiya; Max Ehrlich; Vatsal Agarwal; Ser-Nam Lim; Tom Goldstein; Abhinav Shrivastava Disrupting Deep Uncertainty Estimation Without Harming Accuracy. (86%)Ido Galil; Ran El-Yaniv Improving Local Effectiveness for Global robust training. (83%)Jingyue Lu; M. Pawan Kumar Robustness of Graph Neural Networks at Scale. (76%)Simon Geisler; Tobias Schmidt; Hakan Şirin; Daniel Zügner; Aleksandar Bojchevski; Stephan Günnemann Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions. (75%)Izzat Alsmadi; Kashif Ahmad; Mahmoud Nazzal; Firoj Alam; Ala Al-Fuqaha; Abdallah Khreishah; Abdulelah Algosaibi Adversarial Robustness in Multi-Task Learning: Promises and Illusions. (64%)Salah Ghamizi; Maxime Cordy; Mike Papadakis; Yves Le Traon AugMax: Adversarial Composition of Random Augmentations for Robust Training. (56%)Haotao Wang; Chaowei Xiao; Jean Kossaifi; Zhiding Yu; Anima Anandkumar; Zhangyang Wang Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes. (50%)Sanghyun Hong; Michael-Andrei Panaitescu-Liess; Yiğitcan Kaya; Tudor Dumitraş Semantic Host-free Trojan Attack. (10%)Haripriya Harikumar; Kien Do; Santu Rana; Sunil Gupta; Svetha Venkatesh CAFE: Catastrophic Data Leakage in Vertical Federated Learning. (3%)Xiao Jin; Pin-Yu Chen; Chia-Yi Hsu; Chia-Mu Yu; Tianyi Chen MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. (1%)Geng Yuan; Xiaolong Ma; Wei Niu; Zhengang Li; Zhenglun Kong; Ning Liu; Yifan Gong; Zheng Zhan; Chaoyang He; Qing Jin; Siyue Wang; Minghai Qin; Bin Ren; Yanzhi Wang; Sijia Liu; Xue Lin Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. (1%)Chunjong Park; Anas Awadalla; Tadayoshi Kohno; Shwetak Patel Defensive Tensorization. (1%)Adrian Bulat; Jean Kossaifi; Sourav Bhattacharya; Yannis Panagakis; Timothy Hospedales; Georgios Tzimiropoulos; Nicholas D Lane; Maja Pantic Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware. (1%)Jinting Zhu; Julian Jang-Jaccard; Amardeep Singh; Paul A. Watters; Seyit Camtepe 2021-10-25 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. (99%)Qiyu Kang; Yang Song; Qinxu Ding; Wee Peng Tay Generating Watermarked Adversarial Texts. (99%)Mingjie Li; Hanzhou Wu; Xinpeng Zhang Beyond $L_p$ clipping: Equalization-based Psychoacoustic Attacks against ASRs. (92%)Hadi Abdullah; Muhammad Sajidur Rahman; Christian Peeters; Cassidy Gibson; Washington Garcia; Vincent Bindschaedler; Thomas Shrimpton; Patrick Traynor Fast Gradient Non-sign Methods. (92%)Yaya Cheng; Jingkuan Song; Xiaosu Zhu; Qilong Zhang; Lianli Gao; Heng Tao Shen Ensemble Federated Adversarial Training with Non-IID data. (87%)Shuang Luo; Didi Zhu; Zexi Li; Chao Wu GANash -- A GAN approach to steganography. (81%)Venkatesh Subramaniyan; Vignesh Sivakumar; A. K. Vagheesan; S. Sakthivelan; K. J. Jegadish Kumar; K. K. Nagarajan A Dynamical System Perspective for Lipschitz Neural Networks. (81%)Laurent Meunier; Blaise Delattre; Alexandre Araujo; Alexandre Allauzen An Adaptive Structural Learning of Deep Belief Network for Image-based Crack Detection in Concrete Structures Using SDNET2018. (13%)Shin Kamada; Takumi Ichimura; Takashi Iwasaki 2021-10-24 Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. (80%)Yi Xiang Marcus Tan; Penny Chong; Jiamei Sun; Ngai-man Cheung; Yuval Elovici; Alexander Binder 2021-10-23 ADC: Adversarial attacks against object Detection that evade Context consistency checks. (99%)Mingjun Yin; Shasha Li; Chengyu Song; M. Salman Asif; Amit K. Roy-Chowdhury; Srikanth V. Krishnamurthy A Layer-wise Adversarial-aware Quantization Optimization for Improving Robustness. (81%)Chang Song; Riya Ranjan; Hai Li 2021-10-22 Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations. (99%)Marek Galovic; Branislav Bosansky; Viliam Lisy How and When Adversarial Robustness Transfers in Knowledge Distillation? (91%)Rulin Shao; Jinfeng Yi; Pin-Yu Chen; Cho-Jui Hsieh Fairness Degrading Adversarial Attacks Against Clustering Algorithms. (86%)Anshuman Chhabra; Adish Singla; Prasant Mohapatra Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff. (80%)Adel Javanmard; Mohammad Mehrabi PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy. (15%)Xiaolan Gu; Ming Li; Li Xiong ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI. (15%)Samuel Hess; Gregory Ditzler Spoofing Detection on Hand Images Using Quality Assessment. (1%)Asish Bera; Ratnadeep Dey; Debotosh Bhattacharjee; Mita Nasipuri; Hubert P. H. Shum Text Counterfactuals via Latent Optimization and Shapley-Guided Search. (1%)Quintin Pope; Xiaoli Z. Fern MANDERA: Malicious Node Detection in Federated Learning via Ranking. (1%)Wanchuang Zhu; Benjamin Zi Hao Zhao; Simon Luo; Ke Deng On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning. (1%)Anvith Thudi; Hengrui Jia; Ilia Shumailov; Nicolas Papernot 2021-10-21 CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering. (98%)Amir Hosein Afandizadeh Zargari; Marzieh AshrafiAmiri; Minjun Seo; Sai Manoj Pudukotai Dinakarrao; Mohammed E. Fouda; Fadi Kurdahi PROVES: Establishing Image Provenance using Semantic Signatures. (93%)Mingyang Xie; Manav Kulshrestha; Shaojie Wang; Jinghan Yang; Ayan Chakrabarti; Ning Zhang; Yevgeniy Vorobeychik RoMA: a Method for Neural Network Robustness Measurement and Assessment. (92%)Natan Levy; Guy Katz Anti-Backdoor Learning: Training Clean Models on Poisoned Data. (83%)Yige Li; Xixiang Lyu; Nodens Koren; Lingjuan Lyu; Bo Li; Xingjun Ma PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. (68%)Shijie Zhang; Hongzhi Yin; Tong Chen; Zi Huang; Quoc Viet Hung Nguyen; Lizhen Cui Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness. (61%)Simon Geisler; Johanna Sommer; Jan Schuchardt; Aleksandar Bojchevski; Stephan Günnemann Watermarking Graph Neural Networks based on Backdoor Attacks. (31%)Jing Xu; Stjepan Picek Physical Side-Channel Attacks on Embedded Neural Networks: A Survey. (8%)Maria Méndez Real; Rubén Salvador 2021-10-20 Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning. (83%)Thai Le; Long Tran-Thanh; Dongwon Lee Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. (62%)Zihan Liul; Yun Luo; Zelin Zang; Stan Z. Li Moir\'e Attack (MA): A New Potential Risk of Screen Photos. (56%)Dantong Niu; Ruohao Guo; Yisen Wang Adversarial attacks against Bayesian forecasting dynamic models. (13%)Roi Naveiro No One Representation to Rule Them All: Overlapping Features of Training Methods. (1%)Raphael Gontijo-Lopes; Yann Dauphin; Ekin D. Cubuk 2021-10-19 Multi-concept adversarial attacks. (99%)Vibha Belavadi; Yan Zhou; Murat Kantarcioglu; Bhavani M. Thuraisingham A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification. (96%)Linhai Ma; Liang Liang TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. (69%)Atul Sharma; Wei Chen; Joshua Zhao; Qiang Qiu; Somali Chaterji; Saurabh Bagchi Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution. (61%)Tenghui Li; Guoxu Zhou; Yuning Qiu; Qibin Zhao Detecting Backdoor Attacks Against Point Cloud Classifiers. (26%)Zhen Xiang; David J. Miller; Siheng Chen; Xi Li; George Kesidis Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition. (13%)Haozhe Chen; Weiming Zhang; Kunlin Liu; Kejiang Chen; Han Fang; Nenghai Yu A Deeper Look into RowHammer`s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses. (5%)Lois Orosa; Abdullah Giray Yağlıkçı; Haocong Luo; Ataberk Olgun; Jisung Park; Hasan Hassan; Minesh Patel; Jeremie S. Kim; Onur Mutlu 2021-10-18 Boosting the Transferability of Video Adversarial Examples via Temporal Translation. (99%)Zhipeng Wei; Jingjing Chen; Zuxuan Wu; Yu-Gang Jiang Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information. (99%)Baolin Zheng; Peipei Jiang; Qian Wang; Qi Li; Chao Shen; Cong Wang; Yunjie Ge; Qingyang Teng; Shenyi Zhang Improving Robustness using Generated Data. (97%)Sven Gowal; Sylvestre-Alvise Rebuffi; Olivia Wiles; Florian Stimberg; Dan Andrei Calian; Timothy Mann MEMO: Test Time Robustness via Adaptation and Augmentation. (13%)Marvin Zhang; Sergey Levine; Chelsea Finn Minimal Multi-Layer Modifications of Deep Neural Networks. (4%)Idan Refaeli; Guy Katz 2021-10-17 Unrestricted Adversarial Attacks on ImageNet Competition. (99%)Yuefeng Chen; Xiaofeng Mao; Yuan He; Hui Xue; Chao Li; Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang; Tianyu Pang; Hang Su; Jun Zhu; Fangcheng Liu; Chao Zhang; Hongyang Zhang; Yichi Zhang; Shilong Liu; Chang Liu; Wenzhao Xiang; Yajie Wang; Huipeng Zhou; Haoran Lyu; Yidan Xu; Zixuan Xu; Taoyu Zhu; Wenjun Li; Xianfeng Gao; Guoqiu Wang; Huanqian Yan; Ying Guo; Chaoning Zhang; Zheng Fang; Yang Wang; Bingyang Fu; Yunfei Zheng; Yekui Wang; Haorong Luo; Zhen Yang Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training. (99%)Alexander Daniel Pan; Daniel Yongkyun; Lee; Huan Zhang; Yize Chen; Yuanyuan Shi ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks. (99%)Khondker Fariha Hossain; Sharif Amit Kamran; Alireza Tavakkoli; Xingjun Ma Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. (22%)Bang Wu; Xiangwen Yang; Shirui Pan; Xingliang Yuan Poisoning Attacks on Fair Machine Learning. (12%)Minh-Hao Van; Wei Du; Xintao Wu; Aidong Lu 2021-10-16 Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models. (99%)Bibek Poudel; Weizi Li Analyzing Dynamic Adversarial Training Data in the Limit. (82%)Eric Wallace; Adina Williams; Robin Jia; Douwe Kiela Characterizing Improper Input Validation Vulnerabilities of Mobile Crowdsourcing Services. (5%)Sojhal Ismail Khan; Dominika Woszczyk; Chengzeng You; Soteris Demetriou; Muhammad Naveed Tackling the Imbalance for GNNs. (4%)Rui Wang; Weixuan Xiong; Qinghu Hou; Ou Wu 2021-10-15 Adversarial Attacks on Gaussian Process Bandits. (99%)Eric Han; Jonathan Scarlett Generating Natural Language Adversarial Examples through An Improved Beam Search Algorithm. (99%)Tengfei Zhao; Zhaocheng Ge; Hanping Hu; Dingmeng Shi Adversarial Attacks on ML Defense Models Competition. (99%)Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang; Tianyu Pang; Hang Su; Jun Zhu; Jiayu Tang; Yuefeng Chen; XiaoFeng Mao; Yuan He; Hui Xue; Chao Li; Ye Liu; Qilong Zhang; Lianli Gao; Yunrui Yu; Xitong Gao; Zhe Zhao; Daquan Lin; Jiadong Lin; Chuanbiao Song; Zihao Wang; Zhennan Wu; Yang Guo; Jiequan Cui; Xiaogang Xu; Pengguang Chen Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. (76%)Xinyu Tang; Saeed Mahloujifar; Liwei Song; Virat Shejwalkar; Milad Nasr; Amir Houmansadr; Prateek Mittal Robustness of different loss functions and their impact on networks learning capability. (76%)Vishal Rajput Chunked-Cache: On-Demand and Scalable Cache Isolation for Security Architectures. (22%)Ghada Dessouky; Alexander Gruler; Pouya Mahmoody; Ahmad-Reza Sadeghi; Emmanuel Stapf Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks. (10%)Yangyi Chen; Fanchao Qi; Zhiyuan Liu; Maosong Sun Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation. (8%)Yao Qin; Chiyuan Zhang; Ting Chen; Balaji Lakshminarayanan; Alex Beutel; Xuezhi Wang Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand. (1%)Matteo Cardaioli; Stefano Cecconello; Mauro Conti; Simone Milani; Stjepan Picek; Eugen Saraci 2021-10-14 Adversarial examples by perturbing high-level features in intermediate decoder layers. (99%)Vojtěch Čermák; Lukáš Adam DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks. (99%)Yixiang Wang; Jiqiang Liu; Xiaolin Chang; Jianhua Wang; Ricardo J. Rodríguez Adversarial Purification through Representation Disentanglement. (99%)Tao Bai; Jun Zhao; Lanqing Guo; Bihan Wen RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. (93%)Wenkai Yang; Yankai Lin; Peng Li; Jie Zhou; Xu Sun An Optimization Perspective on Realizing Backdoor Injection Attacks on Deep Neural Networks in Hardware. (87%)M. Caner Tol; Saad Islam; Berk Sunar; Ziming Zhang Interactive Analysis of CNN Robustness. (80%)Stefan Sietzen; Mathias Lechner; Judy Borowski; Ramin Hasani; Manuela Waldner On Adversarial Vulnerability of PHM algorithms: An Initial Study. (69%)Weizhong Yan; Zhaoyuan Yang; Jianwei Qiu Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models. (61%)Tianlu Wang; Diyi Yang; Xuezhi Wang Toward Degradation-Robust Voice Conversion. (9%)Chien-yu Huang; Kai-Wei Chang; Hung-yi Lee Interpreting the Robustness of Neural NLP Models to Textual Perturbations. (9%)Yunxiang Zhang; Liangming Pan; Samson Tan; Min-Yen Kan Retrieval-guided Counterfactual Generation for QA. (2%)Bhargavi Paranjape; Matthew Lamm; Ian Tenney Effective Certification of Monotone Deep Equilibrium Models. (1%)Mark Niklas Müller; Robin Staab; Marc Fischer; Martin Vechev 2021-10-13 A Framework for Verification of Wasserstein Adversarial Robustness. (99%)Tobias Wegel; Felix Assion; David Mickisch; Florens Greßner Identification of Attack-Specific Signatures in Adversarial Examples. (99%)Hossein Souri; Pirazh Khorramshahi; Chun Pong Lau; Micah Goldblum; Rama Chellappa Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness. (99%)Xiao Yang; Yinpeng Dong; Wenzhao Xiang; Tianyu Pang; Hang Su; Jun Zhu Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer. (98%)Fanchao Qi; Yangyi Chen; Xurui Zhang; Mukai Li; Zhiyuan Liu; Maosong Sun Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack. (93%)Davis Brown; Henry Kvinge Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks. (92%)Shawn Shan; Arjun Nitin Bhagoji; Haitao Zheng; Ben Y. Zhao Boosting the Certified Robustness of L-infinity Distance Nets. (1%)Bohang Zhang; Du Jiang; Di He; Liwei Wang Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions. (1%)Chenyu Yi; Siyuan Yang; Haoliang Li; Yap-peng Tan; Alex Kot 2021-10-12 Adversarial Attack across Datasets. (99%)Yunxiao Qin; Yuanhao Xiong; Jinfeng Yi; Cho-Jui Hsieh Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning. (99%)Jinyin Chen; Guohan Huang; Haibin Zheng; Shanqing Yu; Wenrong Jiang; Chen Cui SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text. (92%)Hoang-Quoc Nguyen-Son; Seira Hidano; Kazuhide Fukushima; Shinsaku Kiyomoto On the Security Risks of AutoML. (45%)Ren Pang; Zhaohan Xi; Shouling Ji; Xiapu Luo; Ting Wang Zero-bias Deep Neural Network for Quickest RF Signal Surveillance. (1%)Yongxin Liu; Yingjie Chen; Jian Wang; Shuteng Niu; Dahai Liu; Houbing Song 2021-10-11 Boosting Fast Adversarial Training with Learnable Adversarial Initialization. (99%)Xiaojun Jia; Yong Zhang; Baoyuan Wu; Jue Wang; Xiaochun Cao Parameterizing Activation Functions for Adversarial Robustness. (98%)Sihui Dai; Saeed Mahloujifar; Prateek Mittal Amicable examples for informed source separation. (86%)Naoya Takahashi; Yuki Mitsufuji Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. (12%)Weiting Tan; Shuoyang Ding; Huda Khayrallah; Philipp Koehn Intriguing Properties of Input-dependent Randomized Smoothing. (1%)Peter Súkeník; Aleksei Kuvshinov; Stephan Günnemann Hiding Images into Images with Real-world Robustness. (1%)Qichao Ying; Hang Zhou; Xianhan Zeng; Haisheng Xu; Zhenxing Qian; Xinpeng Zhang Source Mixing and Separation Robust Audio Steganography. (1%)Naoya Takahashi; Mayank Kumar Singh; Yuki Mitsufuji Homogeneous Learning: Self-Attention Decentralized Deep Learning. (1%)Yuwei Sun; Hideya Ochiai Large Language Models Can Be Strong Differentially Private Learners. (1%)Xuechen Li; Florian Tramèr; Percy Liang; Tatsunori Hashimoto A Closer Look at Prototype Classifier for Few-shot Image Classification. (1%)Mingcheng Hou; Issei Sato Certified Patch Robustness via Smoothed Vision Transformers. (1%)Hadi Salman; Saachi Jain; Eric Wong; Aleksander Mądry 2021-10-10 Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability. (98%)Bilel Tarchoun; Ihsen Alouani; Anouar Ben Khalifa; Mohamed Ali Mahjoub Universal Adversarial Attacks on Neural Networks for Power Allocation in a Massive MIMO System. (92%)Pablo Millán Santos; B. R. Manoj; Meysam Sadeghi; Erik G. Larsson 2021-10-09 Demystifying the Transferability of Adversarial Attacks in Computer Networks. (99%)Ehsan Nowroozi; Yassine Mekdad; Mohammad Hajian Berenjestanaki; Mauro Conti; Abdeslam EL Fergougui Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning. (93%)Guanlin Liu; Lifeng Lai Widen The Backdoor To Let More Attackers In. (13%)Siddhartha Datta; Giulio Lovisotto; Ivan Martinovic; Nigel Shadbolt 2021-10-08 Explainability-Aware One Point Attack for Point Cloud Neural Networks. (99%)Hanxiao Tan; Helena Kotthaus Game Theory for Adversarial Attacks and Defenses. (98%)Shorya Sharma Graphs as Tools to Improve Deep Learning Methods. (10%)Carlos Lassance; Myriam Bontonou; Mounia Hamidouche; Bastien Pasdeloup; Lucas Drumetz; Vincent Gripon IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization. (3%)Simon Oya; Florian Kerschbaum A Wireless Intrusion Detection System for 802.11 WPA3 Networks. (1%)Neil Dalal; Nadeem Akhtar; Anubhav Gupta; Nikhil Karamchandani; Gaurav S. Kasbekar; Jatin Parekh Salient ImageNet: How to discover spurious features in Deep Learning? (1%)Sahil Singla; Soheil Feizi 2021-10-07 Robust Feature-Level Adversaries are Interpretability Tools. (99%)Stephen Casper; Max Nadeau; Dylan Hadfield-Menell; Gabriel Kreiman EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection. (99%)Hamid Bostani; Veelasha Moonsamy Adversarial Attack by Limited Point Cloud Surface Modifications. (98%)Atrin Arya; Hanieh Naderi; Shohreh Kasaei Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. (98%)Hanxun Huang; Yisen Wang; Sarah Monazam Erfani; Quanquan Gu; James Bailey; Xingjun Ma Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction. (80%)Jinyin Chen; Haiyang Xiong; Haibin Zheng; Jian Zhang; Guodong Jiang; Yi Liu Fingerprinting Multi-exit Deep Neural Network Models via Inference Time. (62%)Tian Dong; Han Qiu; Tianwei Zhang; Jiwei Li; Hewu Li; Jialiang Lu Adversarial Unlearning of Backdoors via Implicit Hypergradient. (56%)Yi Zeng; Si Chen; Won Park; Z. Morley Mao; Ming Jin; Ruoxi Jia MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings. (1%)Kailai Sun; Xiaoteng Ma; Peng Liu; Qianchuan Zhao 2021-10-06 HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise. (99%)Souvik Kundu; Massoud Pedram; Peter A. Beerel Reversible adversarial examples against local visual perturbation. (99%)Zhaoxia Yin; Li Chen; Shaowei Zhu Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack. (99%)Chin-Yuan Yeh; Hsi-Wen Chen; Hong-Han Shuai; De-Nian Yang; Ming-Syan Chen Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. (99%)Philipp Benz; Soomin Ham; Chaoning Zhang; Adil Karjauv; In So Kweon Adversarial Attacks on Machinery Fault Diagnosis. (99%)Jiahao Chen; Diqun Yan Adversarial Attacks on Spiking Convolutional Networks for Event-based Vision. (98%)Julian Büchel; Gregor Lenz; Yalun Hu; Sadique Sheik; Martino Sorbaro A Uniform Framework for Anomaly Detection in Deep Neural Networks. (97%)Fangzhen Zhao; Chenyi Zhang; Naipeng Dong; Zefeng You; Zhenxin Wu Double Descent in Adversarial Training: An Implicit Label Noise Perspective. (88%)Chengyu Dong; Liyuan Liu; Jingbo Shang Improving Adversarial Robustness for Free with Snapshot Ensemble. (83%)Yihao Wang DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems. (45%)Ce Michigan State University Zhou; Qiben Michigan State University Yan; Yan Michigan State University Shi; Lichao Lehigh University Sun Inference Attacks Against Graph Neural Networks. (2%)Zhikun Zhang; Min Chen; Michael Backes; Yun Shen; Yang Zhang Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch. (1%)Akriti Verma; Valeh Moghaddam; Adnan Anwar On The Vulnerability of Recurrent Neural Networks to Membership Inference Attacks. (1%)Yunhao Yang; Parham Gohari; Ufuk Topcu Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. (1%)Jiawei Du; Hanshu Yan; Jiashi Feng; Joey Tianyi Zhou; Liangli Zhen; Rick Siow Mong Goh; Vincent Y. F. Tan Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges. (1%)Rajasekhar Chaganti; Vinayakumar Ravi; Mamoun Alazab; Tuan D. Pham Exploring the Common Principal Subspace of Deep Features in Neural Networks. (1%)Haoran Liu; Haoyi Xiong; Yaqing Wang; Haozhe An; Dongrui Wu; Dejing Dou Generalizing Neural Networks by Reflecting Deviating Data in Production. (1%)Yan Xiao; Yun Lin; Ivan Beschastnikh; Changsheng Sun; David S. Rosenblum; Jin Song Dong 2021-10-05 Adversarial Robustness Verification and Attack Synthesis in Stochastic Systems. (99%)Lisa Oakley; Alina Oprea; Stavros Tripakis Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations. (99%)Shasha Li; Abhishek Aich; Shitong Zhu; M. Salman Asif; Chengyu Song; Amit K. Roy-Chowdhury; Srikanth Krishnamurthy Adversarial defenses via a mixture of generators. (99%)Maciej Żelaszczyk; Jacek Mańdziuk Neural Network Adversarial Attack Method Based on Improved Genetic Algorithm. (92%)Dingming Yang; Yanrong Cui; Hongqiang Yuan BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models. (33%)Kangjie Chen; Yuxian Meng; Xiaofei Sun; Shangwei Guo; Tianwei Zhang; Jiwei Li; Chun Fan Spectral Bias in Practice: The Role of Function Frequency in Generalization. (1%)Sara Fridovich-Keil; Raphael Gontijo-Lopes; Rebecca Roelofs CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation. (1%)Peng Liu; Charlie T. Tran; Bin Kong; Ruogu Fang Noisy Feature Mixup. (1%)Soon Hoe Lim; N. Benjamin Erichson; Francisco Utrera; Winnie Xu; Michael W. Mahoney 2021-10-04 Benchmarking Safety Monitors for Image Classifiers with Machine Learning. (1%)Raul Sena LAAS Ferreira; Jean LAAS Arlat; Jeremie LAAS Guiochet; Hélène LAAS Waeselynck 2021-10-03 Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models. (82%)Wenqian Ye; Fei Xu; Yaojia Huang; Cassie Huang; Ji A 2021-10-02 Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication. (98%)Elliu Huang; Troia Fabio Di; Mark Stamp Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function. (13%)Md Tahmid Hossain; Shyh Wei Teng; Ferdous Sohel; Guojun Lu 2021-10-01 Calibrated Adversarial Training. (98%)Tianjin Huang; Vlado Menkovski; Yulong Pei; Mykola Pechenizkiy Universal Adversarial Spoofing Attacks against Face Recognition. (87%)Takuma Amada; Seng Pei Liew; Kazuya Kakizaki; Toshinori Araki Score-Based Generative Classifiers. (84%)Roland S. Zimmermann; Lukas Schott; Yang Song; Benjamin A. Dunn; David A. Klindt One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency. (1%)Sayeed Shafayet Chowdhury; Nitin Rathi; Kaushik Roy 2021-09-30 Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation. (98%)Manjushree B. Aithal; Xiaohua Li You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors. (95%)Zijian Zhu; Hang Su; Chang Liu; Wenzhao Xiang; Shibao Zheng Adversarial Semantic Contour for Object Detection. (92%)Yichi Zhang; Zijian Zhu; Xiao Yang; Jun Zhu From Zero-Shot Machine Learning to Zero-Day Attack Detection. (10%)Mohanad Sarhan; Siamak Layeghy; Marcus Gallagher; Marius Portmann 2021-09-29 On Brightness Agnostic Adversarial Examples Against Face Recognition Systems. (99%)Inderjeet Singh; Satoru Momiyama; Kazuya Kakizaki; Toshinori Araki Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks. (70%)Kaleel Mahmood; Rigel Mahmood; Ethan Rathbun; Dijk Marten van BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining. (41%)Weizhe Hua; Yichi Zhang; Chuan Guo; Zhiru Zhang; G. Edward Suh Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP). (10%)Nancirose Piazza; Vahid Behzadan 2021-09-28 slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks. (1%)Elizabeth Newman; Julianne Chung; Matthias Chung; Lars Ruthotto 2021-09-27 MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles. (99%)Yuejun Guo; Qiang Hu; Maxime Cordy; Michail Papadakis; Yves Le Traon Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors. (99%)Zhengyi Wang; Zhongkai Hao; Ziqiao Wang; Hang Su; Jun Zhu Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective. (98%)Adhyyan Narang; Vidya Muthukumar; Anant Sahai GANG-MAM: GAN based enGine for Modifying Android Malware. (64%)Renjith G; Sonia Laudanna; Aji S; Corrado Aaron Visaggio; Vinod P Distributionally Robust Multi-Output Regression Ranking. (3%)Shahabeddin Sotudian; Ruidi Chen; Ioannis Paschalidis Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing. (1%)Kanil Patel; William Beluch; Kilian Rambach; Michael Pfeiffer; Bin Yang Federated Deep Learning with Bayesian Privacy. (1%)Hanlin Gu; Lixin Fan; Bowen Li; Yan Kang; Yuan Yao; Qiang Yang 2021-09-26 Distributionally Robust Multiclass Classification and Applications in Deep CNN Image Classifiers. (11%)Ruidi Chen; Boran Hao; Ioannis Paschalidis 2021-09-25 Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency. (99%)Sohaib Kiani; Sana Awan; Chao Lan; Fengjun Li; Bo Luo Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning. (98%)Víctor Gallego MINIMAL: Mining Models for Data Free Universal Adversarial Triggers. (93%)Swapnil Parekh; Yaman Singla Kumar; Somesh Singh; Changyou Chen; Balaji Krishnamurthy; Rajiv Ratn Shah 2021-09-24 Local Intrinsic Dimensionality Signals Adversarial Perturbations. (98%)Sandamal Weerasinghe; Tansu Alpcan; Sarah M. Erfani; Christopher Leckie; Benjamin I. P. Rubinstein 2021-09-23 Breaking BERT: Understanding its Vulnerabilities for Biomedical Named Entity Recognition through Adversarial Attack. (98%)Anne Dirkson; Suzan Verberne; Wessel Kraaij FooBaR: Fault Fooling Backdoor Attack on Neural Network Training. (88%)Jakub Breier; Xiaolu Hou; Martín Ochoa; Jesus Solano AES Systems Are Both Overstable And Oversensitive: Explaining Why And Proposing Defenses. (68%)Yaman Kumar Singla; Swapnil Parekh; Somesh Singh; Junyi Jessy Li; Rajiv Ratn Shah; Changyou Chen DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications. (1%)Dongqi Han; Zhiliang Wang; Wenqi Chen; Ying Zhong; Su Wang; Han Zhang; Jiahai Yang; Xingang Shi; Xia Yin 2021-09-22 Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers. (99%)Honggang Yu; Shihfeng Zeng; Teng Zhang; Ing-Chao Lin; Yier Jin CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks. (81%)Mikhail Pautov; Nurislam Tursynbek; Marina Munkhoeva; Nikita Muravev; Aleksandr Petiushko; Ivan Oseledets Security Analysis of Capsule Network Inference using Horizontal Collaboration. (69%)Adewale Adeyemo; Faiq Khalid; Tolulope A. Odetola; Syed Rafay Hasan Adversarial Transfer Attacks With Unknown Data and Class Overlap. (62%)Luke E. Richards; André Nguyen; Ryan Capps; Steven Forsythe; Cynthia Matuszek; Edward Raff Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation. (1%)Diptesh Kanojia; Marina Fomicheva; Tharindu Ranasinghe; Frédéric Blain; Constantin Orăsan; Lucia Specia Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis. (1%)Zeyuan Yin; Ye Yuan; Panfeng Guo; Pan Zhou 2021-09-21 Attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability. (99%)Hadjer Benkraouda; Jingyu Qian; Hung Quoc Tran; Berkay Kaplan 3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. (93%)Mengxi Wu; Hao Huang; Yi Fang DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning. (76%)Md Tamjid Hossain; Shafkat Islam; Shahriar Badsha; Haoting Shen Privacy, Security, and Utility Analysis of Differentially Private CPES Data. (13%)Md Tamjid Hossain; Shahriar Badsha; Haoting Shen 2021-09-20 Robust Physical-World Attacks on Face Recognition. (99%)Xin Zheng; Yanbo Fan; Baoyuan Wu; Yong Zhang; Jue Wang; Shirui Pan Modeling Adversarial Noise for Adversarial Defense. (99%)Dawei Zhou; Nannan Wang; Bo Han; Tongliang Liu Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? (99%)Deqiang Li; Tian Qiu; Shuo Chen; Qianmu Li; Shouhuai Xu Robustness Analysis of Deep Learning Frameworks on Mobile Platforms. (10%)Amin Eslami Abyane; Hadi Hemmati "Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World. (2%)Emily Wenger; Max Bronckers; Christian Cianfarani; Jenna Cryan; Angela Sha; Haitao Zheng; Ben Y. Zhao Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. (1%)Muhammad Shafique; Alberto Marchisio; Rachmad Vidya Wicaksana Putra; Muhammad Abdullah Hanif 2021-09-19 On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. (99%)Deboleena Roy; Chun Tao; Indranil Chakraborty; Kaushik Roy Adversarial Training with Contrastive Learning in NLP. (16%)Daniela N. Rim; DongNyeong Heo; Heeyoul Choi 2021-09-18 Clean-label Backdoor Attack against Deep Hashing based Retrieval. (98%)Kuofeng Gao; Jiawang Bai; Bin Chen; Dongxian Wu; Shu-Tao Xia 2021-09-17 Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. (98%)Enrico Meloni; Matteo Tiezzi; Luca Pasqualini; Marco Gori; Stefano Melacci Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations. (8%)Ke Sun; Yi Liu; Yingnan Zhao; Hengshuai Yao; Shangling Jui; Linglong Kong 2021-09-16 Harnessing Perceptual Adversarial Patches for Crowd Counting. (99%)Shunchang Liu; Jiakai Wang; Aishan Liu; Yingwei Li; Yijie Gao; Xianglong Liu; Dacheng Tao KATANA: Simple Post-Training Robustness Using Test Time Augmentations. (98%)Gilad Cohen; Raja Giryes Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns. (96%)Prasanth Buddareddygari; Travis Zhang; Yezhou Yang; Yi Ren Adversarial Attacks against Deep Learning Based Power Control in Wireless Communications. (95%)Brian Kim; Yi Shi; Yalin E. Sagduyu; Tugba Erpek; Sennur Ulukus Don't Search for a Search Method -- Simple Heuristics Suffice for Adversarial Text Attacks. (68%)Nathaniel Berger; Stefan Riezler; Artem Sokolov; Sebastian Ebert Membership Inference Attacks Against Recommender Systems. (3%)Minxing Zhang; Zhaochun Ren; Zihan Wang; Pengjie Ren; Zhumin Chen; Pengfei Hu; Yang Zhang 2021-09-15 Universal Adversarial Attack on Deep Learning Based Prognostics. (99%)Arghya Basak; Pradeep Rathore; Sri Harsha Nistala; Sagar Srinivas; Venkataramana Runkana Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. (98%)Alessio Russo; Alexandre Proutiere FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. (95%)DonghuaWang; Tingsong Jiang; Jialiang Sun; Weien Zhou; Xiaoya Zhang; Zhiqiang Gong; Wen Yao; Xiaoqian Chen BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification. (92%)Jens Hauser; Zhao Meng; Damián Pascual; Roger Wattenhofer Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup. (13%)Guang Liu; Yuzhao Mao; Hailong Huang; Weiguo Gao; Xuan Li Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel. (10%)Henrique Teles Maia; Chang Xiao; Dingzeyu Li; Eitan Grinspun; Changxi Zheng 2021-09-14 A Novel Data Encryption Method Inspired by Adversarial Attacks. (99%)Praveen Fernando; Jin Wei-Kocsis Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder. (99%)Yao Qiu; Jinchao Zhang; Jie Zhou PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models. (99%)Bing He; Mustaque Ahamad; Srijan Kumar EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes. (76%)Rizwan Hamid Randhawa; Nauman Aslam; Muhammad Alauthman; Husnain Rafiq; Muhammad Khalid Dodging Attack Using Carefully Crafted Natural Makeup. (47%)Nitzan Guetta; Asaf Shabtai; Inderjeet Singh; Satoru Momiyama; Yuval Elovici Avengers Ensemble! Improving Transferability of Authorship Obfuscation. (12%)Muhammad Haroon; Muhammad Fareed Zaffar; Padmini Srinivasan; Zubair Shafiq ARCH: Efficient Adversarial Regularized Training with Caching. (8%)Simiao Zuo; Chen Liang; Haoming Jiang; Pengcheng He; Xiaodong Liu; Jianfeng Gao; Weizhu Chen; Tuo Zhao 2021-09-13 Adversarial Bone Length Attack on Action Recognition. (99%)Nariki Tanaka; Hiroshi Kera; Kazuhiko Kawamoto Randomized Substitution and Vote for Textual Adversarial Example Detection. (99%)Xiaosen Wang; Yifeng Xiong; Kun He Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator. (99%)Wenzhao Xiang; Hang Su; Chang Liu; Yandong Guo; Shibao Zheng Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability. (98%)Kevin Richard G. Operiano; Wanchalerm Pora; Hitoshi Iba; Hiroshi Kera A Practical Adversarial Attack on Contingency Detection of Smart Energy Systems. (98%)Moein Sabounchi; Jin Wei-Kocsis Adversarial Examples for Evaluating Math Word Problem Solvers. (96%)Vivek Kumar; Rishabh Maheshwary; Vikram Pudi PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos. (86%)Nupur Thakur; Baoxin Li SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. (81%)Jian Xu; Shao-Lun Huang; Linqi Song; Tian Lan Formalizing and Estimating Distribution Inference Risks. (62%)Anshuman Suri; David Evans Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. (50%)Kun Zhou; Wayne Xin Zhao; Sirui Wang; Fuzheng Zhang; Wei Wu; Ji-Rong Wen Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models. (16%)Won Park; Nan Li; Qi Alfred Chen; Z. Morley Mao Adversarially Trained Object Detector for Unsupervised Domain Adaptation. (3%)Kazuma Fujii; Hiroshi Kera; Kazuhiko Kawamoto Perturbation CheckLists for Evaluating NLG Evaluation Metrics. (1%)Ananya B. Sai; Tanay Dixit; Dev Yashpal Sheth; Sreyas Mohan; Mitesh M. Khapra How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. (1%)Tianda Li; Ahmad Rashid; Aref Jafari; Pranav Sharma; Ali Ghodsi; Mehdi Rezagholizadeh Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. (1%)Ziyuan Zhong; Zhisheng Hu; Shengjian Guo; Xinyang Zhang; Zhenyu Zhong; Baishakhi Ray 2021-09-12 TREATED:Towards Universal Defense against Textual Adversarial Attacks. (99%)Bin Zhu; Zhaoquan Gu; Le Wang; Zhihong Tian CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph. (98%)Xugang Wu; Huijun Wu; Xu Zhou; Kai Lu Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain. (93%)Hasan Abed Al Kader Hammoud; Bernard Ghanem RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. (84%)Bill Yuchen Lin; Wenyang Gao; Jun Yan; Ryan Moreno; Xiang Ren Shape-Biased Domain Generalization via Shock Graph Embeddings. (2%)Maruthi Narayanan; Vickram Rajendran; Benjamin Kimia Source Inference Attacks in Federated Learning. (1%)Hongsheng Hu; Zoran Salcic; Lichao Sun; Gillian Dobbie; Xuyun Zhang 2021-09-11 RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. (98%)Shiyu Tang; Ruihao Gong; Yan Wang; Aishan Liu; Jiakai Wang; Xinyun Chen; Fengwei Yu; Xianglong Liu; Dawn Song; Alan Yuille; Philip H. S. Torr; Dacheng Tao 2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency. (81%)Yonggan Fu; Yang Zhao; Qixuan Yu; Chaojian Li; Yingyan Lin 2021-09-10 A Strong Baseline for Query Efficient Attacks in a Black Box Setting. (99%)Rishabh Maheshwary; Saket Maheshwary; Vikram Pudi 2021-09-09 Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification. (99%)Maximilian Mozes; Max Bartolo; Pontus Stenetorp; Bennett Kleinberg; Lewis D. Griffin Energy Attack: On Transferring Adversarial Examples. (99%)Ruoxi Shi; Borui Yang; Yangzhou Jiang; Chenglong Zhao; Bingbing Ni Protein Folding Neural Networks Are Not Robust. (99%)Sumit Kumar Jha; Arvind Ramanathan; Rickard Ewetz; Alvaro Velasquez; Susmit Jha Towards Transferable Adversarial Attacks on Vision Transformers. (99%)Zhipeng Wei; Jingjing Chen; Micah Goldblum; Zuxuan Wu; Tom Goldstein; Yu-Gang Jiang Multi-granularity Textual Adversarial Attack with Behavior Cloning. (98%)Yangyi Chen; Jin Su; Wei Wei Spatially Focused Attack against Spatiotemporal Graph Neural Networks. (81%)Fuqiang Liu; Luis Miranda-Moreno; Lijun Sun Differential Privacy in Personalized Pricing with Nonparametric Demand Models. (26%)Xi Chen; Sentao Miao; Yining Wang EvilModel 2.0: Bringing Neural Network Models into Malware Attacks. (5%)Zhi Wang; Chaoge Liu; Xiang Cui; Jie Yin; Xutong Wang 2021-09-08 Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning. (89%)Maziar Gomrokchi; Susan Amin; Hossein Aboutalebi; Alexander Wong; Doina Precup Robust Optimal Classification Trees Against Adversarial Examples. (80%)Daniël Vos; Sicco Verwer 2021-09-07 Adversarial Parameter Defense by Multi-Step Risk Minimization. (98%)Zhiyuan Zhang; Ruixuan Luo; Xuancheng Ren; Qi Su; Liangyou Li; Xu Sun POW-HOW: An enduring timing side-channel to evade online malware sandboxes. (12%)Antonio Nappa; Panagiotis Papadopoulos; Matteo Varvello; Daniel Aceituno Gomez; Juan Tapiador; Andrea Lanzi Unpaired Adversarial Learning for Single Image Deraining with Rain-Space Contrastive Constraints. (1%)Xiang Chen; Jinshan Pan; Kui Jiang; Yufeng Huang; Caihua Kong; Longgang Dai; Yufeng Li 2021-09-06 Robustness and Generalization via Generative Adversarial Training. (82%)Omid Poursaeed; Tianxing Jiang; Harry Yang; Serge Belongie; SerNam Lim Trojan Signatures in DNN Weights. (33%)Greg Fields; Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar; Tara Javidi Automated Robustness with Adversarial Training as a Post-Processing Step. (4%)Ambrish Rawat; Mathieu Sinn; Beat Buesser Exposing Length Divergence Bias of Textual Matching Models. (2%)Lan Jiang; Tianshu Lyu; Chong Meng; Xiaoyong Lyu; Dawei Yin 2021-09-05 Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack. (98%)Shengcai Liu; Ning Lu; Cheng Chen; Ke Tang Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning. (2%)Yusen Wu; Hao Chen; Xin Wang; Chao Liu; Phuong Nguyen; Yelena Yesha DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode. (1%)Nadia Daoudi; Jordan Samhi; Abdoul Kader Kabore; Kevin Allix; Tegawendé F. Bissyandé; Jacques Klein 2021-09-04 Real-World Adversarial Examples involving Makeup Application. (99%)Chang-Sheng Lin; Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness. (99%)Uriya Pesso; Koby Bibas; Meir Feder Training Meta-Surrogate Model for Transferable Adversarial Attack. (99%)Yunxiao Qin; Yuanhao Xiong; Jinfeng Yi; Cho-Jui Hsieh 2021-09-03 SEC4SR: A Security Analysis Platform for Speaker Recognition. (99%)Guangke Chen; Zhe Zhao; Fu Song; Sen Chen; Lingling Fan; Yang Liu Risk Assessment for Connected Vehicles under Stealthy Attacks on Vehicle-to-Vehicle Networks. (1%)Tianci Yang; Carlos Murguia; Chen Lv 2021-09-02 A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. (99%)Guanxiong Liu; Issa Khalil; Abdallah Khreishah; NhatHai Phan Impact of Attention on Adversarial Robustness of Image Classification Models. (99%)Prachi Agrawal; Narinder Singh Punn; Sanjay Kumar Sonbhadra; Sonali Agarwal Adversarial Robustness for Unsupervised Domain Adaptation. (98%)Muhammad Awais; Fengwei Zhou; Hang Xu; Lanqing Hong; Ping Luo; Sung-Ho Bae; Zhenguo Li Real World Robustness from Systematic Noise. (91%)Yan Wang; Yuhang Li; Ruihao Gong Building Compact and Robust Deep Neural Networks with Toeplitz Matrices. (61%)Alexandre Araujo 2021-09-01 Towards Improving Adversarial Training of NLP Models. (98%)Jin Yong Yoo; Yanjun Qi Excess Capacity and Backdoor Poisoning. (97%)Naren Sarayu Manoj; Avrim Blum Regional Adversarial Training for Better Robust Generalization. (96%)Chuanbiao Song; Yanbo Fan; Yicheng Yang; Baoyuan Wu; Yiming Li; Zhifeng Li; Kun He R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. (86%)Alberto Marchisio; Giacomo Pira; Maurizio Martina; Guido Masera; Muhammad Shafique Proof Transfer for Neural Network Verification. (9%)Christian Sprecher; Marc Fischer; Dimitar I. Dimitrov; Gagandeep Singh; Martin Vechev Guarding Machine Learning Hardware Against Physical Side-Channel Attacks. (2%)Anuj Dubey; Rosario Cammarota; Vikram Suresh; Aydin Aysu 2021-08-31 EG-Booster: Explanation-Guided Booster of ML Evasion Attacks. (99%)Abderrahmen Amich; Birhanu Eshete Morphence: Moving Target Defense Against Adversarial Examples. (99%)Abderrahmen Amich; Birhanu Eshete DPA: Learning Robust Physical Adversarial Camouflages for Object Detectors. (93%)Yexin Duan; Jialin Chen; Xingyu Zhou; Junhua Zou; Zhengyun He; Wu Zhang; Jin Zhang; Zhisong Pan Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. (83%)Zhenrui Yue; Zhankui He; Huimin Zeng; Julian McAuley Segmentation Fault: A Cheap Defense Against Adversarial Machine Learning. (75%)Doha Al Bared; Mohamed Nassar Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning. (4%)Linyang Li; Demin Song; Xiaonan Li; Jiehang Zeng; Ruotian Ma; Xipeng Qiu 2021-08-30 Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. (99%)Mazda Moayeri; Soheil Feizi Investigating Vulnerabilities of Deep Neural Policies. (99%)Ezgi Korkmaz Adversarial Example Devastation and Detection on Speech Recognition System by Adding Random Noise. (99%)Mingyu Dong; Diqun Yan; Yongkang Gong; Rangding Wang Single Node Injection Attack against Graph Neural Networks. (68%)Shuchang Tao; Qi Cao; Huawei Shen; Junjie Huang; Yunfan Wu; Xueqi Cheng Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms. (41%)Albert Jiménez Sanfiz; Mohamed Akrout Adaptive perturbation adversarial training: based on reinforcement learning. (41%)Zhishen Nie; Ying Lin; Sp Ren; Lan Zhang How Does Adversarial Fine-Tuning Benefit BERT? (33%)Javid Ebrahimi; Hao Yang; Wei Zhang ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation. (26%)Ahmed Abusnaina; Afsah Anwar; Sultan Alshamrani; Abdulrahman Alabduljabbar; RhongHo Jang; Daehun Nyang; David Mohaisen DuTrust: A Sentiment Analysis Dataset for Trustworthiness Evaluation. (1%)Lijie Wang; Hao Liu; Shuyuan Peng; Hongxuan Tang; Xinyan Xiao; Ying Chen; Hua Wu; Haifeng Wang 2021-08-29 Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. (99%)Zongyi Li; Jianhan Xu; Jiehang Zeng; Linyang Li; Xiaoqing Zheng; Qi Zhang; Kai-Wei Chang; Cho-Jui Hsieh Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. (98%)Zeyuan Wang; Chaofeng Sha; Su Yang DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks. (82%)Shiwen Ni; Jiawen Li; Hung-Yu Kao HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media. (81%)Shiwen Ni; Jiawen Li; Hung-Yu Kao 2021-08-27 Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights. (99%)Omid Kargarnovin; Amir Mahdi Sadeghzadeh; Rasool Jalili Disrupting Adversarial Transferability in Deep Neural Networks. (98%)Christopher Wiedeman; Ge Wang Evaluating the Robustness of Neural Language Models to Input Perturbations. (16%)Milad Moradi; Matthias Samwald Deep learning models are not robust against noise in clinical text. (1%)Milad Moradi; Kathrin Blagec; Matthias Samwald 2021-08-26 Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks. (99%)Landan Seguin; Anthony Ndirango; Neeli Mishra; SueYeon Chung; Tyler Lee A Hierarchical Assessment of Adversarial Severity. (98%)Guillaume Jeanneret; Juan C Perez; Pablo Arbelaez Physical Adversarial Attacks on an Aerial Imagery Object Detector. (96%)Andrew Du; Bo Chen; Tat-Jun Chin; Yee Wei Law; Michele Sasdelli; Ramesh Rajasegaran; Dillon Campbell Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference. (80%)Yang Zheng; Xiaoyi Feng; Zhaoqiang Xia; Xiaoyue Jiang; Ambra Demontis; Maura Pintor; Battista Biggio; Fabio Roli Detection and Continual Learning of Novel Face Presentation Attacks. (2%)Mohammad Rostami; Leonidas Spinoulas; Mohamed Hussein; Joe Mathai; Wael Abd-Almageed 2021-08-25 Uncertify: Attacks Against Neural Network Certification. (99%)Tobias Lorenz; Marta Kwiatkowska; Mario Fritz Adversarially Robust One-class Novelty Detection. (99%)Shao-Yuan Lo; Poojan Oza; Vishal M. Patel Bridged Adversarial Training. (93%)Hoki Kim; Woojin Lee; Sungyoon Lee; Jaewook Lee Generalized Real-World Super-Resolution through Adversarial Robustness. (93%)Angela Castillo; María Escobar; Juan C. Pérez; Andrés Romero; Radu Timofte; Gool Luc Van; Pablo Arbeláez 2021-08-24 Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE. (99%)Wenzhao Xiang; Chang Liu; Shibao Zheng Are socially-aware trajectory prediction models really socially-aware? (92%)Saeed Saadatnejad; Mohammadhossein Bahari; Pedram Khorsandi; Mohammad Saneian; Seyed-Mohsen Moosavi-Dezfooli; Alexandre Alahi OOWL500: Overcoming Dataset Collection Bias in the Wild. (76%)Brandon Leung; Chih-Hui Ho; Amir Persekian; David Orozco; Yen Chang; Erik Sandstrom; Bo Liu; Nuno Vasconcelos StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures. (1%)Sanghyuk Chun; Song Park 2021-08-23 Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. (99%)Wenjie Ruan; Xinping Yi; Xiaowei Huang Semantic-Preserving Adversarial Text Attacks. (99%)Xinghao Yang; Weifeng Liu; James Bailey; Tianqing Zhu; Dacheng Tao; Wei Liu Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks. (99%)Nima Mirnateghi; Syed Afaq Ali Shah; Mohammed Bennamoun Kryptonite: An Adversarial Attack Using Regional Focus. (99%)Yogesh Kulkarni; Krisha Bhambani Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Federated Learning. (73%)Virat Shejwalkar; Amir Houmansadr; Peter Kairouz; Daniel Ramage SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness. (4%)Md Amirul Islam; Matthew Kowal; Konstantinos G. Derpanis; Neil D. B. Bruce 2021-08-22 Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations. (99%)Inci M. Baytas; Debayan Deb Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency. (98%)Xueping Wang; Shasha Li; Min Liu; Yaonan Wang; Amit K. Roy-Chowdhury Relating CNNs with brain: Challenges and findings. (10%)Reem Abdel-Salam 2021-08-21 A Hard Label Black-box Adversarial Attack Against Graph Neural Networks. (99%)Jiaming Mu; Binghui Wang; Qi Li; Kun Sun; Mingwei Xu; Zhuotao Liu "Adversarial Examples" for Proof-of-Learning. (98%)Rui Zhang; Jian Liu; Yuan Ding; Qingbiao Wu; Kui Ren Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers. (2%)Abinash Nayak 2021-08-20 AdvDrop: Adversarial Attack to DNNs by Dropping Information. (99%)Ranjie Duan; Yuefeng Chen; Dantong Niu; Yun Yang; A. K. Qin; Yuan He PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. (99%)Chong Xiang; Saeed Mahloujifar; Prateek Mittal Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. (98%)Haowen Lin; Jian Lou; Li Xiong; Cyrus Shahabi Towards Understanding the Generative Capability of Adversarially Robust Classifiers. (98%)Yao Zhu; Jiacheng Ma; Jiacheng Sun; Zewei Chen; Rongxin Jiang; Zhenguo Li Detecting and Segmenting Adversarial Graphics Patterns from Images. (93%)Xiangyu Purdue University Qu; Stanley H. Purdue University Chan UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning. (1%)Ege Erdogan; Alptekin Kupcu; A. Ercument Cicek Early-exit deep neural networks for distorted images: providing an efficient edge offloading. (1%)Roberto G. Pacheco; Fernanda D. V. R. Oliveira; Rodrigo S. Couto 2021-08-19 Application of Adversarial Examples to Physical ECG Signals. (99%)Taiga Waseda University Ono; Takeshi The University of Electro-Communications Sugawara; Jun University of Tsukuba Sakuma; Tatsuya Waseda University RIKEN AIP Mori Pruning in the Face of Adversaries. (99%)Florian Merkle; Maximilian Samsinger; Pascal Schöttle ASAT: Adaptively Scaled Adversarial Training in Time Series. (98%)Zhiyuan Zhang; Wei Li; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. (80%)Guangyao Chen; Peixi Peng; Li Ma; Jia Li; Lin Du; Yonghong Tian 2021-08-18 Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better. (99%)Bojia Zi; Shihao Zhao; Xingjun Ma; Yu-Gang Jiang Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes. (98%)Mingjun Yin; Shasha Li; Zikui Cai; Chengyu Song; M. Salman Asif; Amit K. Roy-Chowdhury; Srikanth V. Krishnamurthy MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression. (45%)Zhaoyang Jia; Han Fang; Weiming Zhang Proceedings of the 1st International Workshop on Adaptive Cyber Defense. (1%)Damian Marriott; Kimberly Ferguson-Walter; Sunny Fugate; Marco Carvalho 2021-08-17 When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples. (98%)Maximilian Samsinger; Florian Merkle; Pascal Schöttle; Tomas Pevny Adversarial Relighting Against Face Recognition. (98%)Qian Zhang; Qing Guo; Ruijun Gao; Felix Juefei-Xu; Hongkai Yu; Wei Feng Semantic Perturbations with Normalizing Flows for Improved Generalization. (13%)Oguz Kaan Yuksel; Sebastian U. Stich; Martin Jaggi; Tatjana Chavdarova Coalesced Multi-Output Tsetlin Machines with Clause Sharing. (1%)Sondre Glimsdal; Ole-Christoffer Granmo Appearance Based Deep Domain Adaptation for the Classification of Aerial Images. (1%)Dennis Wittich; Franz Rottensteiner 2021-08-16 Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy. (99%)Ruikui Wang; Yuanfang Guo; Ruijie Yang; Yunhong Wang Interpreting Attributions and Interactions of Adversarial Attacks. (83%)Xin Wang; Shuyun Lin; Hao Zhang; Yufei Zhu; Quanshi Zhang Patch Attack Invariance: How Sensitive are Patch Attacks to 3D Pose? (62%)Max Lennon; Nathan Drenkow; Philippe Burlina NeuraCrypt is not private. (10%)Nicholas Carlini; Sanjam Garg; Somesh Jha; Saeed Mahloujifar; Mohammad Mahmoody; Florian Tramer Identifying and Exploiting Structures for Reliable Deep Learning. (2%)Amartya Sanyal On the Opportunities and Risks of Foundation Models. (2%)Rishi Bommasani; Drew A. Hudson; Ehsan Adeli; Russ Altman; Simran Arora; Arx Sydney von; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; Dallas Card; Rodrigo Castellon; Niladri Chatterji; Annie Chen; Kathleen Creel; Jared Quincy Davis; Dora Demszky; Chris Donahue; Moussa Doumbouya; Esin Durmus; Stefano Ermon; John Etchemendy; Kawin Ethayarajh; Li Fei-Fei; Chelsea Finn; Trevor Gale; Lauren Gillespie; Karan Goel; Noah Goodman; Shelby Grossman; Neel Guha; Tatsunori Hashimoto; Peter Henderson; John Hewitt; Daniel E. Ho; Jenny Hong; Kyle Hsu; Jing Huang; Thomas Icard; Saahil Jain; Dan Jurafsky; Pratyusha Kalluri; Siddharth Karamcheti; Geoff Keeling; Fereshte Khani; Omar Khattab; Pang Wei Koh; Mark Krass; Ranjay Krishna; Rohith Kuditipudi; Ananya Kumar; Faisal Ladhak; Mina Lee; Tony Lee; Jure Leskovec; Isabelle Levent; Xiang Lisa Li; Xuechen Li; Tengyu Ma; Ali Malik; Christopher D. Manning; Suvir Mirchandani; Eric Mitchell; Zanele Munyikwa; Suraj Nair; Avanika Narayan; Deepak Narayanan; Ben Newman; Allen Nie; Juan Carlos Niebles; Hamed Nilforoshan; Julian Nyarko; Giray Ogut; Laurel Orr; Isabel Papadimitriou; Joon Sung Park; Chris Piech; Eva Portelance; Christopher Potts; Aditi Raghunathan; Rob Reich; Hongyu Ren; Frieda Rong; Yusuf Roohani; Camilo Ruiz; Jack Ryan; Christopher Ré; Dorsa Sadigh; Shiori Sagawa; Keshav Santhanam; Andy Shih; Krishnan Srinivasan; Alex Tamkin; Rohan Taori; Armin W. Thomas; Florian Tramèr; Rose E. Wang; William Wang; Bohan Wu; Jiajun Wu; Yuhuai Wu; Sang Michael Xie; Michihiro Yasunaga; Jiaxuan You; Matei Zaharia; Michael Zhang; Tianyi Zhang; Xikun Zhang; Yuhui Zhang; Lucia Zheng; Kaitlyn Zhou; Percy Liang 2021-08-15 Neural Architecture Dilation for Adversarial Robustness. (81%)Yanxi Li; Zhaohui Yang; Yunhe Wang; Chang Xu Deep Adversarially-Enhanced k-Nearest Neighbors. (74%)Ren Wang; Tianqi Chen IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. (1%)Ruixuan Liu; Changliu Liu 2021-08-14 LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis. (1%)Fan Wu; Yunhui Long; Ce Zhang; Bo Li 2021-08-13 Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks. (99%)Federico Nesti; Giulio Rossolini; Saasha Nair; Alessandro Biondi; Giorgio Buttazzo Optical Adversarial Attack. (98%)Abhiram Gnanasambandam; Alex M. Sherman; Stanley H. Chan Understanding Structural Vulnerability in Graph Convolutional Networks. (96%)Liang Chen; Jintang Li; Qibiao Peng; Yang Liu; Zibin Zheng; Carl Yang The Forgotten Threat of Voltage Glitching: A Case Study on Nvidia Tegra X2 SoCs. (1%)Otto Bittner; Thilo Krachenfels; Andreas Galauner; Jean-Pierre Seifert 2021-08-12 AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. (99%)Hong Wang; Yuefan Deng; Shinjae Yoo; Haibin Ling; Yuewei Lin Deep adversarial attack on target detection systems. (99%)Uche M. Osahor; Nasser M. Nasrabadi Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate. (69%)Hannah Rose Kirk; Bertram Vidgen; Paul Röttger; Tristan Thrush; Scott A. Hale 2021-08-11 Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attacks. (98%)Zitao Chen; Pritam Dash; Karthik Pattabiraman Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms. (78%)Anahita Samadi; Debapriya Banerjee; Shirin Nilizadeh Are Neural Ranking Models Robust? (4%)Chen Wu; Ruqing Zhang; Jiafeng Guo; Yixing Fan; Xueqi Cheng Logic Explained Networks. (1%)Gabriele Ciravegna; Pietro Barbiero; Francesco Giannini; Marco Gori; Pietro Lió; Marco Maggini; Stefano Melacci 2021-08-10 Simple black-box universal adversarial attacks on medical image classification based on deep neural networks. (99%)Kazuki Koga; Kazuhiro Takemoto On the Effect of Pruning on Adversarial Robustness. (81%)Artur Jordao; Helio Pedrini SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version). (68%)Nils Lukas; Edward Jiang; Xinda Li; Florian Kerschbaum Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. (64%)Sanchit Sinha; Hanjie Chen; Arshdeep Sekhon; Yangfeng Ji; Yanjun Qi UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks. (2%)NareshKumar Gurulingan; Elahe Arani; Bahram Zonooz Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation. (1%)Weilun Wang; Wengang Zhou; Jianmin Bao; Dong Chen; Houqiang Li 2021-08-09 Meta Gradient Adversarial Attack. (99%)Zheng Yuan; Jie Zhang; Yunpei Jia; Chuanqi Tan; Tao Xue; Shiguang Shan On Procedural Adversarial Noise Attack And Defense. (99%)Jun Yan; Xiaoyang Deng; Huilin Yin; Wancheng Ge Enhancing Knowledge Tracing via Adversarial Training. (98%)Xiaopeng Guo; Zhijie Huang; Jie Gao; Mingyu Shang; Maojing Shu; Jun Sun Neural Network Repair with Reachability Analysis. (96%)Xiaodong Yang; Tom Yamaguchi; Hoang-Dung Tran; Bardh Hoxha; Taylor T Johnson; Danil Prokhorov Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks. (92%)Fereshteh Razmi; Li Xiong Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning. (82%)Wanqi Xue; Wei Qiu; Bo An; Zinovi Rabinovich; Svetlana Obraztsova; Chai Kiat Yeo Privacy-Preserving Machine Learning: Methods, Challenges and Directions. (16%)Runhua Xu; Nathalie Baracaldo; James Joshi Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images. (15%)Hamza Rasaee; Hassan Rivaz 2021-08-07 Jointly Attacking Graph Neural Network and its Explanations. (96%)Wenqi Fan; Wei Jin; Xiaorui Liu; Han Xu; Xianfeng Tang; Suhang Wang; Qing Li; Jiliang Tang; Jianping Wang; Charu Aggarwal Membership Inference Attacks on Lottery Ticket Networks. (33%)Aadesh Bagmar; Shishira R Maiya; Shruti Bidwalka; Amol Deshpande Information Bottleneck Approach to Spatial Attention Learning. (1%)Qiuxia Lai; Yu Li; Ailing Zeng; Minhao Liu; Hanqiu Sun; Qiang Xu 2021-08-06 Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles. (80%)Jindi Zhang; Yang Lou; Jianping Wang; Kui Wu; Kejie Lu; Xiaohua Jia Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data. (2%)Atik Faysal; Ngui Wai Keng; M. H. Lim 2021-08-05 BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples. (99%)Ismail Alkhouri; Alvaro Velasquez; George Atia Poison Ink: Robust and Invisible Backdoor Attack. (99%)Jie Zhang; Dongdong Chen; Jing Liao; Qidong Huang; Gang Hua; Weiming Zhang; Nenghai Yu Imperceptible Adversarial Examples by Spatial Chroma-Shift. (99%)Ayberk Aydin; Deniz Sen; Berat Tuna Karli; Oguz Hanoglu; Alptekin Temizel Householder Activations for Provable Robustness against Adversarial Attacks. (83%)Sahil Singla; Surbhi Singla; Soheil Feizi Fairness Properties of Face Recognition and Obfuscation Systems. (68%)Harrison Rosenberg; Brian Tang; Kassem Fawaz; Somesh Jha Exploring Structure Consistency for Deep Model Watermarking. (10%)Jie Zhang; Dongdong Chen; Jing Liao; Han Fang; Zehua Ma; Weiming Zhang; Gang Hua; Nenghai Yu Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection. (1%)Tungyu Wu; Youting Wang 2021-08-04 Robust Transfer Learning with Pretrained Language Models through Adapters. (82%)Wenjuan Han; Bo Pang; Yingnian Wu Semi-supervised Conditional GAN for Simultaneous Generation and Detection of Phishing URLs: A Game theoretic Perspective. (31%)Sharif Amit Kamran; Shamik Sengupta; Alireza Tavakkoli 2021-08-03 On the Robustness of Domain Adaption to Adversarial Attacks. (99%)Liyuan Zhang; Yuhang Zhou; Lei Zhang On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples. (99%)Adelin Travers; Lorna Licollari; Guanghan Wang; Varun Chandrasekaran; Adam Dziedzic; David Lie; Nicolas Papernot AdvRush: Searching for Adversarially Robust Neural Architectures. (99%)Jisoo Mok; Byunggook Na; Hyeokjun Choe; Sungroh Yoon The Devil is in the GAN: Defending Deep Generative Models Against Backdoor Attacks. (88%)Ambrish Rawat; Killian Levacher; Mathieu Sinn DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device. (69%)Yoo-Seung Won; Soham Chatterjee; Dirmanto Jap; Arindam Basu; Shivam Bhasin Tutorials on Testing Neural Networks. (1%)Nicolas Berthier; Youcheng Sun; Wei Huang; Yanghao Zhang; Wenjie Ruan; Xiaowei Huang 2021-08-02 Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack. (98%)Reek Majumder; Sakib Mahmud Khan; Fahim Ahmed; Zadid Khan; Frank Ngeni; Gurcan Comert; Judith Mwakalonge; Dimitra Michalaka; Mashrur Chowdhury Adversarial Attacks Against Deep Reinforcement Learning Framework in Internet of Vehicles. (10%)Anum Talpur; Mohan Gurusamy Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks. (9%)Yuwei Sun; Ng Chong; Hideya Ochiai Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles. (1%)Sakib Mahmud Khan; Gurcan Comert; Mashrur Chowdhury 2021-08-01 Advances in adversarial attacks and defenses in computer vision: A survey. (92%)Naveed Akhtar; Ajmal Mian; Navid Kardan; Mubarak Shah Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders. (80%)Huimin Zeng; Jiahao Su; Furong Huang An Effective and Robust Detector for Logo Detection. (70%)Xiaojun Jia; Huanqian Yan; Yonglin Wu; Xingxing Wei; Xiaochun Cao; Yong Zhang Style Curriculum Learning for Robust Medical Image Segmentation. (2%)Zhendong Liu; Van Manh; Xin Yang; Xiaoqiong Huang; Karim Lekadir; Víctor Campello; Nishant Ravikumar; Alejandro F Frangi; Dong Ni 2021-07-31 Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework. (99%)Li Ding; Yongwei Wang; Xin Ding; Kaiwen Yuan; Ping Wang; Hua Huang; Z. Jane Wang Adversarial Robustness of Deep Code Comment Generation. (99%)Yu Zhou; Xiaoqing Zhang; Juanjuan Shen; Tingting Han; Taolue Chen; Harald Gall Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones. (93%)Kelvin Cheng; Christopher Healey; Tianfu Wu T$_k$ML-AP: Adversarial Attacks to Top-$k$ Multi-Label Learning. (81%)Shu Hu; Lipeng Ke; Xin Wang; Siwei Lyu BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning. (67%)Jinyuan Jia; Yupei Liu; Neil Zhenqiang Gong Fair Representation Learning using Interpolation Enabled Disentanglement. (1%)Akshita Jha; Bhanukiran Vinzamuri; Chandan K. Reddy 2021-07-30 Who's Afraid of Thomas Bayes? (92%)Erick Galinkin Practical Attacks on Voice Spoofing Countermeasures. (86%)Andre Kassis; Urs Hengartner Can You Hear It? Backdoor Attacks via Ultrasonic Triggers. (50%)Stefanos Koffas; Jing Xu; Mauro Conti; Stjepan Picek Unveiling the potential of Graph Neural Networks for robust Intrusion Detection. (13%)David Pujol-Perich; José Suárez-Varela; Albert Cabellos-Aparicio; Pere Barlet-Ros 2021-07-29 Feature Importance-aware Transferable Adversarial Attacks. (99%)Zhibo Wang; Hengchang Guo; Zhifei Zhang; Wenxin Liu; Zhan Qin; Kui Ren Enhancing Adversarial Robustness via Test-time Transformation Ensembling. (98%)Juan C. Pérez; Motasem Alfarra; Guillaume Jeanneret; Laura Rueda; Ali Thabet; Bernard Ghanem; Pablo Arbeláez The Robustness of Graph k-shell Structure under Adversarial Attacks. (93%)B. Zhou; Y. Q. Lv; Y. C. Mao; J. H. Wang; S. Q. Yu; Q. Xuan Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality. (31%)Vito Walter Anelli; Yashar Deldjoo; Noia Tommaso Di; Felice Antonio Merra Towards robust vision by multi-task learning on monkey visual cortex. (3%)Shahd Safarani; Arne Nix; Konstantin Willeke; Santiago A. Cadena; Kelli Restivo; George Denfield; Andreas S. Tolias; Fabian H. Sinz 2021-07-28 Imbalanced Adversarial Training with Reweighting. (86%)Wentao Wang; Han Xu; Xiaorui Liu; Yaxin Li; Bhavani Thuraisingham; Jiliang Tang Towards Robustness Against Natural Language Word Substitutions. (73%)Xinshuai Dong; Anh Tuan Luu; Rongrong Ji; Hong Liu Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases. (67%)Ettore Merlo; Mira Marhaba; Foutse Khomh; Houssem Ben Braiek; Giuliano Antoniol WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification. (15%)Qiufu Li; Linlin Shen; Sheng Guo; Zhihui Lai TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. (2%)Aoting Hu; Renjie Xie; Zhigang Lu; Aiqun Hu; Minhui Xue 2021-07-27 Towards Black-box Attacks on Deep Learning Apps. (89%)Hongchen Cao; Shuai Li; Yuming Zhou; Ming Fan; Xuejiao Zhao; Yutian Tang Poisoning Online Learning Filters: DDoS Attacks and Countermeasures. (50%)Wesley Joon-Wie Tann; Ee-Chien Chang PDF-Malware: An Overview on Threats, Detection and Evasion Attacks. (8%)Nicolas Fleury; Theo Dubrunquez; Ihsen Alouani 2021-07-26 Benign Adversarial Attack: Tricking Models for Goodness. (99%)Jitao Sang; Xian Zhao; Jiaming Zhang; Zhiyu Lin Learning to Adversarially Blur Visual Object Tracking. (98%)Qing Guo; Ziyi Cheng; Felix Juefei-Xu; Lei Ma; Xiaofei Xie; Yang Liu; Jianjun Zhao Adversarial Attacks with Time-Scale Representations. (96%)Alberto Santamaria-Pang; Jianwei Qiu; Aritra Chowdhury; James Kubricht; Peter Tu; Iyer Naresh; Nurali Virani 2021-07-24 Adversarial training may be a double-edged sword. (99%)Ali Rahmati; Seyed-Mohsen Moosavi-Dezfooli; Huaiyu Dai Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them. (98%)Florian Tramèr Stress Test Evaluation of Biomedical Word Embeddings. (73%)Vladimir Araujo; Andrés Carvallo; Carlos Aspillaga; Camilo Thorne; Denis Parra X-GGM: Graph Generative Modeling for Out-of-Distribution Generalization in Visual Question Answering. (1%)Jingjing Jiang; Ziyi Liu; Yifan Liu; Zhixiong Nan; Nanning Zheng 2021-07-23 A Differentiable Language Model Adversarial Attack on Text Classifiers. (99%)Ivan Fursov; Alexey Zaytsev; Pavel Burnyshev; Ekaterina Dmitrieva; Nikita Klyuchnikov; Andrey Kravchenko; Ekaterina Artemova; Evgeny Burnaev Structack: Structure-based Adversarial Attacks on Graph Neural Networks. (86%)Hussain Hussain; Tomislav Duricic; Elisabeth Lex; Denis Helic; Markus Strohmaier; Roman Kern Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. (45%)Bingqian Lin; Yi Zhu; Yanxin Long; Xiaodan Liang; Qixiang Ye; Liang Lin Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. (8%)Yunhui Guo; Xudong Wang; Yubei Chen; Stella X. Yu 2021-07-22 On the Certified Robustness for Ensemble Models and Beyond. (99%)Zhuolin Yang; Linyi Li; Xiaojun Xu; Bhavya Kailkhura; Tao Xie; Bo Li Unsupervised Detection of Adversarial Examples with Model Explanations. (99%)Gihyuk Ko; Gyumin Lim Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning. (83%)Yi Shi; Yalin E. Sagduyu Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks. (75%)Ramin Barati; Reza Safabakhsh; Mohammad Rahmati Estimating Predictive Uncertainty Under Program Data Distribution Shift. (1%)Yufei Li; Simin Chen; Wei Yang Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. (1%)Fan Wu; Min Gao; Junliang Yu; Zongwei Wang; Kecheng Liu; Xu Wange 2021-07-21 Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. (98%)Huimin Wu; Zhengmian Hu; Bin Gu Improved Text Classification via Contrastive Adversarial Training. (84%)Lin Pan; Chung-Wei Hang; Avirup Sil; Saloni Potdar Black-box Probe for Unsupervised Domain Adaptation without Model Transferring. (81%)Kunhong Wu; Yucheng Shi; Yahong Han; Yunfeng Shao; Bingshuai Li Defending against Reconstruction Attack in Vertical Federated Learning. (10%)Jiankai Sun; Yuanshun Yao; Weihao Gao; Junyuan Xie; Chong Wang Generative Models for Security: Attacks, Defenses, and Opportunities. (10%)Luke A. Bauer; Vincent Bindschaedler A Tandem Framework Balancing Privacy and Security for Voice User Interfaces. (5%)Ranya Aloufi; Hamed Haddadi; David Boyle Spinning Sequence-to-Sequence Models with Meta-Backdoors. (4%)Eugene Bagdasaryan; Vitaly Shmatikov On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms. (2%)Shuyu Cheng; Guoqiang Wu; Jun Zhu 2021-07-20 Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks. (99%)Saikat Majumdar; Mohammad Hossein Samavatian; Kristin Barber; Radu Teodorescu A Markov Game Model for AI-based Cyber Security Attack Mitigation. (10%)Hooman Alavizadeh; Julian Jang-Jaccard; Tansu Alpcan; Seyit A. Camtepe Leaking Secrets through Modern Branch Predictor in the Speculative World. (1%)Md Hafizul Islam Chowdhuryy; Fan Yao 2021-07-19 Discriminator-Free Generative Adversarial Attack. (99%)Shaohao Lu; Yuqiao Xian; Ke Yan; Yi Hu; Xing Sun; Xiaowei Guo; Feiyue Huang; Wei-Shi Zheng Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features. (99%)Hui Liu; Bo Zhao; Yuefeng Peng; Jiabao Guo; Peng Liu Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition. (98%)Benjamin Spetter-Goldstein; Nataniel Ruiz; Sarah Adel Bargal On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples. (80%)Verena Praher; Katharina Prinz; Arthur Flexer; Gerhard Widmer MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI. (33%)Takayuki Miura; Satoshi Hasegawa; Toshiki Shibahara Structural Watermarking to Deep Neural Networks via Network Channel Pruning. (11%)Xiangyu Zhao; Yinzhe Yao; Hanzhou Wu; Xinpeng Zhang Generative Adversarial Neural Cellular Automata. (1%)Maximilian Otte; Quentin Delfosse; Johannes Czech; Kristian Kersting Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units. (1%)Woo-Jeoung Nam; Seong-Whan Lee Just Train Twice: Improving Group Robustness without Training Group Information. (1%)Evan Zheran Liu; Behzad Haghgoo; Annie S. Chen; Aditi Raghunathan; Pang Wei Koh; Shiori Sagawa; Percy Liang; Chelsea Finn 2021-07-18 RobustFed: A Truth Inference Approach for Robust Federated Learning. (1%)Farnaz Tahmasebian; Jian Lou; Li Xiong 2021-07-17 BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark. (9%)Anand Avati; Martin Seneviratne; Emily Xue; Zhen Xu; Balaji Lakshminarayanan; Andrew M. Dai 2021-07-16 EGC2: Enhanced Graph Classification with Easy Graph Compression. (84%)Jinyin Chen; Dunjie Zhang; Zhaoyan Ming; Mingwei Jia; Yi Liu Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. (1%)Quanshi Zhang; Tian Han; Lixin Fan; Zhanxing Zhu; Hang Su; Ying Nian Wu; Jie Ren; Hao Zhang 2021-07-15 Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks. (99%)Zhao Meng; Yihan Dong; Mrinmaya Sachan; Roger Wattenhofer Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. (98%)Ibrahim Sobh; Ahmed Hamed; Varun Ravi Kumar; Senthil Yogamani ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks. (92%)Khondker Fariha Hossain; Sharif Amit Kamran; Alireza Tavakkoli; Lei Pan; Xingjun Ma; Sutharshan Rajasegarar; Chandan Karmaker Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks. (80%)Ismail Alarab; Simant Prakoonwit Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting. (16%)Xiangyu Qi; Jifeng Zhu; Chulin Xie; Yong Yang Tailor: Generating and Perturbing Text with Semantic Controls. (3%)Alexis Ross; Tongshuang Wu; Hao Peng; Matthew E. Peters; Matt Gardner Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks. (1%)Andrey Malinin; Neil Band; Ganshin; Alexander; German Chesnokov; Yarin Gal; Mark J. F. Gales; Alexey Noskov; Andrey Ploskonosov; Liudmila Prokhorenkova; Ivan Provilkov; Vatsal Raina; Vyas Raina; Roginskiy; Denis; Mariya Shmatova; Panos Tigas; Boris Yangel 2021-07-14 AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning. (99%)Yihao Huang; Qing Guo; Felix Juefei-Xu; Lei Ma; Weikai Miao; Yang Liu; Geguang Pu Conservative Objective Models for Effective Offline Model-Based Optimization. (67%)Brandon Trabucco; Aviral Kumar; Xinyang Geng; Sergey Levine 2021-07-13 AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense. (88%)Duhun Hwang; Eunjung Lee; Wonjong Rhee Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection. (69%)Sergio Rojas-Galeano Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. (41%)M. Ben Amor; J. Stier; M. Granitzer What classifiers know what they don't? (1%)Mohamed Ishmael Belghazi; David Lopez-Paz 2021-07-12 EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks. (99%)Andrei Ilie; Marius Popescu; Alin Stefanescu Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising. (99%)Anouar Kherchouche; Sid Ahmed Fezza; Wassim Hamidouche Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems. (96%)Anirudh Sreeram; Nicholas Mehlman; Raghuveer Peri; Dillon Knox; Shrikanth Narayanan Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. (81%)Jun Wang; Chang Xu; Francisco Guzman; Ahmed El-Kishky; Yuqing Tang; Benjamin I. P. Rubinstein; Trevor Cohn A Closer Look at the Adversarial Robustness of Information Bottleneck Models. (70%)Iryna Korshunova; David Stutz; Alexander A. Alemi; Olivia Wiles; Sven Gowal SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. (56%)Timoleon Moraitis; Dmitry Toichkin; Yansong Chua; Qinghai Guo 2021-07-11 Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks. (76%)Kendra Albert; Maggie Delano; Bogdan Kulynych; Ram Shankar Siva Kumar Stateful Detection of Model Extraction Attacks. (2%)Soham Pal; Yash Gupta; Aditya Kanade; Shirish Shevade Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning. (1%)Muhammad Azmi Umer; Chuadhry Mujeeb Ahmed; Muhammad Taha Jilani; Aditya P. Mathur 2021-07-10 Hack The Box: Fooling Deep Learning Abstraction-Based Monitors. (91%)Sara Hajj Ibrahim; Mohamed Nassar HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks. (88%)Florian Tambon; Giulio Antoniol; Foutse Khomh Identifying Layers Susceptible to Adversarial Attacks. (83%)Shoaib Ahmed Siddiqui; Thomas Breuel Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis. (22%)Anisie Uwimana1; Ransalu Senanayake Cyber-Security Challenges in Aviation Industry: A Review of Current and Future Trends. (1%)Elochukwu Ukwandu; Mohamed Amine Ben Farah; Hanan Hindy; Miroslav Bures; Robert Atkinson; Christos Tachtatzis; Xavier Bellekens 2021-07-09 Learning to Detect Adversarial Examples Based on Class Scores. (99%)Tobias Uelwer; Felix Michels; Candido Oliver De Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations. (99%)Mohammad Nayeem Teli; Seungwon Oh Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. (99%)Shangyu Xie; Han Wang; Yu Kong; Yuan Hong GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network. (98%)Zuohui Chen; Renxuan Wang; Jingyang Xiang; Yue Yu; Xin Xia; Shouling Ji; Qi Xuan; Xiaoniu Yang Towards Robust General Medical Image Segmentation. (83%)Laura Daza; Juan C. Pérez; Pablo Arbeláez ARC: Adversarially Robust Control Policies for Autonomous Vehicles. (38%)Sampo Kuutti; Saber Fallah; Richard Bowden 2021-07-08 Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models. (99%)Daniel Park; Haidar Khan; Azer Khan; Alex Gittens; Bülent Yener Improving Model Robustness with Latent Distribution Locally and Globally. (99%)Zhuang Qian; Shufei Zhang; Kaizhu Huang; Qiufeng Wang; Rui Zhang; Xinping Yi Analytically Tractable Hidden-States Inference in Bayesian Neural Networks. (50%)Luong-Ha Nguyen; James-A. Goulet Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. (33%)Akshay Mehra; Bhavya Kailkhura; Pin-Yu Chen; Jihun Hamm 2021-07-07 Controlled Caption Generation for Images Through Adversarial Attacks. (99%)Nayyer Aafaq; Naveed Akhtar; Wei Liu; Mubarak Shah; Ajmal Mian Incorporating Label Uncertainty in Understanding Adversarial Robustness. (38%)Xiao Zhang; David Evans RoFL: Attestable Robustness for Secure Federated Learning. (2%)Lukas Burkhalter; Hidde Lycklama; Alexander Viand; Nicolas Küchler; Anwar Hithnawi 2021-07-06 GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization. (99%)Sungyoon Lee; Hoki Kim; Jaewook Lee Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization. (95%)Long Zhuo; Shunquan Tan; Bin Li; Jiwu Huang ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients. (76%)Alessandro Cappelli; Julien Launay; Laurent Meunier; Ruben Ohana; Iacopo Poli On Generalization of Graph Autoencoders with Adversarial Training. (12%)Tianjin huang; Yulong Pei; Vlado Menkovski; Mykola Pechenizkiy On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving. (1%)Takami Sato; Qi Alfred Chen 2021-07-05 When and How to Fool Explainable Models (and Humans) with Adversarial Examples. (99%)Jon Vadillo; Roberto Santana; Jose A. Lozano Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. (99%)Xiao Yang; Yinpeng Dong; Tianyu Pang; Hang Su; Jun Zhu Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. (87%)Xi Chen; Bo Kang; Jefrey Lijffijt; Bie Tijl De Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning. (69%)Mathias Löwe; Jennifer Villareale; Evan Freed; Aleksanteri Sladek; Jichen Zhu; Sebastian Risi Understanding the Security of Deepfake Detection. (33%)Xiaoyu Cao; Neil Zhenqiang Gong Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems. (15%)Ron Bitton; Nadav Maman; Inderjeet Singh; Satoru Momiyama; Yuval Elovici; Asaf Shabtai Poisoning Attack against Estimating from Pairwise Comparisons. (15%)Ke Ma; Qianqian Xu; Jinshan Zeng; Xiaochun Cao; Qingming Huang Confidence Conditioned Knowledge Distillation. (10%)Sourav Mishra; Suresh Sundaram 2021-07-04 Certifiably Robust Interpretation via Renyi Differential Privacy. (67%)Ao Liu; Xiaoyu Chen; Sijia Liu; Lirong Xia; Chuang Gan Mirror Mirror on the Wall: Next-Generation Wireless Jamming Attacks Based on Software-Controlled Surfaces. (1%)Paul Staat; Harald Elders-Boll; Christian Zenger; Christof Paar 2021-07-03 Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity. (99%)Yajie Wang; Shangbo Wu; Wenyi Jiang; Shengang Hao; Yu-an Tan; Quanxin Zhang 2021-07-01 Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples. (99%)Nelson Manohar-Alers; Ryan Feng; Sahib Singh; Jiguo Song; Atul Prakash DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. (99%)Alberto Marchisio; Giacomo Pira; Maurizio Martina; Guido Masera; Muhammad Shafique CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. (68%)Dong Wang; Ning Ding; Piji Li; Hai-Tao Zheng Adversarial Sample Detection for Speaker Verification by Neural Vocoders. (41%)Haibin Wu; Po-chun Hsu; Ji Gao; Shanshan Zhang; Shen Huang; Jian Kang; Zhiyong Wu; Helen Meng; Hung-yi Lee The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. (16%)Alireza Mousavi Hosseini; Amir Mohammad Abouei; Mohammad Hossein Rohban Reinforcement Learning for Feedback-Enabled Cyber Resilience. (10%)Yunhan Huang; Linan Huang; Quanyan Zhu 2021-06-30 Single-Step Adversarial Training for Semantic Segmentation. (96%)Daniel Wiens; Barbara Hammer Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning. (84%)You Qiaoben; Chengyang Ying; Xinning Zhou; Hang Su; Jun Zhu; Bo Zhang Explanation-Guided Diagnosis of Machine Learning Evasion Attacks. (82%)Abderrahmen Amich; Birhanu Eshete Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes. (8%)Mustain Billah; Adnan Anwar; Ziaur Rahman; Syed Md. Galib Exploring Robustness of Neural Networks through Graph Measures. (8%)Asim Rowan University Waqas; Ghulam Rowan University Rasool; Hamza University of Minnesota Farooq; Nidhal C. Rowan University Bouaynaya A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things. (1%)Khizar Hameed; Saurabh Garg; Muhammad Bilal Amin; Byeong Kang; Abid Khan Understanding and Improving Early Stopping for Learning with Noisy Labels. (1%)Yingbin Bai; Erkun Yang; Bo Han; Yanhua Yang; Jiatong Li; Yinian Mao; Gang Niu; Tongliang Liu 2021-06-29 Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges. (99%)Bowei Xi Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions. (99%)Juan Shu; Bowei Xi; Charles Kamhoua Attack Transferability Characterization for Adversarially Robust Multi-label Classification. (99%)Zhuo Yang; Yufei Han; Xiangliang Zhang Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices. (99%)Tao Bai; Jinqi Luo; Jun Zhao Bio-Inspired Adversarial Attack Against Deep Neural Networks. (98%)Bowei Xi; Yujie Chen; Fan Fei; Zhan Tu; Xinyan Deng Do Not Deceive Your Employer with a Virtual Background: A Video Conferencing Manipulation-Detection System. (62%)Mauro Conti; Simone Milani; Ehsan Nowroozi; Gabriele Orazi The Threat of Offensive AI to Organizations. (54%)Yisroel Mirsky; Ambra Demontis; Jaidip Kotak; Ram Shankar; Deng Gelei; Liu Yang; Xiangyu Zhang; Wenke Lee; Yuval Elovici; Battista Biggio Local Reweighting for Adversarial Training. (22%)Ruize Gao; Feng Liu; Kaiwen Zhou; Gang Niu; Bo Han; James Cheng On the Interaction of Belief Bias and Explanations. (15%)Ana Valeria Gonzalez; Anna Rogers; Anders Søgaard 2021-06-28 Feature Importance Guided Attack: A Model Agnostic Adversarial Attack. (99%)Gilad Gressel; Niranjan Hegde; Archana Sreekumar; Michael Darling Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent. (99%)Oliver Bryniarski; Nabeel Hingun; Pedro Pachuca; Vincent Wang; Nicholas Carlini Improving Transferability of Adversarial Patches on Face Recognition with Generative Models. (99%)Zihao Xiao; Xianfeng Gao; Chilin Fu; Yinpeng Dong; Wei Gao; Xiaolu Zhang; Jun Zhou; Jun Zhu Data Poisoning Won't Save You From Facial Recognition. (97%)Evani Radiya-Dixit; Florian Tramèr Adversarial Robustness of Streaming Algorithms through Importance Sampling. (61%)Vladimir Braverman; Avinatan Hassidim; Yossi Matias; Mariano Schain; Sandeep Silwal; Samson Zhou Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. (2%)Chaithanya Kumar Mummadi; Robin Hutmacher; Kilian Rambach; Evgeny Levinkov; Thomas Brox; Jan Hendrik Metzen Certified Robustness via Randomized Smoothing over Multiplicative Parameters. (1%)Nikita Muravev; Aleksandr Petiushko Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis. (1%)Chuanpu Fu; Qi Li; Meng Shen; Ke Xu 2021-06-27 RAILS: A Robust Adversarial Immune-inspired Learning System. (98%)Ren Wang; Tianqi Chen; Stephen Lindsly; Cooper Stansbury; Alnawaz Rehemtulla; Indika Rajapakse; Alfred Hero Who is Responsible for Adversarial Defense? (93%)Kishor Datta Gupta; Dipankar Dasgupta ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. (82%)Ren Wang; Tianqi Chen; Philip Yao; Sijia Liu; Indika Rajapakse; Alfred Hero Immuno-mimetic Deep Neural Networks (Immuno-Net). (64%)Ren Wang; Tianqi Chen; Stephen Lindsly; Cooper Stansbury; Indika Rajapakse; Alfred Hero Stabilizing Equilibrium Models by Jacobian Regularization. (1%)Shaojie Bai; Vladlen Koltun; J. Zico Kolter 2021-06-26 Multi-stage Optimization based Adversarial Training. (99%)Xiaosen Wang; Chuanbiao Song; Liwei Wang; Kun He The Feasibility and Inevitability of Stealth Attacks. (68%)Ivan Y. Tyukin; Desmond J. Higham; Eliyas Woldegeorgis; Alexander N. Gorban 2021-06-24 On the (Un-)Avoidability of Adversarial Examples. (99%)Sadia Chowdhury; Ruth Urner Countering Adversarial Examples: Combining Input Transformation and Noisy Training. (99%)Cheng Zhang; Pan Gao Break it, Fix it: Attack and Defense for "Add-on'' Access Control Solutions in Distributed Data Analytics Platforms. (8%)Fahad Data Security Technologies Shaon; Sazzadur University of Arizona Rahaman; Murat Data Security Technologies Kantarcioglu 2021-06-23 Adversarial Examples in Multi-Layer Random ReLU Networks. (81%)Peter L. Bartlett; Sébastien Bubeck; Yeshwanth Cherapanamjeri Teacher Model Fingerprinting Attacks Against Transfer Learning. (2%)Yufei Chen; Chao Shen; Cong Wang; Yang Zhang Meaningfully Explaining Model Mistakes Using Conceptual Counterfactuals. (1%)Abubakar Abid; Mert Yuksekgonul; James Zou Feature Attributions and Counterfactual Explanations Can Be Manipulated. (1%)Dylan Slack; Sophie Hilgard; Sameer Singh; Himabindu Lakkaraju 2021-06-22 DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays. (99%)Abhishek Moitra; Priyadarshini Panda Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack. (99%)Sungmin Cha; Naeun Ko; Youngjoon Yoo; Taesup Moon Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks. (83%)Fan Liu; Shuyu Zhao; Xuelong Dai; Bin Xiao On Adversarial Robustness of Synthetic Code Generation. (81%)Mrinal Anand; Pratik Kayal; Mayank Singh NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data. (67%)I-Chung Hsieh; Cheng-Te Li 2021-06-21 Policy Smoothing for Provably Robust Reinforcement Learning. (99%)Aounon Kumar; Alexander Levine; Soheil Feizi Delving into the pixels of adversarial samples. (98%)Blerta Lindqvist HODA: Hardness-Oriented Detection of Model Extraction Attacks. (98%)Amir Mahdi Sadeghzadeh; Amir Mohammad Sobhanian; Faezeh Dehghan; Rasool Jalili Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. (91%)Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci Membership Inference on Word Embedding and Beyond. (38%)Saeed Mahloujifar; Huseyin A. Inan; Melissa Chase; Esha Ghosh; Marcello Hasegawa An Alternative Auxiliary Task for Enhancing Image Classification. (11%)Chen Liu Zero-shot learning approach to adaptive Cybersecurity using Explainable AI. (1%)Dattaraj Rao; Shraddha Mane 2021-06-20 Adversarial Examples Make Strong Poisons. (98%)Liam Fowl; Micah Goldblum; Ping-yeh Chiang; Jonas Geiping; Wojtek Czaja; Tom Goldstein Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. (95%)Jiaqi Ma; Junwei Deng; Qiaozhu Mei Generative Model Adversarial Training for Deep Compressed Sensing. (8%)Ashkan Esmaeili 2021-06-19 Attack to Fool and Explain Deep Networks. (99%)Naveed Akhtar; Muhammad A. A. K. Jalwana; Mohammed Bennamoun; Ajmal Mian A Stealthy and Robust Fingerprinting Scheme for Generative Models. (47%)Li Guanlin; Guo Shangwei; Wang Run; Xu Guowen; Zhang Tianwei 2021-06-18 Residual Error: a New Performance Measure for Adversarial Robustness. (99%)Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. (99%)Maura Pintor; Luca Demetrio; Angelo Sotgiu; Ambra Demontis; Nicholas Carlini; Battista Biggio; Fabio Roli The Dimpled Manifold Model of Adversarial Examples in Machine Learning. (99%)Adi Shamir; Odelia Melamed; Oriel BenShmuel Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis. (99%)Martin Pawelczyk; Chirag Agarwal; Shalmali Joshi; Sohini Upadhyay; Himabindu Lakkaraju Light Lies: Optical Adversarial Attack. (92%)Kyulim Kim; JeongSoo Kim; Seungri Song; Jun-Ho Choi; Chulmin Joo; Jong-Seok Lee BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. (82%)Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jian Ren; Kai Zhou Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks. (80%)Emre Ozfatura; Muhammad Zaid Hameed; Kerem Ozfatura; Deniz Gunduz Group-Structured Adversarial Training. (68%)Farzan Farnia; Amirali Aghazadeh; James Zou; David Tse Accumulative Poisoning Attacks on Real-time Data. (45%)Tianyu Pang; Xiao Yang; Yinpeng Dong; Hang Su; Jun Zhu Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks. (45%)Suyoung Lee; Wonho Song; Suman Jana; Meeyoung Cha; Sooel Son Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning. (5%)Junyuan Hong; Haotao Wang; Zhangyang Wang; Jiayu Zhou 2021-06-17 Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective. (99%)Lina Wang; Xingshu Chen; Yulong Wang; Yawei Yue; Yi Zhu; Xuemei Zeng; Wei Wang Bad Characters: Imperceptible NLP Attacks. (99%)Nicholas Boucher; Ilia Shumailov; Ross Anderson; Nicolas Papernot DeepInsight: Interpretability Assisting Detection of Adversarial Samples on Graphs. (99%)Junhao Zhu; Yalu Shan; Jinhuan Wang; Shanqing Yu; Guanrong Chen; Qi Xuan Adversarial Visual Robustness by Causal Intervention. (99%)Kaihua Tang; Mingyuan Tao; Hanwang Zhang Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. (92%)Shubham Jain; Ana-Maria Cretu; Montjoye Yves-Alexandre de Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. (91%)Yulong *co-first authors Cao*; Ningfei *co-first authors Wang*; Chaowei *co-first authors Xiao*; Dawei *co-first authors Yang*; Jin *co-first authors Fang; Ruigang *co-first authors Yang; Qi Alfred *co-first authors Chen; Mingyan *co-first authors Liu; Bo *co-first authors Li Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems. (82%)Giovanni Apruzzese; Mauro Andreolini; Luca Ferretti; Mirco Marchetti; Michele Colajanni Poisoning and Backdooring Contrastive Learning. (70%)Nicholas Carlini; Andreas Terzis CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing. (69%)Fan Wu; Linyi Li; Zijian Huang; Yevgeniy Vorobeychik; Ding Zhao; Bo Li CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing. (64%)Moshi Wei; Yuchao Huang; Jinqiu Yang; Junjie Wang; Song Wang On Deep Neural Network Calibration by Regularization and its Impact on Refinement. (3%)Aditya Singh; Alessandro Bay; Biswa Sengupta; Andrea Mirabile Effective Model Sparsification by Scheduled Grow-and-Prune Methods. (1%)Xiaolong Ma; Minghai Qin; Fei Sun; Zejiang Hou; Kun Yuan; Yi Xu; Yanzhi Wang; Yen-Kuang Chen; Rong Jin; Yuan Xie 2021-06-16 Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses. (99%)Buse G. A. Tekgul; Shelly Wang; Samuel Marchal; N. Asokan Localized Uncertainty Attacks. (99%)Ousmane Amadou Dia; Theofanis Karaletsos; Caner Hazirbas; Cristian Canton Ferrer; Ilknur Kaynar Kabul; Erik Meijer Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks. (67%)Yutian Pang; Sheng Cheng; Jueming Hu; Yongming Liu Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. (38%)Hossein Souri; Liam Fowl; Rama Chellappa; Micah Goldblum; Tom Goldstein Explainable AI for Natural Adversarial Images. (13%)Tomas Folke; ZhaoBin Li; Ravi B. Sojitra; Scott Cheng-Hsin Yang; Patrick Shafto A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness. (2%)James Diffenderfer; Brian R. Bartoldson; Shreya Chaganti; Jize Zhang; Bhavya Kailkhura Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework. (1%)Jiahao Su; Wonmin Byeon; Furong Huang Loki: Hardening Code Obfuscation Against Automated Attacks. (1%)Moritz Schloegel; Tim Blazytko; Moritz Contag; Cornelius Aschermann; Julius Basler; Thorsten Holz; Ali Abbasi 2021-06-15 Adversarial Attacks on Deep Models for Financial Transaction Records. (99%)Ivan Fursov; Matvey Morozov; Nina Kaploukhaya; Elizaveta Kovtun; Rodrigo Rivera-Castro; Gleb Gusev; Dmitry Babaev; Ivan Kireev; Alexey Zaytsev; Evgeny Burnaev Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information. (99%)Tommy Li; Cory Merkel Towards Adversarial Robustness via Transductive Learning. (80%)Jiefeng Chen; Yang Guo; Xi Wu; Tianqi Li; Qicheng Lao; Yingyu Liang; Somesh Jha Voting for the right answer: Adversarial defense for speaker verification. (78%)Haibin Wu; Yang Zhang; Zhiyong Wu; Dong Wang; Hung-yi Lee Detect and remove watermark in deep neural networks via generative adversarial networks. (68%)Haoqi Wang; Mingfu Xue; Shichang Sun; Yushu Zhang; Jian Wang; Weiqiang Liu CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. (13%)Chulin Xie; Minghao Chen; Pin-Yu Chen; Bo Li Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns. (12%)Man Senior Member, IEEE Zhou; Qian Senior Member, IEEE Wang; Qi Senior Member, IEEE Li; Peipei Senior Member, IEEE Jiang; Jingxiao Senior Member, IEEE Yang; Chao Senior Member, IEEE Shen; Cong Fellow, IEEE Wang; Shouhong Ding Probabilistic Margins for Instance Reweighting in Adversarial Training. (8%)Qizhou Wang; Feng Liu; Bo Han; Tongliang Liu; Chen Gong; Gang Niu; Mingyuan Zhou; Masashi Sugiyama CAN-LOC: Spoofing Detection and Physical Intrusion Localization on an In-Vehicle CAN Bus Based on Deep Features of Voltage Signals. (1%)Efrat Levy; Asaf Shabtai; Bogdan Groza; Pal-Stefan Murvay; Yuval Elovici 2021-06-14 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers. (99%)Carl-Johann Simon-Gabriel; Noman Ahmed Sheikh; Andreas Krause Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology. (99%)Alex Foote; Amina Asif; Ayesha Azam; Tim Marshall-Cox; Nasir Rajpoot; Fayyaz Minhas Audio Attacks and Defenses against AED Systems -- A Practical Study. (99%)Rodrigo dos Santos; Shirin Nilizadeh Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions. (92%)Antonio Emanuele Cinà; Kathrin Grosse; Sebastiano Vascon; Ambra Demontis; Battista Biggio; Fabio Roli; Marcello Pelillo Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery. (81%)John Boutsikas; Maksim E. Eren; Charles Varga; Edward Raff; Cynthia Matuszek; Charles Nicholas On the Relationship between Heterophily and Robustness of Graph Neural Networks. (81%)Jiong Zhu; Junchen Jin; Donald Loveland; Michael T. Schaub; Danai Koutra Partial success in closing the gap between human and machine vision. (15%)Robert Geirhos; Kantharaju Narayanappa; Benjamin Mitzkus; Tizian Thieringer; Matthias Bethge; Felix A. Wichmann; Wieland Brendel Text Generation with Efficient (Soft) Q-Learning. (2%)Han Guo; Bowen Tan; Zhengzhong Liu; Eric P. Xing; Zhiting Hu Resilient Control of Platooning Networked Robitic Systems via Dynamic Watermarking. (1%)Matthew Porter; Arnav Joshi; Sidhartha Dey; Qirui Wu; Pedro Hespanhol; Anil Aswani; Matthew Johnson-Roberson; Ram Vasudevan Self-training Guided Adversarial Domain Adaptation For Thermal Imagery. (1%)Ibrahim Batuhan Akkaya; Fazil Altinel; Ugur Halici Code Integrity Attestation for PLCs using Black Box Neural Network Predictions. (1%)Yuqi Chen; Christopher M. Poskitt; Jun Sun 2021-06-13 Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models. (99%)Jatin Chauhan; Karan Bhukar; Manohar Kaul Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. (99%)Utku Ozbulak; Esla Timothy Anzaku; Neve Wesley De; Messem Arnout Van ATRAS: Adversarially Trained Robust Architecture Search. (96%)Yigit Alparslan; Edward Kim Security Analysis of Camera-LiDAR Semantic-Level Fusion Against Black-Box Attacks on Autonomous Vehicles. (64%)R. Spencer Hallyburton; Yupei Liu; Miroslav Pajic Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. (1%)Kangning Liu; Yiqiu Shen; Nan Wu; Jakub Chłędowski; Carlos Fernandez-Granda; Krzysztof J. Geras HistoTransfer: Understanding Transfer Learning for Histopathology. (1%)Yash Sharma; Lubaina Ehsan; Sana Syed; Donald E. Brown 2021-06-12 Adversarial Robustness via Fisher-Rao Regularization. (67%)Marine Picot; Francisco Messina; Malik Boudiaf; Fabrice Labeau; Ismail Ben Ayed; Pablo Piantanida What can linearized neural networks actually say about generalization? (31%)Guillermo Ortiz-Jiménez; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack. (2%)Tolulope Odetola; Faiq Khalid; Travis Sandefur; Hawzhin Mohammed; Syed Rafay Hasan 2021-06-11 CausalAdv: Adversarial Robustness through the Lens of Causality. (99%)Yonggang Zhang; Mingming Gong; Tongliang Liu; Gang Niu; Xinmei Tian; Bo Han; Bernhard Schölkopf; Kun Zhang Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. (99%)Nezihe Merve Gürel; Xiangyu Qi; Luka Rimanic; Ce Zhang; Bo Li Adversarial purification with Score-based generative models. (89%)Jongmin Yoon; Sung Ju Hwang; Juho Lee Relaxing Local Robustness. (80%)Klas Leino; Matt Fredrikson TDGIA:Effective Injection Attacks on Graph Neural Networks. (76%)Xu Zou; Qinkai Zheng; Yuxiao Dong; Xinyu Guan; Evgeny Kharlamov; Jialiang Lu; Jie Tang Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution. (56%)Fanchao Qi; Yuan Yao; Sophia Xu; Zhiyuan Liu; Maosong Sun CARTL: Cooperative Adversarially-Robust Transfer Learning. (8%)Dian Chen; Hongxin Hu; Qian Wang; Yinli Li; Cong Wang; Chao Shen; Qi Li A Shuffling Framework for Local Differential Privacy. (1%)Casey Meehan; Amrita Roy Chowdhury; Kamalika Chaudhuri; Somesh Jha 2021-06-10 Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm. (99%)Mingkang Zhu; Tianlong Chen; Zhangyang Wang Deep neural network loses attention to adversarial images. (99%)Shashank Kotyan; Danilo Vasconcellos Vargas Verifying Quantized Neural Networks using SMT-Based Model Checking. (92%)Luiz Sena; Xidan Song; Erickson Alves; Iury Bessa; Edoardo Manino; Lucas Cordeiro; Eddie de Lima Filho Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. (80%)Jiawei Zhang; Linyi Li; Huichen Li; Xiaolu Zhang; Shuang Yang; Bo Li An Ensemble Approach Towards Adversarial Robustness. (41%)Haifeng Qian Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning. (1%)Nicola Loi; Claudio Borile; Daniele Ucci Fair Classification with Adversarial Perturbations. (1%)L. Elisa Celis; Anay Mehrotra; Nisheeth K. Vishnoi 2021-06-09 HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks. (99%)Mohammad Hossein Samavatian; Saikat Majumdar; Kristin Barber; Radu Teodorescu Towards Defending against Adversarial Examples via Attack-Invariant Features. (99%)Dawei Zhou; Tongliang Liu; Bo Han; Nannan Wang; Chunlei Peng; Xinbo Gao Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training. (99%)Dawei Zhou; Nannan Wang; Xinbo Gao; Bo Han; Jun Yu; Xiaoyu Wang; Tongliang Liu Attacking Adversarial Attacks as A Defense. (99%)Boxi Wu; Heng Pan; Li Shen; Jindong Gu; Shuai Zhao; Zhifeng Li; Deng Cai; Xiaofei He; Wei Liu We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature. (98%)Bin Liang; Jiachun Li; Jianjun Huang Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. (93%)Yanchao Sun; Ruijie Zheng; Yongyuan Liang; Furong Huang URLTran: Improving Phishing URL Detection Using Transformers. (10%)Pranav Maneriker; Jack W. Stokes; Edir Garcia Lazo; Diana Carutasu; Farid Tajaddodianfar; Arun Gururajan ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs. (5%)Christopher A. Strong; Sydney M. Katz; Anthony L. Corso; Mykel J. Kochenderfer Practical Machine Learning Safety: A Survey and Primer. (4%)Sina Mohseni; Haotao Wang; Zhiding Yu; Chaowei Xiao; Zhangyang Wang; Jay Yadawa Network insensitivity to parameter noise via adversarial regularization. (2%)Julian Büchel; Fynn Faber; Dylan R. Muir 2021-06-08 On Improving Adversarial Transferability of Vision Transformers. (99%)Muzammal Naseer; Kanchana Ranasinghe; Salman Khan; Fahad Shahbaz Khan; Fatih Porikli Simulated Adversarial Testing of Face Recognition Models. (99%)Nataniel Ruiz; Adam Kortylewski; Weichao Qiu; Cihang Xie; Sarah Adel Bargal; Alan Yuille; Stan Sclaroff Towards the Memorization Effect of Neural Networks in Adversarial Training. (93%)Han Xu; Xiaorui Liu; Wentao Wang; Wenbiao Ding; Zhongqin Wu; Zitao Liu; Anil Jain; Jiliang Tang Handcrafted Backdoors in Deep Neural Networks. (92%)Sanghyun Hong; Nicholas Carlini; Alexey Kurakin Enhancing Robustness of Neural Networks through Fourier Stabilization. (73%)Netanel Raviv; Aidan Kelley; Michael Guo; Yevgeny Vorobeychik Provably Robust Detection of Out-of-distribution Data (almost) for free. (26%)Alexander Meinke; Julian Bitterwolf; Matthias Hein 2021-06-07 Adversarial Attack and Defense in Deep Ranking. (99%)Mo Zhou; Le Wang; Zhenxing Niu; Qilin Zhang; Nanning Zheng; Gang Hua Reveal of Vision Transformers Robustness against Adversarial Attacks. (99%)Ahmed Aldahdooh; Wassim Hamidouche; Olivier Deforges Position Bias Mitigation: A Knowledge-Aware Graph Model for EmotionCause Extraction. (89%)Hanqi Yan; Lin Gui; Gabriele Pergola; Yulan He 3DB: A Framework for Debugging Computer Vision Models. (45%)Guillaume Leclerc; Hadi Salman; Andrew Ilyas; Sai Vemprala; Logan Engstrom; Vibhav Vineet; Kai Xiao; Pengchuan Zhang; Shibani Santurkar; Greg Yang; Ashish Kapoor; Aleksander Madry RoSearch: Search for Robust Student Architectures When Distilling Pre-trained Language Models. (11%)Xin Guo; Jianlei Yang; Haoyi Zhou; Xucheng Ye; Jianxin Li 2021-06-06 A Primer on Multi-Neuron Relaxation-based Adversarial Robustness Certification. (98%)Kevin Roth Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model. (4%)Zi Wang 2021-06-05 Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness. (92%)Renjue Li; Hanwei Zhang; Pengfei Yang; Cheng-Chao Huang; Aimin Zhou; Bai Xue; Lijun Zhang Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. (69%)Qin Ding; Cho-Jui Hsieh; James Sharpnack RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. (2%)Jiaxing Huang; Dayan Guan; Aoran Xiao; Shijian Lu 2021-06-04 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness. (99%)Zifeng Wang; Tong Jian; Aria Masoomi; Stratis Ioannidis; Jennifer Dy BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization. (99%)Zhuosheng Zhang; Shucheng Yu Human-Adversarial Visual Question Answering. (31%)Sasha Sheng; Amanpreet Singh; Vedanuj Goswami; Jose Alberto Lopez Magana; Wojciech Galuba; Devi Parikh; Douwe Kiela Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics. (15%)Bhavin Choksi; Milad Mozafari; Callum Biggs O'May; Benjamin Ador; Andrea Alamia; Rufin VanRullen DOCTOR: A Simple Method for Detecting Misclassification Errors. (1%)Federica Granese; Marco Romanelli; Daniele Gorla; Catuscia Palamidessi; Pablo Piantanida Teaching keyword spotters to spot new keywords with limited examples. (1%)Abhijeet Awasthi; Kevin Kilgour; Hassan Rom 2021-06-03 Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout. (99%)Pengfei Xie; Linyuan Wang; Ruoxi Qin; Kai Qiao; Shuhao Shi; Guoen Hu; Bin Yan Imperceptible Adversarial Examples for Fake Image Detection. (99%)Quanyu Liao; Yuezun Li; Xin Wang; Bin Kong; Bin Zhu; Siwei Lyu; Youbing Yin; Qi Song; Xi Wu A Little Robustness Goes a Long Way: Leveraging Universal Features for Targeted Transfer Attacks. (99%)Jacob M. Springer; Melanie Mitchell; Garrett T. Kenyon Transferable Adversarial Examples for Anchor Free Object Detection. (99%)Quanyu Liao; Xin Wang; Bin Kong; Siwei Lyu; Bin Zhu; Youbing Yin; Qi Song; Xi Wu Exploring Memorization in Adversarial Training. (98%)Yinpeng Dong; Ke Xu; Xiao Yang; Tianyu Pang; Zhijie Deng; Hang Su; Jun Zhu Improving Neural Network Robustness via Persistency of Excitation. (68%)Kaustubh Sridhar; Oleg Sokolsky; Insup Lee; James Weimer Defending against Backdoor Attacks in Natural Language Generation. (38%)Chun Fan; Xiaoya Li; Yuxian Meng; Xiaofei Sun; Xiang Ao; Fei Wu; Jiwei Li; Tianwei Zhang Sneak Attack against Mobile Robotic Networks under Formation Control. (1%)Yushan Li; Jianping He; Xuda Ding; Lin Cai; Xinping Guan 2021-06-02 PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack. (99%)Alexander Matyasko; Lap-Pui Chau Towards Robustness of Text-to-SQL Models against Synonym Substitution. (75%)Yujian Gan; Xinyun Chen; Qiuping Huang; Matthew Purver; John R. Woodward; Jinxia Xie; Pengsheng Huang BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks. (62%)Yannik Keller; Jan Mackensen; Steffen Eger 2021-06-01 Adversarial Defense for Automatic Speaker Verification by Self-Supervised Learning. (99%)Haibin Wu; Xu Li; Andy T. Liu; Zhiyong Wu; Helen Meng; Hung-yi Lee Improving Compositionality of Neural Networks by Decoding Representations to Inputs. (68%)Mike Wu; Noah Goodman; Stefano Ermon Markpainting: Adversarial Machine Learning meets Inpainting. (12%)David Khachaturov; Ilia Shumailov; Yiren Zhao; Nicolas Papernot; Ross Anderson On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. (9%)Divyansh Kaushik; Douwe Kiela; Zachary C. Lipton; Wen-tau Yih Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. (5%)Linjie Li; Jie Lei; Zhe Gan; Jingjing Liu Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models. (1%)Rosa Biagio La; Roberto Capobianco; Daniele Nardi Concurrent Adversarial Learning for Large-Batch Training. (1%)Yong Liu; Xiangning Chen; Minhao Cheng; Cho-Jui Hsieh; Yang You 2021-05-31 Adaptive Feature Alignment for Adversarial Training. (99%)Tao Wang; Ruixin Zhang; Xingyu Chen; Kai Zhao; Xiaolin Huang; Yuge Huang; Shaoxin Li; Jilin Li; Feiyue Huang QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. (99%)Sizhe Chen; Zhehao Huang; Qinghua Tao; Xiaolin Huang Transferable Sparse Adversarial Attack. (99%)Ziwen He; Wei Wang; Jing Dong; Tieniu Tan Adversarial Training with Rectified Rejection. (99%)Tianyu Pang; Huishuai Zhang; Di He; Yinpeng Dong; Hang Su; Wei Chen; Jun Zhu; Tie-Yan Liu Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models. (82%)Ameya D. Patil; Michael Tuttle; Alexander G. Schwing; Naresh R. Shanbhag Dominant Patterns: Critical Features Hidden in Deep Neural Networks. (80%)Zhixing Ye; Shaofei Qin; Sizhe Chen; Xiaolin Huang Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models. (75%)Chong Li; Cenyuan Zhang; Xiaoqing Zheng; Xuanjing Huang Gradient-based Data Subversion Attack Against Binary Classifiers. (73%)Rosni K Vasu; Sanjay Seetharaman; Shubham Malaviya; Manish Shukla; Sachin Lodha DISSECT: Disentangled Simultaneous Explanations via Concept Traversals. (1%)Asma Ghandeharioun; Been Kim; Chun-Liang Li; Brendan Jou; Brian Eoff; Rosalind W. Picard The effectiveness of feature attribution methods and its correlation with automatic evaluation scores. (1%)Giang Nguyen; Daeyoung Kim; Anh Nguyen 2021-05-30 Generating Adversarial Examples with Graph Neural Networks. (99%)Florian Jaeckle; M. Pawan Kumar Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice. (98%)Rongzhou Bao; Jiayi Wang; Hai Zhao NoiLIn: Do Noisy Labels Always Hurt Adversarial Training? (62%)Jingfeng Zhang; Xilie Xu; Bo Han; Tongliang Liu; Gang Niu; Lizhen Cui; Masashi Sugiyama Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks. (62%)Ramy Maarouf; Danish Sattar; Ashraf Matrawy DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. (12%)Baußnern Samuel von; Johannes Otterbach; Adrian Loy; Mathieu Salzmann; Thomas Wollmann EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network. (1%)Jian Cui; Zirui Lan; Olga Sourina; Wolfgang Müller-Wittig 2021-05-29 Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations. (99%)Mingfu Xue; Yinghao Wu; Zhiyu Wu; Jian Wang; Yushu Zhang; Weiqiang Liu Analysis and Applications of Class-wise Robustness in Adversarial Training. (99%)Qi Tian; Kun Kuang; Kelu Jiang; Fei Wu; Yisen Wang A Measurement Study on the (In)security of End-of-Life (EoL) Embedded Devices. (2%)Dingding Wang; Muhui Jiang; Rui Chang; Yajin Zhou; Baolei Hou; Xiapu Luo; Lei Wu; Kui Ren 2021-05-28 Demotivate adversarial defense in remote sensing. (99%)Adrien Chan-Hon-Tong; Gaston Lenczner; Aurelien Plyer AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption. (92%)Mingfu Xue; Zhiyu Wu; Jian Wang; Yushu Zhang; Weiqiang Liu Robust Regularization with Adversarial Labelling of Perturbed Samples. (83%)Xiaohui Guo; Richong Zhang; Yaowei Zheng; Yongyi Mao SafeAMC: Adversarial training for robust modulation recognition models. (83%)Javier Maroto; Gérôme Bovet; Pascal Frossard Towards optimally abstaining from prediction. (81%)Adam Tauman Kalai; Varun Kanade Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness. (76%)Glenn Dawson; Robi Polikar Visualizing Representations of Adversarially Perturbed Inputs. (68%)Daniel Steinberg; Paul Munro Chromatic and spatial analysis of one-pixel attacks against an image classifier. (15%)Janne Alatalo; Joni Korpihalkola; Tuomo Sipola; Tero Kokkonen FoveaTer: Foveated Transformer for Image Classification. (10%)Aditya Jonnalagadda; William Yang Wang; B. S. Manjunath; Miguel P. Eckstein DeepMoM: Robust Deep Learning With Median-of-Means. (1%)Shih-Ting Huang; Johannes Lederer 2021-05-27 A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers. (84%)Xi Li; David J. Miller; Zhen Xiang; George Kesidis 2021-05-26 Deep Repulsive Prototypes for Adversarial Robustness. (99%)Alex Serban; Erik Poll; Joost Visser Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. (98%)Heng Chang; Yu Rong; Tingyang Xu; Wenbing Huang; Honglei Zhang; Peng Cui; Xin Wang; Wenwu Zhu; Junzhou Huang Adversarial robustness against multiple $l_p$-threat models at the price of one and how to quickly fine-tune robust models to another threat model. (93%)Francesco Croce; Matthias Hein Can Linear Programs Have Adversarial Examples? A Causal Perspective. (81%)Matej Zečević; Devendra Singh Dhami; Kristian Kersting Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. (61%)Fanchao Qi; Mukai Li; Yangyi Chen; Zhengyan Zhang; Zhiyuan Liu; Yasheng Wang; Maosong Sun Fooling Partial Dependence via Data Poisoning. (13%)Hubert Baniecki; Wojciech Kretowicz; Przemyslaw Biecek 2021-05-25 Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. (98%)Yatong Bai; Tanmay Gautam; Yu Gai; Somayeh Sojoudi Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation. (98%)Mst. Tasnim Pervin; Linmi Tao; Aminul Huq; Zuoxiang He; Li Huo Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs. (67%)Mohammad Malekzadeh; Anastasia Borovykh; Deniz Gündüz Robust Value Iteration for Continuous Control Tasks. (9%)Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg 2021-05-24 OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS. (99%)Guangquan Xu; GuoHua Xin; Litao Jiao; Jian Liu; Shaoying Liu; Meiqi Feng; Xi Zheng Learning Security Classifiers with Verified Global Robustness Properties. (92%)Yizheng Chen; Shiqi Wang; Yue Qin; Xiaojing Liao; Suman Jana; David Wagner Feature Space Targeted Attacks by Statistic Alignment. (82%)Lianli Gao; Yaya Cheng; Qilong Zhang; Xing Xu; Jingkuan Song Improved OOD Generalization via Adversarial Training and Pre-training. (12%)Mingyang Yi; Lu Hou; Jiacheng Sun; Lifeng Shang; Xin Jiang; Qun Liu; Zhi-Ming Ma Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning. (5%)Hannah Kim; Girmaw Abebe Tadesse; Celia Cintas; Skyler Speakman; Kush Varshney AirNet: Neural Network Transmission over the Air. (1%)Mikolaj Jankowski; Deniz Gunduz; Krystian Mikolajczyk Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices. (1%)Ludovic Barman; Alexandre Dumur; Apostolos Pyrgelis; Jean-Pierre Hubaux Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models. (1%)Jieyu Lin; Jiajie Zou; Nai Ding Dissecting Click Fraud Autonomy in the Wild. (1%)Tong Zhu; Yan Meng; Haotian Hu; Xiaokuan Zhang; Minhui Xue; Haojin Zhu 2021-05-23 Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. (99%)Lingjuan Lyu; Xuanli He; Fangzhao Wu; Lichao Sun CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. (92%)Hao Huang; Yongtao Wang; Zhaoyu Chen; Yuheng Li; Zhi Tang; Wei Chu; Jingdong Chen; Weisi Lin; Kai-Kuang Ma Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters. (12%)Javier Carnerero-Cano; Luis Muñoz-González; Phillippa Spencer; Emil C. Lupu 2021-05-22 Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems. (99%)Yifan Jia; Jingyi Wang; Christopher M. Poskitt; Sudipta Chattopadhyay; Jun Sun; Yuqi Chen Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. (98%)Jinyu Yang; Chunyuan Li; Weizhi An; Hehuan Ma; Yuzhi Guo; Yu Rong; Peilin Zhao; Junzhou Huang Securing Optical Networks using Quantum-secured Blockchain: An Overview. (1%)Purva Sharma; Vimal Bhatia; Shashi Prakash 2021-05-21 ReLUSyn: Synthesizing Stealthy Attacks for Deep Neural Network Based Cyber-Physical Systems. (81%)Aarti Kashyap; Syed Mubashir Iqbal; Karthik Pattabiraman; Margo Seltzer Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks. (76%)Leo Schwinn; René Raab; An Nguyen; Dario Zanca; Bjoern Eskofier Backdoor Attacks on Self-Supervised Learning. (68%)Aniruddha Saha; Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash Intriguing Properties of Vision Transformers. (8%)Muzammal Naseer; Kanchana Ranasinghe; Salman Khan; Munawar Hayat; Fahad Shahbaz Khan; Ming-Hsuan Yang Explainable Enterprise Credit Rating via Deep Feature Crossing Network. (1%)Weiyu Guo; Zhijiang Yang; Shu Wu; Fu Chen 2021-05-20 Simple Transparent Adversarial Examples. (99%)Jaydeep Borkar; Pin-Yu Chen Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks. (99%)Hang Wang; David J. Miller; George Kesidis Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance. (11%)Jack W. Stokes; Paul England; Kevin Kane TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. (1%)Yu Li; Min Li; Qiuxia Lai; Yannan Liu; Qiang Xu 2021-05-19 Attack on practical speaker verification system using universal adversarial perturbations. (99%)Weiyi Zhang; Shuning Zhao; Le Liu; Jianmin Li; Xingliang Cheng; Thomas Fang Zheng; Xiaolin Hu Local Aggressive Adversarial Attacks on 3D Point Cloud. (99%)Yiming Sun; Feng Chen; Zhiyu Chen; Mingjie Wang An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks. (76%)Cong Xu; Xiang Li; Min Yang Balancing Robustness and Sensitivity using Feature Contrastive Learning. (15%)Seungyeon Kim; Daniel Glasner; Srikumar Ramalingam; Cho-Jui Hsieh; Kishore Papineni; Sanjiv Kumar DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA. (1%)Yukui Luo; Cheng Gongye; Yunsi Fei; Xiaolin Xu User Label Leakage from Gradients in Federated Learning. (1%)Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser Hunter in the Dark: Deep Ensemble Networks for Discovering Anomalous Activity from Smart Networks. (1%)Shiyi Yang; Nour Moustafa; Hui Guo 2021-05-18 Sparta: Spatially Attentive and Adversarially Robust Activation. (99%)Qing Guo; Felix Juefei-Xu; Changqing Zhou; Yang Liu; Song Wang Detecting Adversarial Examples with Bayesian Neural Network. (99%)Yao Li; Tongyi Tang; Cho-Jui Hsieh; Thomas C. M. Lee Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. (98%)Dequan Wang; An Ju; Evan Shelhamer; David Wagner; Trevor Darrell On the Robustness of Domain Constraints. (98%)Ryan Sheatsley; Blaine Hoak; Eric Pauley; Yohan Beugin; Michael J. Weisman; Patrick McDaniel Learning and Certification under Instance-targeted Poisoning. (82%)Ji Gao; Amin Karbasi; Mohammad Mahmoody 2021-05-17 Towards Robust Vision Transformer. (95%)Xiaofeng Mao; Gege Qi; Yuefeng Chen; Xiaodan Li; Ranjie Duan; Shaokai Ye; Yuan He; Hui Xue Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. (93%)Franziska Boenisch; Philip Sperl; Konstantin Böttinger An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis. (69%)Haotian Gu; Xin Guo A Fusion-Denoising Attack on InstaHide with Data Augmentation. (1%)Xinjian Luo; Xiaokui Xiao; Yuncheng Wu; Juncheng Liu; Beng Chin Ooi 2021-05-16 Vision Transformers are Robust Learners. (99%)Sayak Paul; Pin-Yu Chen Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing. (99%)Xunguang Wang; Zheng Zhang; Baoyuan Wu; Fumin Shen; Guangming Lu SoundFence: Securing Ultrasonic Sensors in Vehicles Using Physical-Layer Defense. (2%)Jianzhi Lou; Qiben Yan; Qing Hui; Huacheng Zeng 2021-05-15 Real-time Detection of Practical Universal Adversarial Perturbations. (99%)Kenneth T. Co; Luis Muñoz-González; Leslie Kanthan; Emil C. Lupu 2021-05-14 Salient Feature Extractor for Adversarial Defense on Deep Neural Networks. (99%)Jinyin Chen; Ruoxi Chen; Haibin Zheng; Zhaoyan Ming; Wenrong Jiang; Chen Cui High-Robustness, Low-Transferability Fingerprinting of Neural Networks. (9%)Siyue Wang; Xiao Wang; Pin-Yu Chen; Pu Zhao; Xue Lin Information-theoretic Evolution of Model Agnostic Global Explanations. (1%)Sukriti Verma; Nikaash Puri; Piyush Gupta; Balaji Krishnamurthy Iterative Algorithms for Assessing Network Resilience Against Structured Perturbations. (1%)Shenyu Liu; Sonia Martinez; Jorge Cortes 2021-05-13 Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs. (98%)Lorena Qendro; Sangwon Ha; Jong René de; Partha Maji When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks. (5%)Jiahang Wang; Sheng Jin; Wentao Liu; Weizhong Liu; Chen Qian; Ping Luo DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks. (1%)Yingzhe He; Guozhu Meng; Kai Chen; Jinwen He; Xingbo Hu Biometrics: Trust, but Verify. (1%)Anil K. Jain; Debayan Deb; Joshua J. Engelsma 2021-05-12 AVA: Adversarial Vignetting Attack against Visual Recognition. (99%)Binyu Tian; Felix Juefei-Xu; Qing Guo; Xiaofei Xie; Xiaohong Li; Yang Liu OutFlip: Generating Out-of-Domain Samples for Unknown Intent Detection with Natural Language Attack. (70%)DongHyun Choi; Myeong Cheol Shin; EungGyun Kim; Dong Ryeol Shin Adversarial Reinforcement Learning in Dynamic Channel Access and Power Control. (2%)Feng Wang; M. Cenk Gursoy; Senem Velipasalar A Statistical Threshold for Adversarial Classification in Laplace Mechanisms. (1%)Ayşe Ünsal; Melek Önen 2021-05-11 Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds. (99%)Guiyu Tian; Wenhao Jiang; Wei Liu; Yadong Mu Improving Adversarial Transferability with Gradient Refining. (99%)Guoqiu Wang; Huanqian Yan; Ying Guo; Xingxing Wei Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective. (5%)Shahbaz Rezaei; Zubair Shafiq; Xin Liu 2021-05-10 Adversarial examples attack based on random warm restart mechanism and improved Nesterov momentum. (99%)Tiangang Li Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images. (1%)Nidhi Gowdra; Roopak Sinha; Stephen MacDonell 2021-05-09 Automated Decision-based Adversarial Attacks. (99%)Qi-An Fu; Yinpeng Dong; Hang Su; Jun Zhu Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. (88%)Abhiroop Bhattacharjee; Abhishek Moitra; Priyadarshini Panda Security Concerns on Machine Learning Solutions for 6G Networks in mmWave Beam Prediction. (81%)Ferhat Ozgur Catak; Evren Catak; Murat Kuzlu; Umit Cali Robust Training Using Natural Transformation. (13%)Shuo Wang; Lingjuan Lyu; Surya Nepal; Carsten Rudolph; Marthie Grobler; Kristen Moore Learning Image Attacks toward Vision Guided Autonomous Vehicles. (4%)Hyung-Jin Yoon; Hamidreza Jafarnejadsani; Petros Voulgaris Combining Time-Dependent Force Perturbations in Robot-Assisted Surgery Training. (1%)Yarden Sharon; Daniel Naftalovich; Lidor Bahar; Yael Refaely; Ilana Nisky 2021-05-08 Self-Supervised Adversarial Example Detection by Disentangled Representation. (99%)Zhaoxi Zhang; Leo Yu Zhang; Xufei Zheng; Shengshan Hu; Jinyu Tian; Jiantao Zhou De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks. (96%)Jian Chen; Xuxin Zhang; Rui Zhang; Chen Wang; Ling Liu Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. (93%)Jiehang Zeng; Xiaoqing Zheng; Jianhan Xu; Linyang Li; Liping Yuan; Xuanjing Huang Provable Guarantees against Data Poisoning Using Self-Expansion and Compatibility. (38%)Charles Jin; Melinda Sun; Martin Rinard Mental Models of Adversarial Machine Learning. (16%)Lukas Bieringer; Kathrin Grosse; Michael Backes; Battista Biggio; Katharina Krombholz 2021-05-07 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. (99%)Bangjie Yin; Wenxuan Wang; Taiping Yao; Junfeng Guo; Zelun Kong; Shouhong Ding; Jilin Li; Cong Liu Uniform Convergence, Adversarial Spheres and a Simple Remedy. (15%)Gregor Bachmann; Seyed-Mohsen Moosavi-Dezfooli; Thomas Hofmann 2021-05-06 Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model. (99%)Ruoxi Qin; Linyuan Wang; Xingyuan Chen; Xuehui Du; Bin Yan A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking. (99%)Zhenbang Li; Yaya Shi; Jin Gao; Shaoru Wang; Bing Li; Pengpeng Liang; Weiming Hu Understanding Catastrophic Overfitting in Adversarial Training. (92%)Peilin Kang; Seyed-Mohsen Moosavi-Dezfooli Attestation Waves: Platform Trust via Remote Power Analysis. (1%)Ignacio M. Delgado-Lozano; Macarena C. Martínez-Rodríguez; Alexandros Bakas; Billy Bob Brumley; Antonis Michalas 2021-05-05 Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning. (99%)Matthew Durham University, Durham, UK Watson; Noura Al Durham University, Durham, UK Moubayed Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. (97%)Faiq Khalid; Muhammad Abdullah Hanif; Muhammad Shafique Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. (1%)Robert A. Marsden; Alexander Bartler; Mario Döbler; Bin Yang A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. (1%)Devansh Bisla; Apoorva Nandini Saridena; Anna Choromanska 2021-05-04 Poisoning the Unlabeled Dataset of Semi-Supervised Learning. (92%)Nicholas Carlini Broadly Applicable Targeted Data Sample Omission Attacks. (68%)Guy Barash; Eitan Farchi; Sarit Kraus; Onn Shehory An Overview of Laser Injection against Embedded Neural Network Models. (2%)Mathieu Dumont; Pierre-Alain Moellic; Raphael Viera; Jean-Max Dutertre; Rémi Bernhard 2021-05-03 Physical world assistive signals for deep neural network classifiers -- neither defense nor attack. (83%)Camilo Pestana; Wei Liu; David Glance; Robyn Owens; Ajmal Mian Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack. (73%)Yixu Wang; Jie Li; Hong Liu; Yan Wang; Yongjian Wu; Feiyue Huang; Rongrong Ji 2021-05-02 Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. (99%)Luke Chang; Katharina Dost; Kaiqi Zhao; Ambra Demontis; Fabio Roli; Gill Dobbie; Jörg Wicker Who's Afraid of Adversarial Transferability? (99%)Ziv Katzir; Yuval Elovici Multi-Robot Coordination and Planning in Uncertain and Adversarial Environments. (10%)Lifeng Zhou; Pratap Tokekar GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning. (2%)Hanchi Ren; Jingjing Deng; Xianghua Xie Spinner: Automated Dynamic Command Subsystem Perturbation. (1%)Meng Wang; Chijung Jung; Ali Ahad; Yonghwi Kwon 2021-05-01 Adversarial Example Detection for DNN Models: A Review and Experimental Comparison. (99%)Ahmed Aldahdooh; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Deforges A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate. (98%)Ruijie Yang; Yunhong Wang; Ruikui Wang; Yuanfang Guo On the Adversarial Robustness of Quantized Neural Networks. (75%)Micah Gorsline; James Smith; Cory Merkel Hidden Backdoors in Human-Centric Language Models. (73%)Shaofeng Li; Hui Liu; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue; Haojin Zhu; Jialiang Lu One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. (62%)Shahroz Tariq; Sangyup Lee; Simon S. Woo A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification. (62%)Wei Guo; Benedetta Tondi; Mauro Barni Load Oscillating Attacks of Smart Grids: Demand Strategies and Vulnerability Analysis. (2%)Falah Alanazi; Jinsub Kim; Eduardo Cotilla-Sanchez RATT: Leveraging Unlabeled Data to Guarantee Generalization. (1%)Saurabh Garg; Sivaraman Balakrishnan; J. Zico Kolter; Zachary C. Lipton 2021-04-30 Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. (99%)Jun-Ho Choi; Huan Zhang; Jun-Hyuk Kim; Cho-Jui Hsieh; Jong-Seok Lee Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense. (99%)Haoxi Zhan; Xiaobing Pei Black-box adversarial attacks using Evolution Strategies. (98%)Hao Qiu; Leonardo Lucio Custode; Giovanni Iacca IPatch: A Remote Adversarial Patch. (97%)Yisroel Mirsky DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications. (10%)Siwei Wu; Dabao Wang; Jianting He; Yajin Zhou; Lei Wu; Xingliang Yuan; Qinming He; Kui Ren FIPAC: Thwarting Fault- and Software-Induced Control-Flow Attacks with ARM Pointer Authentication. (2%)Robert Schilling; Pascal Nasahl; Stefan Mangard 2021-04-29 GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. (67%)Haoyuan Chen; Chen Li; Xiaoyan Li; Ge Wang; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Yudong Yao; Yueyang Teng; Marcin Grzegorzek A neural anisotropic view of underspecification in deep learning. (26%)Guillermo Ortiz-Jimenez; Itamar Franco Salazar-Reque; Apostolos Modas; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard Analytical bounds on the local Lipschitz constants of ReLU networks. (12%)Trevor Avant; Kristi A. Morgansen Learning Robust Variational Information Bottleneck with Reference. (5%)Weizhu Qian; Bowei Chen; Xiaowei Huang 2021-04-28 AdvHaze: Adversarial Haze Attack. (99%)Ruijun Gao; Qing Guo; Felix Juefei-Xu; Hongkai Yu; Wei Feng 2021-04-27 Improved and Efficient Text Adversarial Attacks using Target Information. (97%)Mahmoud Hossam; Trung Le; He Zhao; Viet Huynh; Dinh Phung Metamorphic Detection of Repackaged Malware. (91%)Shirish Singh; Gail Kaiser Structure-Aware Hierarchical Graph Pooling using Information Bottleneck. (2%)Kashob Kumar Roy; Amit Roy; A K M Mahbubur Rahman; M Ashraful Amin; Amin Ahsan Ali Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity. (1%)Mathias P. M. Parisot; Balazs Pejo; Dayana Spagnuelo 2021-04-26 Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. (99%)Pavlos Papadopoulos; Essen Oliver Thornewill von; Nikolaos Pitropakis; Christos Chrysoulas; Alexios Mylonas; William J. Buchanan Delving into Data: Effectively Substitute Training for Black-box Attack. (99%)Wenxuan Wang; Bangjie Yin; Taiping Yao; Li Zhang; Yanwei Fu; Shouhong Ding; Jilin Li; Feiyue Huang; Xiangyang Xue secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python. (99%)Luca Demetrio; Battista Biggio Impact of Spatial Frequency Based Constraints on Adversarial Robustness. (98%)Rémi Bernhard; Pierre-Alain Moellic; Martial Mermillod; Yannick Bourrier; Romain Cohendet; Miguel Solinas; Marina Reyboz PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches. (87%)Chong Xiang; Prateek Mittal Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Generative Adversarial Networks. (22%)Sebastian Szyller; Vasisht Duddu; Tommi Gröndahl; N. Asokan 2021-04-25 3D Adversarial Attacks Beyond Point Cloud. (99%)Jinlai Zhang; Lyujie Chen; Binbin Liu; Bo Ouyang; Qizhi Xie; Jihong Zhu; Weiming Li; Yanmei Meng Making Generated Images Hard To Spot: A Transferable Attack On Synthetic Image Detectors. (81%)Xinwei Zhao; Matthew C. Stamm 2021-04-24 Influence Based Defense Against Data Poisoning Attacks in Online Learning. (99%)Sanjay Seetharaman; Shubham Malaviya; Rosni KV; Manish Shukla; Sachin Lodha 2021-04-23 Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. (98%)Zeyu Qin; Yanbo Fan; Hongyuan Zha; Baoyuan Wu Evaluating Deception Detection Model Robustness To Linguistic Variation. (82%)Maria Glenski; Ellyn Ayton; Robin Cosbey; Dustin Arendt; Svitlana Volkova Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy. (3%)Xin Dong; Junfeng Guo; Wei-Te Ting; H. T. Kung Improving Neural Silent Speech Interface Models by Adversarial Training. (1%)Amin Honarmandi Shandiz; László Tóth; Gábor Gosztolya; Alexandra Markó; Tamás Gábor Csapó 2021-04-22 Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting. (99%)Qiming Wu; Zhikang Zou; Pan Zhou; Xiaoqing Ye; Binghui Wang; Ang Li Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors. (98%)Arman Maesumi; Mingkang Zhu; Yi Wang; Tianlong Chen; Zhangyang Wang; Chandrajit Bajaj Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions. (86%)Jing Wu; Mingyi Zhou; Ce Zhu; Yipeng Liu; Mehrtash Harandi; Li Li Operator Shifting for General Noisy Matrix Systems. (56%)Philip Etter; Lexing Ying SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics. (22%)Jonathan Hayase; Weihao Kong; Raghav Somani; Sewoong Oh 2021-04-21 Dual Head Adversarial Training. (99%)Yujing Jiang; Xingjun Ma; Sarah Monazam Erfani; James Bailey Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. (99%)Kaidi Xu; Chenan Wang; Xue Lin; Bhavya Kailkhura; Ryan Goldhahn Robust Certification for Laplace Learning on Geometric Graphs. (96%)Matthew Thorpe; Bao Wang Jacobian Regularization for Mitigating Universal Adversarial Perturbations. (95%)Kenneth T. Co; David Martinez Rego; Emil C. Lupu Dataset Inference: Ownership Resolution in Machine Learning. (83%)Pratyush Maini; Mohammad Yaghini; Nicolas Papernot 2021-04-20 Adversarial Training for Deep Learning-based Intrusion Detection Systems. (99%)Islam Debicha; Thibault Debatty; Jean-Michel Dricot; Wim Mees MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis. (99%)Yijun Yang; Ruiyuan Gao; Yu Li; Qiuxia Lai; Qiang Xu MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. (64%)Jian Ma; Shuyi Xie; Haiqin Yang; Lianxin Jiang; Mengyuan Zhou; Xiaoyi Ruan; Yang Mo Does enhanced shape bias improve neural network robustness to common corruptions? (26%)Chaithanya Kumar Mummadi; Ranjitha Subramaniam; Robin Hutmacher; Julien Vitay; Volker Fischer; Jan Hendrik Metzen Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles. (9%)Jiwei Guan; Xi Zheng; Chen Wang; Yipeng Zhou; Alireza Jolfa Network Defense is Not a Game. (1%)Andres Molina-Markham; Ransom K. Winder; Ahmad Ridley 2021-04-19 Staircase Sign Method for Boosting Adversarial Attacks. (99%)Qilong Zhang; Xiaosu Zhu; Jingkuan Song; Lianli Gao; Heng Tao Shen Improving Adversarial Robustness Using Proxy Distributions. (99%)Vikash Sehwag; Saeed Mahloujifar; Tinashe Handina; Sihui Dai; Chong Xiang; Mung Chiang; Prateek Mittal Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models. (99%)Lyuyi Zhu; Kairui Feng; Ziyuan Pu; Wei Ma LAFEAT: Piercing Through Adversarial Defenses with Latent Features. (99%)Yunrui Yu; Xitong Gao; Cheng-Zhong Xu Removing Adversarial Noise in Class Activation Feature Space. (99%)Dawei Zhou; Nannan Wang; Chunlei Peng; Xinbo Gao; Xiaoyu Wang; Jun Yu; Tongliang Liu Direction-Aggregated Attack for Transferable Adversarial Examples. (99%)Tianjin Huang; Vlado Menkovski; Yulong Pei; YuHao Wang; Mykola Pechenizkiy Manipulating SGD with Data Ordering Attacks. (95%)Ilia Shumailov; Zakhar Shumaylov; Dmitry Kazhdan; Yiren Zhao; Nicolas Papernot; Murat A. Erdogdu; Ross Anderson Provable Robustness of Adversarial Training for Learning Halfspaces with Noise. (22%)Difan Zou; Spencer Frei; Quanquan Gu Protecting the Intellectual Properties of Deep Neural Networks with an Additional Class and Steganographic Images. (11%)Shichang Sun; Mingfu Xue; Jian Wang; Weiqiang Liu Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning. (1%)Kai Li; Chang Liu; Handong Zhao; Yulun Zhang; Yun Fu 2021-04-18 Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild". (83%)Mimansa Jaiswal; Emily Mower Provost Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training. (22%)Shunsuke Kitada; Hitoshi Iyatomi On the Sensitivity and Stability of Model Interpretations in NLP. (1%)Fan Yin; Zhouxing Shi; Cho-Jui Hsieh; Kai-Wei Chang 2021-04-17 Attacking Text Classifiers via Sentence Rewriting Sampler. (99%)Lei Xu; Kalyan Veeramachaneni Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems. (99%)Yue Gao; Ilia Shumailov; Kassem Fawaz Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. (98%)Max Bartolo; Tristan Thrush; Robin Jia; Sebastian Riedel; Pontus Stenetorp; Douwe Kiela Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. (87%)Kuan-Hao Huang; Wasi Uddin Ahmad; Nanyun Peng; Kai-Wei Chang AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples. (15%)Qianchu Liu; Edoardo M. Ponti; Diana McCarthy; Ivan Vulić; Anna Korhonen 2021-04-16 Fashion-Guided Adversarial Attack on Person Segmentation. (99%)Marc Treu; Trung-Nghia Le; Huy H. Nguyen; Junichi Yamagishi; Isao Echizen Towards Variable-Length Textual Adversarial Attacks. (99%)Junliang Guo; Zhirui Zhang; Linlin Zhang; Linli Xu; Boxing Chen; Enhong Chen; Weihua Luo An Adversarially-Learned Turing Test for Dialog Generation Models. (96%)Xiang Gao; Yizhe Zhang; Michel Galley; Bill Dolan Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators. (83%)David Stutz; Nandhini Chandramoorthy; Matthias Hein; Bernt Schiele Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. (2%)Arjun Nitin Bhagoji; Daniel Cullina; Vikash Sehwag; Prateek Mittal 2021-04-15 Gradient-based Adversarial Attacks against Text Transformers. (99%)Chuan Guo; Alexandre Sablayrolles; Hervé Jégou; Douwe Kiela Robust Backdoor Attacks against Deep Neural Networks in Real Physical World. (86%)Mingfu Xue; Can He; Shichang Sun; Jian Wang; Weiqiang Liu Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering. (12%)Sara Rosenthal; Mihaela Bornea; Avirup Sil Federated Learning for Malware Detection in IoT Devices. (10%)Valerian Rey; Pedro Miguel Sánchez Sánchez; Alberto Huertas Celdrán; Gérôme Bovet; Martin Jaggi 2021-04-14 Meaningful Adversarial Stickers for Face Recognition in Physical World. (98%)Ying Guo; Xingxing Wei; Guoqiu Wang; Bo Zhang Orthogonalizing Convolutional Layers with the Cayley Transform. (80%)Asher Trockman; J. Zico Kolter Defending Against Adversarial Denial-of-Service Data Poisoning Attacks. (38%)Nicolas M. Müller; Simon Roschmann; Konstantin Böttinger Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition. (1%)Palma Alessandro De; Rudy Bunel; Alban Desmaison; Krishnamurthy Dvijotham; Pushmeet Kohli; Philip H. S. Torr; M. Pawan Kumar 2021-04-13 Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune. (99%)Shanshi Huang; Hongwu Jiang; Shimeng Yu Detecting Operational Adversarial Examples for Reliable Deep Learning. (82%)Xingyu Zhao; Wei Huang; Sven Schewe; Yi Dong; Xiaowei Huang Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack. (75%)Luca Pajola; Mauro Conti 2021-04-12 Sparse Coding Frontend for Robust Neural Networks. (99%)Can Bakiskan; Metehan Cekic; Ahmet Dundar Sezer; Upamanyu Madhow A Backdoor Attack against 3D Point Cloud Classifiers. (96%)Zhen Xiang; David J. Miller; Siheng Chen; Xi Li; George Kesidis Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation. (56%)Sarik Ghazarian; Zixi Liu; Akash SM; Ralph Weischedel; Aram Galstyan; Nanyun Peng Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. (50%)Chong Zhang; Jieyu Zhao; Huan Zhang; Kai-Wei Chang; Cho-Jui Hsieh Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack. (1%)Xinyi Zhang; Chengfang Fang; Jie Shi 2021-04-11 Achieving Model Robustness through Discrete Adversarial Training. (99%)Maor Ivgi; Jonathan Berant Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks. (1%)Louis Béthune; Thibaut Boissin; Mathieu Serrurier; Franck Mamalet; Corentin Friedrich; Alberto González-Sanz 2021-04-10 Fool Me Twice: Entailment from Wikipedia Gamification. (61%)Julian Martin Eisenschlos; Bhuwan Dhingra; Jannis Bulian; Benjamin Börschinger; Jordan Boyd-Graber Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. (15%)Simiao Zuo; Chen Liang; Haoming Jiang; Xiaodong Liu; Pengcheng He; Jianfeng Gao; Weizhu Chen; Tuo Zhao Disentangled Contrastive Learning for Learning Robust Textual Representations. (11%)Xiang Chen; Xin Xie; Zhen Bi; Hongbin Ye; Shumin Deng; Ningyu Zhang; Huajun Chen 2021-04-09 Relating Adversarially Robust Generalization to Flat Minima. (99%)David Stutz; Matthias Hein; Bernt Schiele SPoTKD: A Protocol for Symmetric Key Distribution over Public Channels Using Self-Powered Timekeeping Devices. (1%)Mustafizur Rahman; Liang Zhou; Shantanu Chakrabartty Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication. (1%)Xiquan Guan; Huamin Feng; Weiming Zhang; Hang Zhou; Jie Zhang; Nenghai Yu Learning Sampling Policy for Faster Derivative Free Optimization. (1%)Zhou Zhai; Bin Gu; Heng Huang 2021-04-08 FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. (98%)Liang Tong; Zhengzhang Chen; Jingchao Ni; Wei Cheng; Dongjin Song; Haifeng Chen; Yevgeniy Vorobeychik Explainability-based Backdoor Attacks Against Graph Neural Networks. (15%)Jing Jason Xu; Jason Minhui; Xue; Stjepan Picek A single gradient step finds adversarial examples on random two-layers neural networks. (10%)Sébastien Bubeck; Yeshwanth Cherapanamjeri; Gauthier Gidel; Rémi Tachet des Combes Adversarial Learning Inspired Emerging Side-Channel Attacks and Defenses. (8%)Abhijitt Dhavlle 2021-04-07 Universal Adversarial Training with Class-Wise Perturbations. (99%)Philipp Benz; Chaoning Zhang; Adil Karjauv; In So Kweon The art of defense: letting networks fool the attacker. (98%)Jinlai Zhang; Yinpeng Dong; Binbin Liu; Bo Ouyang; Jihong Zhu; Minchi Kuang; Houqing Wang; Yanmei Meng Universal Spectral Adversarial Attacks for Deformable Shapes. (81%)Arianna Rampini; Franco Pestarini; Luca Cosmo; Simone Melzi; Emanuele Rodolà Adversarial Robustness Guarantees for Gaussian Processes. (68%)Andrea Patane; Arno Blaas; Luca Laurenti; Luca Cardelli; Stephen Roberts; Marta Kwiatkowska Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective. (61%)Yi Zeng; Won Park; Z. Morley Mao; Ruoxi Jia Improving Robustness of Deep Reinforcement Learning Agents: Environment Attacks based on Critic Networks. (10%)Lucas Schott; Manon Césaire; Hatem Hajri; Sylvain Lamprier Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features. (3%)Suryabhan Singh Hada; Miguel Á. Carreira-Perpiñán; Arman Zharmagambetov An Object Detection based Solver for Google's Image reCAPTCHA v2. (1%)Md Imran Hossen; Yazhou Tu; Md Fazle Rabby; Md Nazmul Islam; Hui Cao; Xiali Hei 2021-04-06 Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. (93%)Zhiyun Lu; Wei Han; Yu Zhang; Liangliang Cao Adversarial Robustness under Long-Tailed Distribution. (89%)Tong Wu; Ziwei Liu; Qingqiu Huang; Yu Wang; Dahua Lin Robust Adversarial Classification via Abstaining. (75%)Abed AlRahman Al Makdah; Vaibhav Katewa; Fabio Pasqualetti Backdoor Attack in the Physical World. (2%)Yiming Li; Tongqing Zhai; Yong Jiang; Zhifeng Li; Shu-Tao Xia 2021-04-05 Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model. (99%)Payam Delgosha; Hamed Hassani; Ramtin Pedarsani Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. (98%)Samuel Henrique Silva; Arun Das; Ian Scarff; Peyman Najafirad BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification. (96%)Ishani Mondal Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses. (74%)Yao Deng; Tiehua Zhang; Guannan Lou; Xi Zheng; Jiong Jin; Qing-Long Han Can audio-visual integration strengthen robustness under multimodal attacks? (68%)Yapeng Tian; Chenliang Xu Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. (33%)Neal Mangaokar; Jiameng Pu; Parantapa Bhattacharya; Chandan K. Reddy; Bimal Viswanath Unified Detection of Digital and Physical Face Attacks. (8%)Debayan Deb; Xiaoming Liu; Anil K. Jain Beyond Categorical Label Representations for Image Classification. (2%)Boyuan Chen; Yu Li; Sunand Raghupathi; Hod Lipson Rethinking Perturbations in Encoder-Decoders for Fast Training. (1%)Sho Takase; Shun Kiyono 2021-04-04 Semantically Stealthy Adversarial Attacks against Segmentation Models. (99%)Zhenhua Chen; Chuhua Wang; David J. Crandall Reliably fast adversarial training via latent adversarial perturbation. (93%)Geon Yeong Park; Sang Wan Lee 2021-04-03 Mitigating Gradient-based Adversarial Attacks via Denoising and Compression. (99%)Rehana Mahfuz; Rajeev Sahay; Aly El Gamal Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling. (93%)Jinho Yi; Aly El Gamal Property-driven Training: All You (N)Ever Wanted to Know About. (38%)Marco Casadio; Matthew Daggitt; Ekaterina Komendantskaya; Wen Kokke; Daniel Kienitz; Rob Stewart 2021-04-02 Defending Against Image Corruptions Through Adversarial Augmentations. (92%)Dan A. Calian; Florian Stimberg; Olivia Wiles; Sylvestre-Alvise Rebuffi; Andras Gyorgy; Timothy Mann; Sven Gowal RABA: A Robust Avatar Backdoor Attack on Deep Neural Network. (83%)Ying He; Zhili Shen; Chang Xia; Jingyu Hua; Wei Tong; Sheng Zhong Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration under Noise Domain Shifts. (2%)Athanasios Tsiligkaridis; Theodoros Tsiligkaridis Fast-adapting and Privacy-preserving Federated Recommender System. (1%)Qinyong Wang; Hongzhi Yin; Tong Chen; Junliang Yu; Alexander Zhou; Xiangliang Zhang 2021-04-01 TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness. (99%)Zhuolin Yang; Linyi Li; Xiaojun Xu; Shiliang Zuo; Qian Chen; Benjamin Rubinstein; Pan Zhou; Ce Zhang; Bo Li Domain Invariant Adversarial Learning. (98%)Matan Levi; Idan Attias; Aryeh Kontorovich Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. (93%)Luoqiu Li; Xiang Chen; Ningyu Zhang; Shumin Deng; Xin Xie; Chuanqi Tan; Mosha Chen; Fei Huang; Huajun Chen Towards Evaluating and Training Verifiably Robust Neural Networks. (45%)Zhaoyang Lyu; Minghao Guo; Tong Wu; Guodong Xu; Kehuan Zhang; Dahua Lin Augmenting Zero Trust Architecture to Endpoints Using Blockchain: A Systematic Review. (3%)Lampis Alevizos; Vinh Thong Ta; Max Hashem Eiza Learning from Noisy Labels via Dynamic Loss Thresholding. (1%)Hao Yang; Youzhi Jin; Ziyin Li; Deng-Bao Wang; Lei Miao; Xin Geng; Min-Ling Zhang 2021-03-31 Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images. (99%)Gerda Bortsova; Florian Dubost; Laurens Hogeweg; Ioannis Katramados; Bruijne Marleen de Adversarial Attacks and Defenses for Speech Recognition Systems. (99%)Piotr Żelasko; Sonal Joshi; Yiwen Shao; Jesus Villalba; Jan Trmal; Najim Dehak; Sanjeev Khudanpur Fast Certified Robust Training with Short Warmup. (86%)Zhouxing Shi; Yihan Wang; Huan Zhang; Jinfeng Yi; Cho-Jui Hsieh Fast Jacobian-Vector Product for Deep Networks. (22%)Randall Balestriero; Richard Baraniuk Too Expensive to Attack: A Joint Defense Framework to Mitigate Distributed Attacks for the Internet of Things Grid. (2%)Jianhua Li; Ximeng Liu; Jiong Jin; Shui Yu Digital Forensics vs. Anti-Digital Forensics: Techniques, Limitations and Recommendations. (1%)Jean-Paul A. Yaacoub; Hassan N. Noura; Ola Salman; Ali Chehab 2021-03-30 On the Robustness of Vision Transformers to Adversarial Examples. (99%)Kaleel Mahmood; Rigel Mahmood; Dijk Marten van Class-Aware Robust Adversarial Training for Object Detection. (96%)Pin-Chun Chen; Bo-Han Kung; Jun-Cheng Chen PointBA: Towards Backdoor Attacks in 3D Point Cloud. (92%)Xinke Li; Zhiru Chen; Yue Zhao; Zekun Tong; Yabang Zhao; Andrew Lim; Joey Tianyi Zhou What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks. (91%)Simon Schrodi; Tonmoy Saikia; Thomas Brox Statistical inference for individual fairness. (67%)Subha Maity; Songkai Xue; Mikhail Yurochkin; Yuekai Sun Learning Lipschitz Feedback Policies from Expert Demonstrations: Closed-Loop Guarantees, Generalization and Robustness. (47%)Abed AlRahman Al Makdah; Vishaal Krishnan; Fabio Pasqualetti Improving robustness against common corruptions with frequency biased models. (1%)Tonmoy Saikia; Cordelia Schmid; Thomas Brox 2021-03-29 Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training. (99%)Mohammad Azizmalayeri; Mohammad Hossein Rohban Enhancing the Transferability of Adversarial Attacks through Variance Tuning. (99%)Xiaosen Wang; Kun He On the Adversarial Robustness of Vision Transformers. (99%)Rulin Shao; Zhouxing Shi; Jinfeng Yi; Pin-Yu Chen; Cho-Jui Hsieh ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training. (95%)Zeinab Golgooni; Mehrdad Saberi; Masih Eskandar; Mohammad Hossein Rohban Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing. (93%)Cheng Chen; Bhavya Kailkhura; Ryan Goldhahn; Yi Zhou Fooling LiDAR Perception via Adversarial Trajectory Perturbation. (83%)Yiming Li; Congcong Wen; Felix Juefei-Xu; Chen Feng Robust Reinforcement Learning under model misspecification. (31%)Lebin Yu; Jian Wang; Xudong Zhang Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models. (16%)Josh Kalin; David Noever; Matthew Ciolino; Dominick Hambrick; Gerry Dozier MISA: Online Defense of Trojaned Models using Misattributions. (10%)Panagiota Kiourti; Wenchao Li; Anirban Roy; Karan Sikka; Susmit Jha Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. (9%)Wenkai Yang; Lei Li; Zhiyuan Zhang; Xuancheng Ren; Xu Sun; Bin He Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions. (1%)Xuan Cheng; Tianshu Xie; Xiaomin Wang; Qifeng Weng; Minghui Liu; Jiali Deng; Ming Liu 2021-03-28 Improved Autoregressive Modeling with Distribution Smoothing. (86%)Chenlin Meng; Jiaming Song; Yang Song; Shengjia Zhao; Stefano Ermon 2021-03-27 On the benefits of robust models in modulation recognition. (99%)Javier Maroto; Gérôme Bovet; Pascal Frossard IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking. (99%)Shuai Jia; Yibing Song; Chao Ma; Xiaokang Yang LiBRe: A Practical Bayesian Approach to Adversarial Detection. (99%)Zhijie Deng; Xiao Yang; Shizhen Xu; Hang Su; Jun Zhu 2021-03-26 Cyclic Defense GAN Against Speech Adversarial Attacks. (99%)Mohammad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich Combating Adversaries with Anti-Adversaries. (93%)Motasem Alfarra; Juan C. Pérez; Ali Thabet; Adel Bibi; Philip H. S. Torr; Bernard Ghanem On Generating Transferable Targeted Perturbations. (93%)Muzammal Naseer; Salman Khan; Munawar Hayat; Fahad Shahbaz Khan; Fatih Porikli Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation. (86%)Dohun Lim; Hyeonseok Lee; Sungchan Kim Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness. (83%)Yi Cai; Xuefei Ning; Huazhong Yang; Yu Wang Visual Explanations from Spiking Neural Networks using Interspike Intervals. (62%)Youngeun Kim; Priyadarshini Panda Unsupervised Robust Domain Adaptation without Source Data. (13%)Peshal Agarwal; Danda Pani Paudel; Jan-Nico Zaech; Gool Luc Van 2021-03-25 Adversarial Attacks are Reversible with Natural Supervision. (99%)Chengzhi Mao; Mia Chiquier; Hao Wang; Junfeng Yang; Carl Vondrick Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond. (98%)Brian Kim; Yalin E. Sagduyu; Tugba Erpek; Sennur Ulukus MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes. (81%)Zhikai Chen; Lingxi Xie; Shanmin Pang; Yong He; Bo Zhang Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems. (70%)Matthew Burruss; Shreyas Ramakrishna; Abhishek Dubey Orthogonal Projection Loss. (45%)Kanchana Ranasinghe; Muzammal Naseer; Munawar Hayat; Salman Khan; Fahad Shahbaz Khan THAT: Two Head Adversarial Training for Improving Robustness at Scale. (26%)Zuxuan Wu; Tom Goldstein; Larry S. Davis; Ser-Nam Lim A Survey of Microarchitectural Side-channel Vulnerabilities, Attacks and Defenses in Cryptography. (11%)Xiaoxuan Lou; Tianwei Zhang; Jun Jiang; Yinqian Zhang HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks. (10%)Peizhuo Lv; Pan Li; Shengzhi Zhang; Kai Chen; Ruigang Liang; Yue Zhao; Yingjiu Li The Geometry of Over-parameterized Regression and Adversarial Perturbations. (2%)Jason W. Rocks; Pankaj Mehta Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis. (1%)Arghya Pal; Rapha Phan; KokSheik Wong Spirit Distillation: Precise Real-time Prediction with Insufficient Data. (1%)Zhiyuan Wu; Hong Qi; Yu Jiang; Chupeng Cui; Zongmin Yang; Xinhui Xue Recent Advances in Large Margin Learning. (1%)Yiwen Guo; Changshui Zhang 2021-03-24 Towards Both Accurate and Robust Neural Networks without Extra Data. (99%)Faqiang Liu; Rong Zhao Vulnerability of Appearance-based Gaze Estimation. (97%)Mingjie Xu; Haofei Wang; Yunfei Liu; Feng Lu Black-box Detection of Backdoor Attacks with Limited Information and Data. (96%)Yinpeng Dong; Xiao Yang; Zhijie Deng; Tianyu Pang; Zihao Xiao; Hang Su; Jun Zhu Deepfake Forensics via An Adversarial Game. (10%)Zhi Wang; Yiwen Guo; Wangmeng Zuo 2021-03-23 Robust and Accurate Object Detection via Adversarial Learning. (98%)Xiangning Chen; Cihang Xie; Mingxing Tan; Li Zhang; Cho-Jui Hsieh; Boqing Gong CLIP: Cheap Lipschitz Training of Neural Networks. (96%)Leon Bungert; René Raab; Tim Roith; Leo Schwinn; Daniel Tenbrinck The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? (92%)Antonio Emanuele Cinà; Sebastiano Vascon; Ambra Demontis; Battista Biggio; Fabio Roli; Marcello Pelillo Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations. (87%)Chaitanya K. Ryali; David J. Schwab; Ari S. Morcos RPATTACK: Refined Patch Attack on General Object Detectors. (76%)Hao Huang; Yongtao Wang; Zhaoyu Chen; Zhi Tang; Wenqiang Zhang; Kai-Kuang Ma NNrepair: Constraint-based Repair of Neural Network Classifiers. (50%)Muhammad Usman; Divya Gopinath; Youcheng Sun; Yannic Noller; Corina Pasareanu Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs. (31%)Ramneet Kaur; Susmit Jha; Anirban Roy; Oleg Sokolsky; Insup Lee Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces. (22%)Jack Prescott; Xiao Zhang; David Evans ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. (1%)Oliver Lutz; Huili Chen; Hossein Fereidooni; Christoph Sendner; Alexandra Dmitrienko; Ahmad Reza Sadeghi; Farinaz Koushanfar 2021-03-22 Grey-box Adversarial Attack And Defence For Sentiment Classification. (99%)Ying Xu; Xu Zhong; Antonio Jimeno Yepes; Jey Han Lau Fast Approximate Spectral Normalization for Robust Deep Neural Networks. (98%)Zhixin Pan; Prabhat Mishra Spatio-Temporal Sparsification for General Robust Graph Convolution Networks. (87%)Mingming Lu; Ya Zhang RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. (75%)Adnan Siraj Rakin; Li Yang; Jingtao Li; Fan Yao; Chaitali Chakrabarti; Yu Cao; Jae-sun Seo; Deliang Fan Adversarial Feature Augmentation and Normalization for Visual Recognition. (13%)Tianlong Chen; Yu Cheng; Zhe Gan; Jianfeng Wang; Lijuan Wang; Zhangyang Wang; Jingjing Liu Adversarially Optimized Mixup for Robust Classification. (13%)Jason Bunk; Srinjoy Chattopadhyay; B. S. Manjunath; Shivkumar Chandrasekaran 2021-03-21 ExAD: An Ensemble Approach for Explanation-based Adversarial Detection. (99%)Raj Vardhan; Ninghao Liu; Phakpoom Chinprutthiwong; Weijie Fu; Zhenyu Hu; Xia Ben Hu; Guofei Gu TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. (75%)Tao Gui; Xiao Wang; Qi Zhang; Qin Liu; Yicheng Zou; Xin Zhou; Rui Zheng; Chong Zhang; Qinzhuo Wu; Jiacheng Ye; Zexiong Pang; Yongxin Zhang; Zhengyan Li; Ruotian Ma; Zichu Fei; Ruijian Cai; Jun Zhao; Xinwu Hu; Zhiheng Yan; Yiding Tan; Yuan Hu; Qiyuan Bian; Zhihua Liu; Bolin Zhu; Shan Qin; Xiaoyu Xing; Jinlan Fu; Yue Zhang; Minlong Peng; Xiaoqing Zheng; Yaqian Zhou; Zhongyu Wei; Xipeng Qiu; Xuanjing Huang Natural Perturbed Training for General Robustness of Neural Network Classifiers. (38%)Sadaf Gulshad; Arnold Smeulders Self adversarial attack as an augmentation method for immunohistochemical stainings. (33%)Jelica Vasiljević; Friedrich Feuerhake; Cédric Wemmert; Thomas Lampert 2021-03-20 Robust Models Are More Interpretable Because Attributions Look Normal. (15%)Zifan Wang; Matt Fredrikson; Anupam Datta 2021-03-19 LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack. (99%)Ashkan Esmaeili; Marzieh Edraki; Nazanin Rahnavard; Mubarak Shah; Ajmal Mian SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems. (93%)Yuxuan Chen; Jiangshan Zhang; Xuejing Yuan; Shengzhi Zhang; Kai Chen; Xiaofeng Wang; Shanqing Guo Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions. (86%)Michael Goebel; Jason Bunk; Srinjoy Chattopadhyay; Lakshmanan Nataraj; Shivkumar Chandrasekaran; B. S. Manjunath Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond. (2%)Xuhong Li; Haoyi Xiong; Xingjian Li; Xuanyu Wu; Xiao Zhang; Ji Liu; Jiang Bian; Dejing Dou 2021-03-18 Generating Adversarial Computer Programs using Optimized Obfuscations. (99%)Shashank Srikant; Sijia Liu; Tamara Mitrovska; Shiyu Chang; Quanfu Fan; Gaoyuan Zhang; Una-May O'Reilly Boosting Adversarial Transferability through Enhanced Momentum. (99%)Xiaosen Wang; Jiadong Lin; Han Hu; Jingdong Wang; Kun He Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles. (98%)Gabriel D. Cantareira; Rodrigo F. Mello; Fernando V. Paulovich Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training. (76%)Saurabh Sahu; Palash Goyal Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! (69%)Xuanli He; Lingjuan Lyu; Qiongkai Xu; Lichao Sun TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation. (61%)Todd Huster; Emmanuel Ekwedike Noise Modulation: Let Your Model Interpret Itself. (54%)Haoyang Li; Xinggang Wang KoDF: A Large-scale Korean DeepFake Detection Dataset. (16%)Patrick Kwon; Jaeseong You; Gyuhyeon Nam; Sungwoo Park; Gyeongsu Chae Reading Isn't Believing: Adversarial Attacks On Multi-Modal Neurons. (9%)David A. Noever; Samantha E. Miller Noever 2021-03-17 Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? (99%)Nathan Inkawhich; Kevin J Liang; Jingyang Zhang; Huanrui Yang; Hai Li; Yiran Chen Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection. (98%)Mazen Abdelfattah; Kaiwen Yuan; Z. Jane Wang; Rabab Ward Improved, Deterministic Smoothing for L1 Certified Robustness. (82%)Alexander Levine; Soheil Feizi Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition. (41%)Yaodong Yu; Zitong Yang; Edgar Dobriban; Jacob Steinhardt; Yi Ma Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots. (38%)Samson Tan; Shafiq Joty Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss. (13%)Boxiang Wendy Dong; Wendy Hui; Wang; Aparna S. Varde; Dawei Li; Bharath K. Samanthula; Weifeng Sun; Liang Zhao 2021-03-16 Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches. (92%)Nan Ji; YanFei Feng; Haidong Xie; Xueshuang Xiang; Naijin Liu Adversarial Driving: Attacking End-to-End Autonomous Driving Systems. (80%)Han Wu; Wenjie Ruan Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. (75%)Jungbeom Lee; Eunji Kim; Sungroh Yoon Bio-inspired Robustness: A Review. (70%)Harshitha Machiraju; Oh-Hyeon Choung; Pascal Frossard; Michael. H Herzog 2021-03-15 Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy. (83%)Bronya Roni Chernyak; Bhiksha Raj; Tamir Hazan; Joseph Keshet Adversarial Training is Not Ready for Robot Learning. (67%)Mathias Lechner; Ramin Hasani; Radu Grosu; Daniela Rus; Thomas A. Henzinger HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing. (64%)Dongning Ma; Jianmin Guo; Yu Jiang; Xun Jiao Understanding invariance via feedforward inversion of discriminatively trained classifiers. (10%)Piotr Teterwak; Chiyuan Zhang; Dilip Krishnan; Michael C. Mozer Meta-Solver for Neural Ordinary Differential Equations. (2%)Julia Gusak; Alexandr Katrutsa; Talgat Daulbaev; Andrzej Cichocki; Ivan Oseledets 2021-03-14 Towards Robust Speech-to-Text Adversarial Attack. (99%)Mohammad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks. (98%)Manoj Rohit Vemparala; Alexander Frickenstein; Nael Fasfous; Lukas Frickenstein; Qi Zhao; Sabine Kuhn; Daniel Ehrhardt; Yuankai Wu; Christian Unger; Naveen Shankar Nagaraja; Walter Stechele Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems. (82%)Mohammad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich Membership Inference Attacks on Machine Learning: A Survey. (68%)Hongsheng Hu; Zoran Salcic; Lichao Sun; Gillian Dobbie; Philip S. Yu; Xuyun Zhang 2021-03-13 Attack as Defense: Characterizing Adversarial Examples using Robustness. (99%)Zhe Zhao; Guangke Chen; Jingyi Wang; Yiwei Yang; Fu Song; Jun Sun Generating Unrestricted Adversarial Examples via Three Parameters. (99%)Hanieh Naderi; Leili Goli; Shohreh Kasaei Simeon -- Secure Federated Machine Learning Through Iterative Filtering. (12%)Nicholas Malecki; Hye-young Paik; Aleksandar Ignjatovic; Alan Blair; Elisa Bertino 2021-03-12 Learning Defense Transformers for Counterattacking Adversarial Examples. (99%)Jincheng Li; Jiezhang Cao; Yifan Zhang; Jian Chen; Mingkui Tan Internal Wasserstein Distance for Adversarial Attack and Defense. (99%)Mingkui Tan; Shuhai Zhang; Jiezhang Cao; Jincheng Li; Yanwu Xu A Unified Game-Theoretic Interpretation of Adversarial Robustness. (98%)Jie Ren; Die Zhang; Yisen Wang; Lu Chen; Zhanpeng Zhou; Yiting Chen; Xu Cheng; Xin Wang; Meng Zhou; Jie Shi; Quanshi Zhang Adversarial Machine Learning Security Problems for 6G: mmWave Beam Prediction Use-Case. (82%)Evren Catak; Ferhat Ozgur Catak; Arild Moldsvor Network Environment Design for Autonomous Cyberdefense. (1%)Andres Molina-Markham; Cory Miniter; Becky Powell; Ahmad Ridley 2021-03-11 Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling. (99%)Md Shohidul Islam; Ihsen Alouani; Khaled N. Khasawneh Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. (99%)Shiqi Wang; Huan Zhang; Kaidi Xu; Xue Lin; Suman Jana; Cho-Jui Hsieh; J. Zico Kolter Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. (99%)Ranjie Duan; Xiaofeng Mao; A. K. Qin; Yun Yang; Yuefeng Chen; Shaokai Ye; Yuan He DAFAR: Detecting Adversaries by Feedback-Autoencoder Reconstruction. (99%)Haowen Liu; Ping Yi; Hsiao-Ying Lin; Jie Shi ReinforceBug: A Framework to Generate Adversarial Textual Examples. (97%)Bushra Sabir; M. Ali Babar; Raj Gaire Multi-Task Federated Reinforcement Learning with Adversaries. (15%)Aqeel Anwar; Arijit Raychowdhury BODAME: Bilevel Optimization for Defense Against Model Extraction. (8%)Yuto Mori; Atsushi Nitanda; Akiko Takeda 2021-03-10 Improving Adversarial Robustness via Channel-wise Activation Suppressing. (99%)Yang Bai; Yuyuan Zeng; Yong Jiang; Shu-Tao Xia; Xingjun Ma; Yisen Wang TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack. (92%)Yam Sharon; David Berend; Yang Liu; Asaf Shabtai; Yuval Elovici VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples. (67%)Tian Pan; Yibing Song; Tianyu Yang; Wenhao Jiang; Wei Liu Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial Networks. (1%)Md Akmal Haidar; Mehdi Rezagholizadeh 2021-03-09 Stabilized Medical Image Attacks. (99%)Gege Qi; Lijun Gong; Yibing Song; Kai Ma; Yefeng Zheng Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection. (99%)Ahmed Aldahdooh; Wassim Hamidouche; Olivier Déforges Practical Relative Order Attack in Deep Ranking. (99%)Mo Zhou; Le Wang; Zhenxing Niu; Qilin Zhang; Yinghui Xu; Nanning Zheng; Gang Hua BASAR:Black-box Attack on Skeletal Action Recognition. (99%)Yunfeng Diao; Tianjia Shao; Yong-Liang Yang; Kun Zhou; He Wang Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack. (98%)He Wang; Feixiang He; Zhexi Peng; Tianjia Shao; Yong-Liang Yang; Kun Zhou; David Hogg Deep Learning for Android Malware Defenses: a Systematic Literature Review. (11%)Yue Liu; Chakkrit Tantithamthavorn; Li Li; Yepang Liu Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency. (10%)Mohammad Mehdi Yadollahi; Farzaneh Shoeleh; Sajjad Dadkhah; Ali A. Ghorbani Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup. (2%)Zhimin Luo; Mengce Zheng; Ping Wang; Minhui Jin; Jiajia Zhang; Honggang Hu; Nenghai Yu 2021-03-08 Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks. (99%)Qiumei Cheng; Shiying Zhou; Yi Shen; Dezhang Kong; Chunming Wu Enhancing Transformation-based Defenses against Adversarial Examples with First-Order Perturbations. (99%)Haimin Zhang; Min Xu Contemplating real-world object classification. (81%)Ali Borji Consistency Regularization for Adversarial Robustness. (50%)Jihoon Tack; Sihyun Yu; Jongheon Jeong; Minseon Kim; Sung Ju Hwang; Jinwoo Shin Prime+Probe 1, JavaScript 0: Overcoming Browser-based Side-Channel Defenses. (2%)Anatoly Shusterman; Ayush Agarwal; Sioli O'Connell; Daniel Genkin; Yossi Oren; Yuval Yarom Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors. (1%)Jian Ding; Enze Xie; Hang Xu; Chenhan Jiang; Zhenguo Li; Ping Luo; Gui-Song Xia Deep Model Intellectual Property Protection via Deep Watermarking. (1%)Jie Zhang; Dongdong Chen; Jing Liao; Weiming Zhang; Huamin Feng; Gang Hua; Nenghai Yu 2021-03-07 Universal Adversarial Perturbations and Image Spam Classifiers. (99%)Andy Phung; Mark Stamp Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain. (99%)Jinyu Tian; Jiantao Zhou; Yuanman Li; Jia Duan Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN. (99%)Desheng School of Electrical Engineering, Southwest Jiaotong University, Chengdu, P. R. China Wang; Weidong School of Electrical Engineering, Southwest Jiaotong University, Chengdu, P. R. China Jin; Yunpu School of Electrical Engineering, Southwest Jiaotong University, Chengdu, P. R. China Wu; Aamir School of Electrical Engineering, Southwest Jiaotong University, Chengdu, P. R. China Khan Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy. (76%)Chen Chen; Kezhi Kong; Peihong Yu; Juan Luque; Tom Goldstein; Furong Huang 2021-03-06 T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification. (98%)Ahmadreza Azizi; Ibrahim Asadullah Tahmid; Asim Waheed; Neal Mangaokar; Jiameng Pu; Mobin Javed; Chandan K. Reddy; Bimal Viswanath Hidden Backdoor Attack against Semantic Segmentation Models. (93%)Yiming Li; Yanjie Li; Yalei Lv; Yong Jiang; Shu-Tao Xia 2021-03-05 Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence. (13%)Vasileios Mavroeidis; Siri Bromander Don't Forget to Sign the Gradients! (10%)Omid Aramoon; Pin-Yu Chen; Gang Qu Tor circuit fingerprinting defenses using adaptive padding. (1%)George Kadianakis; Theodoros Polyzos; Mike Perry; Kostas Chatzikokolakis 2021-03-04 Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples. (99%)Washington Garcia; Pin-Yu Chen; Somesh Jha; Scott Clouse; Kevin R. B. Butler WaveGuard: Understanding and Mitigating Audio Adversarial Examples. (99%)Shehzeen Hussain; Paarth Neekhara; Shlomo Dubnov; Julian McAuley; Farinaz Koushanfar Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack. (99%)Mengting Xu; Tao Zhang; Zhongnian Li; Mingxia Liu; Daoqiang Zhang QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval. (99%)Xiaodan Li; Jinfeng Li; Yuefeng Chen; Shaokai Ye; Yuan He; Shuhui Wang; Hang Su; Hui Xue SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain. (99%)Paula Harder; Franz-Josef Pfreundt; Margret Keuper; Janis Keuper Gradient-Guided Dynamic Efficient Adversarial Training. (96%)Fu Wang; Yanghao Zhang; Yanbin Zheng; Wenjie Ruan PointGuard: Provably Robust 3D Point Cloud Classification. (92%)Hongbin Liu; Jinyuan Jia; Neil Zhenqiang Gong Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods. (12%)William Paul; Yinzhi Cao; Miaomiao Zhang; Phil Burlina A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems. (1%)Nur Imtiazul Haque; Mohammad Ashiqur Rahman; Md Hasan Shahriar; Alvi Ataur Khalil; Selcuk Uluagac On the privacy-utility trade-off in differentially private hierarchical text classification. (1%)Dominik Wunderlich; Daniel Bernau; Francesco Aldà; Javier Parra-Arnau; Thorsten Strufe 2021-03-03 Structure-Preserving Progressive Low-rank Image Completion for Defending Adversarial Attacks. (99%)Zhiqun Zhao; Hengyou Wang; Hao Sun; Zhihai He A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models. (89%)Josh Kalin; David Noever; Matthew Ciolino Shift Invariance Can Reduce Adversarial Robustness. (87%)Songwei Ge; Vasu Singla; Ronen Basri; David Jacobs A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks. (81%)Yudi Dong; Huaxia Wang; Yu-Dong Yao On the effectiveness of adversarial training against common corruptions. (67%)Klim Kireev; Maksym Andriushchenko; Nicolas Flammarion Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations. (64%)Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen 2021-03-02 Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training. (99%)Dorjan Hitaj; Giulio Pagnotta; Iacopo Masi; Luigi V. Mancini A Survey On Universal Adversarial Attack. (99%)Chaoning Zhang; Philipp Benz; Chenguo Lin; Adil Karjauv; Jing Wu; In So Kweon Online Adversarial Attacks. (99%)Andjela Mladenovic; Avishek Joey Bose; Hugo Berard; William L. Hamilton; Simon Lacoste-Julien; Pascal Vincent; Gauthier Gidel Adversarial Examples for Unsupervised Machine Learning Models. (98%)Chia-Yi Hsu; Pin-Yu Chen; Songtao Lu; Sijia Liu; Chia-Mu Yu DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers. (97%)Colin Paterson; Haoze Wu; John Grese; Radu Calinescu; Corina S. Pasareanu; Clark Barrett ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples. (97%)Mingfu Xue; Shichang Sun; Can He; Yushu Zhang; Jian Wang; Weiqiang Liu Fixing Data Augmentation to Improve Adversarial Robustness. (69%)Sylvestre-Alvise Rebuffi; Sven Gowal; Dan A. Calian; Florian Stimberg; Olivia Wiles; Timothy Mann A Brief Survey on Deep Learning Based Data Hiding. (54%)Chaoning Zhang; Chenguo Lin; Philipp Benz; Kejiang Chen; Weiming Zhang; In So Kweon Group-wise Inhibition based Feature Regularization for Robust Classification. (16%)Haozhe Liu; Haoqian Wu; Weicheng Xie; Feng Liu; Linlin Shen DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations. (1%)Eitan Borgnia; Jonas Geiping; Valeriia Cherepanova; Liam Fowl; Arjun Gupta; Amin Ghiasi; Furong Huang; Micah Goldblum; Tom Goldstein 2021-03-01 Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. (99%)Jiakai Wang; Aishan Liu; Zixin Yin; Shunchang Liu; Shiyu Tang; Xianglong Liu Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning. (99%)Gerardo Ibarra-Vazquez; Gustavo Olague; Mariana Chan-Ley; Cesar Puente; Carlos Soubervielle-Montalvo Smoothness Analysis of Adversarial Training. (98%)Sekitoshi Kanai; Masanori Yamada; Hiroshi Takahashi; Yuki Yamanaka; Yasutoshi Ida Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis. (96%)Mahsa Paknezhad; Cuong Phuc Ngo; Amadeus Aristo Winarto; Alistair Cheong; Beh Chuen Yang; Wu Jiayang; Lee Hwee Kuan Mind the box: $l_1$-APGD for sparse adversarial attacks on image classifiers. (93%)Francesco Croce; Matthias Hein Adversarial training in communication constrained federated learning. (87%)Devansh Shah; Parijat Dube; Supriyo Chakraborty; Ashish Verma Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. (82%)Miguel Á. Carreira-Perpiñán; Suryabhan Singh Hada Am I a Real or Fake Celebrity? Measuring Commercial Face Recognition Web APIs under Deepfake Impersonation Attack. (70%)Shahroz Tariq; Sowon Jeon; Simon S. Woo A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness. (64%)Jacob Abernethy; Pranjal Awasthi; Satyen Kale Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation. (62%)Wei Dai; Daniel Berleant 2021-02-28 Model-Agnostic Defense for Lane Detection against Adversarial Attack. (98%)Henry Xu; An Ju; David Wagner Robust learning under clean-label attack. (22%)Avrim Blum; Steve Hanneke; Jian Qian; Han Shao 2021-02-27 Effective Universal Unrestricted Adversarial Attacks using a MOE Approach. (98%)A. E. Baia; Bari G. Di; V. Poggioni Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search. (93%)Guoyang Xie; Jinbao Wang; Guo Yu; Feng Zheng; Yaochu Jin End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. (73%)Ruochen Jiao; Hengyi Liang; Takami Sato; Junjie Shen; Qi Alfred Chen; Qi Zhu Adversarial Information Bottleneck. (33%)Pemhlong Zhai; Shihua Zhang Neuron Coverage-Guided Domain Generalization. (2%)Chris Xing Tian; Haoliang Li; Xiaofei Xie; Yang Liu; Shiqi Wang 2021-02-26 What Doesn't Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors.Jonas Geiping; Liam Fowl; Gowthami Somepalli; Micah Goldblum; Michael Moeller; Tom Goldstein NEUROSPF: A tool for the Symbolic Analysis of Neural Networks. (68%)Muhammad Usman; Yannic Noller; Corina Pasareanu; Youcheng Sun; Divya Gopinath 2021-02-25 On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations.Chi Zhang; Jinghan Jia; Burhaneddin Yaman; Steen Moeller; Sijia Liu; Mingyi Hong; Mehmet Akçakaya Do Input Gradients Highlight Discriminative Features?Harshay Shah; Prateek Jain; Praneeth Netrapalli Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks.Huichen Li; Linyi Li; Xiaojun Xu; Xiaolu Zhang; Shuang Yang; Bo Li Understanding Robustness in Teacher-Student Setting: A New Perspective.Zhuolin Yang; Zhaoxi Chen; Tiffany Cai; Xinyun Chen; Bo Li; Yuandong Tian Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints.Maura Pintor; Fabio Roli; Wieland Brendel; Battista Biggio Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems.Ranwa Al Mallah; Godwin Badu-Marfo; Bilal Farooq A statistical framework for efficient out of distribution detection in deep neural networks. (1%)Matan Haroush; Tzviel Frostig; Ruth Heller; Daniel Soudry 2021-02-24 Confidence Calibration with Bounded Error Using Transformations.Sooyong Jang; Radoslav Ivanov; Insup lee; James Weimer Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks.Apoorva Sharma; Navid Azizan; Marco Pavone Robust SleepNets.Yigit Alparslan; Edward Kim Multiplicative Reweighting for Robust Neural Network Optimization.Noga Bar; Tomer Koren; Raja Giryes Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis.Leo Schwinn; An Nguyen; René Raab; Leon Bungert; Daniel Tenbrinck; Dario Zanca; Martin Burger; Bjoern Eskofier Graphfool: Targeted Label Adversarial Attack on Graph Embedding.Jinyin Chen; Xiang Lin; Dunjie Zhang; Wenrong Jiang; Guohan Huang; Hui Xiong; Yun Xiang 2021-02-23 The Sensitivity of Word Embeddings-based Author Detection Models to Semantic-preserving Adversarial Perturbations.Jeremiah Duncan; Fabian Fallas; Chris Gropp; Emily Herron; Maria Mahbub; Paula Olaya; Eduardo Ponce; Tabitha K. Samuel; Daniel Schultz; Sudarshan Srinivasan; Maofeng Tang; Viktor Zenkov; Quan Zhou; Edmon Begoli Rethinking Natural Adversarial Examples for Classification Models.Xiao Li; Jianmin Li; Ting Dai; Jie Shi; Jun Zhu; Xiaolin Hu Automated Discovery of Adaptive Attacks on Adversarial Defenses.Chengyuan Yao; Pavol Bielik; Petar Tsankov; Martin Vechev Adversarial Robustness with Non-uniform Perturbations.Ecenaz Erdemir; Jeffrey Bickford; Luca Melis; Sergul Aydore Non-Singular Adversarial Robustness of Neural Networks.Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation.Jinfeng Li; Tianyu Du; Xiangyu Liu; Rong Zhang; Hui Xue; Shouling Ji Adversarial Examples Detection beyond Image Space.Kejiang Chen; Yuefeng Chen; Hang Zhou; Chuan Qin; Xiaofeng Mao; Weiming Zhang; Nenghai Yu Oriole: Thwarting Privacy against Trustworthy Deep Learning Models.Liuqiao Chen; Hu Wang; Benjamin Zi Hao Zhao; Minhui Xue; Haifeng Qian 2021-02-22 On the robustness of randomized classifiers to adversarial examples.Rafael Pinot; Laurent Meunier; Florian Yger; Cédric Gouy-Pailler; Yann Chevaleyre; Jamal Atif Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks.Ginevra Carbone; Guido Sanguinetti; Luca Bortolussi Man-in-The-Middle Attacks and Defense in a Power System Cyber-Physical Testbed.Patrick Wlazlo; Abhijeet Sahu; Zeyu Mao; Hao Huang; Ana Goulart; Katherine Davis; Saman Zonouz Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.Xinyu Gong; Wuyang Chen; Tianlong Chen; Zhangyang Wang 2021-02-21 The Effects of Image Distribution and Task on Adversarial Robustness.Owen Kunhardt; Arturo Deza; Tomaso Poggio A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization.HanQin Cai; Yuchen Lou; Daniel McKenzie; Wotao Yin Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes. (1%)Sara Sangalli; Ertunc Erdil; Andreas Hoetker; Olivio Donati; Ender Konukoglu 2021-02-20 On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning.Ren Wang; Kaidi Xu; Sijia Liu; Pin-Yu Chen; Tsui-Wei Weng; Chuang Gan; Meng Wang Measuring $\ell_\infty$ Attacks by the $\ell_2$ Norm.Sizhe Chen; Qinghua Tao; Zhixing Ye; Xiaolin Huang 2021-02-19 A PAC-Bayes Analysis of Adversarial Robustness.Guillaume IRIT Vidot; Paul LHC Viallard; Amaury LHC Habrard; Emilie LHC Morvant Effective and Efficient Vote Attack on Capsule Networks.Jindong Gu; Baoyuan Wu; Volker Tresp 2021-02-18 Random Projections for Improved Adversarial Robustness.Ginevra Carbone; Guido Sanguinetti; Luca Bortolussi Fortify Machine Learning Production Systems: Detect and Classify Adversarial Attacks.Matthew Ciolino; Josh Kalin; David Noever Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications.Leonard Berrada; Sumanth Dathathri; Krishnamurthy Dvijotham; Robert Stanforth; Rudy Bunel; Jonathan Uesato; Sven Gowal; M. Pawan Kumar Center Smoothing: Provable Robustness for Functions with Metric-Space Outputs.Aounon Kumar; Tom Goldstein 2021-02-17 Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids.Jiangnan Li; Yingyuan Yang; Jinyuan Stella Sun; Kevin Tomsovic; Hairong Qi Improving Hierarchical Adversarial Robustness of Deep Neural Networks.Avery Ma; Aladin Virmaux; Kevin Scaman; Juwei Lu Consistent Non-Parametric Methods for Maximizing Robustness.Robi Bhattacharjee; Kamalika Chaudhuri Bridging the Gap Between Adversarial Robustness and Optimization Bias.Fartash Faghri; Sven Gowal; Cristina Vasconcelos; David J. Fleet; Fabian Pedregosa; Nicolas Le Roux 2021-02-16 Globally-Robust Neural Networks.Klas Leino; Zifan Wang; Matt Fredrikson A Law of Robustness for Weight-bounded Neural Networks.Hisham Husain; Borja Balle Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation.Adil Kaan Akan; Emre Akbas; Fatos T. Yarman Vural 2021-02-15 Data Profiling for Adversarial Training: On the Ruin of Problematic Data.Chengyu Dong; Liyuan Liu; Jingbo Shang Certified Robustness to Programmable Transformations in LSTMs.Yuhao Zhang; Aws Albarghouthi; Loris D'Antoni Generating Structured Adversarial Attacks Using Frank-Wolfe Method.Ehsan Kazemi; Thomas Kerdreux; Liquang Wang Universal Adversarial Examples and Perturbations for Quantum Classifiers.Weiyuan Gong; Dong-Ling Deng Low Curvature Activations Reduce Overfitting in Adversarial Training.Vasu Singla; Sahil Singla; David Jacobs; Soheil Feizi And/or trade-off in artificial neurons: impact on adversarial robustness.Alessandro Fontana Certifiably Robust Variational Autoencoders.Ben Barrett; Alexander Camuto; Matthew Willetts; Tom Rainforth 2021-02-14 Guided Interpolation for Adversarial Training.Chen Chen; Jingfeng Zhang; Xilie Xu; Tianlei Hu; Gang Niu; Gang Chen; Masashi Sugiyama Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS.Felix Olowononi; Danda B. Rawat; Chunmei Liu Exploring Adversarial Robustness of Deep Metric Learning.Thomas Kobber Panum; Zi Wang; Pengyu Kan; Earlence Fernandes; Somesh Jha Adversarial Attack on Network Embeddings via Supervised Network Poisoning.Viresh Gupta; Tanmoy Chakraborty Perceptually Constrained Adversarial Attacks.Muhammad Zaid Hameed; Andras Gyorgy CAP-GAN: Towards Adversarial Robustness with Cycle-consistent Attentional Purification.Mingu Kang; Trung Quang Tran; Seungju Cho; Daeyoung Kim Cross-modal Adversarial Reprogramming.Paarth Neekhara; Shehzeen Hussain; Jinglong Du; Shlomo Dubnov; Farinaz Koushanfar; Julian McAuley 2021-02-13 Mixed Nash Equilibria in the Adversarial Examples Game.Laurent Meunier; Meyer Scetbon; Rafael Pinot; Jamal Atif; Yann Chevaleyre Adversarial defense for automatic speaker verification by cascaded self-supervised learning models.Haibin Wu; Xu Li; Andy T. Liu; Zhiyong Wu; Helen Meng; Hung-yi Lee 2021-02-12 UAVs Path Deviation Attacks: Survey and Research Challenges.Francesco Betti Sorbelli; Mauro Conti; Cristina M. Pinotti; Giulio Rigoni Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective.Chaoning Zhang; Philipp Benz; Adil Karjauv; In So Kweon Universal Adversarial Perturbations for Malware.Raphael Labaca-Castro; Luis Muñoz-González; Feargus Pendlebury; Gabi Dreo Rodosek; Fabio Pierazzi; Lorenzo Cavallaro On the Paradox of Certified Training. (13%)Nikola Jovanović; Mislav Balunović; Maximilian Baader; Martin Vechev 2021-02-11 Adversarially robust deepfake media detection using fused convolutional neural network predictions.Sohail Ahmed Khan; Alessandro Artusi; Hang Dai Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy.Dylan Slack; Nathalie Rauschmayr; Krishnaram Kenthapadi RobOT: Robustness-Oriented Testing for Deep Learning Systems.Jingyi Wang; Jialuo Chen; Youcheng Sun; Xingjun Ma; Dongxia Wang; Jun Sun; Peng Cheng 2021-02-10 Meta Federated Learning.Omid Aramoon; Pin-Yu Chen; Gang Qu; Yuan Tian Adversarial Robustness: What fools you makes you stronger.Grzegorz Głuch; Rüdiger Urbanke CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection.Hanshu Yan; Jingfeng Zhang; Gang Niu; Jiashi Feng; Vincent Y. F. Tan; Masashi Sugiyama Dompteur: Taming Audio Adversarial Examples.Thorsten Eisenhofer; Lea Schönherr; Joel Frank; Lars Speckemeier; Dorothea Kolossa; Thorsten Holz Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes.Yael Mathov; Lior Rokach; Yuval Elovici Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons.Bohang Zhang; Tianle Cai; Zhou Lu; Di He; Liwei Wang RoBIC: A benchmark suite for assessing classifiers robustness.Thibault Maho; Benoît Bonnet; Teddy Furon; Erwan Le Merrer Bayesian Inference with Certifiable Adversarial Robustness.Matthew Wicker; Luca Laurenti; Andrea Patane; Zhoutong Chen; Zheng Zhang; Marta Kwiatkowska 2021-02-09 Target Training Does Adversarial Training Without Adversarial Samples.Blerta Lindqvist Security and Privacy for Artificial Intelligence: Opportunities and Challenges.Ayodeji Oseni; Nour Moustafa; Helge Janicke; Peng Liu; Zahir Tari; Athanasios Vasilakos "What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models.Sahar Abdelnabi; Mario Fritz Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers.Jacob M. Springer; Melanie Mitchell; Garrett T. Kenyon Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis.Fengting Li; Xuankai Liu; Xiaoli Zhang; Qi Li; Kun Sun; Kang Li Making Paper Reviewing Robust to Bid Manipulation Attacks.Ruihan Wu; Chuan Guo; Felix Wu; Rahul Kidambi; der Maaten Laurens van; Kilian Q. Weinberger Towards Bridging the gap between Empirical and Certified Robustness against Adversarial Examples.Jay Nandy; Sudipan Saha; Wynne Hsu; Mong Li Lee; Xiao Xiang Zhu 2021-02-08 Efficient Certified Defenses Against Patch Attacks on Image Classifiers.Jan Hendrik Metzen; Maksym Yatsura A Real-time Defense against Website Fingerprinting Attacks.Shawn Shan; Arjun Nitin Bhagoji; Haitao Zheng; Ben Y. Zhao Benford's law: what does it say on adversarial images?João G. Zago; Fabio L. Baldissera; Eric A. Antonelo; Rodrigo T. Saad Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples.Omer Faruk Tuna; Ferhat Ozgur Catak; M. Taner Eskil 2021-02-07 Adversarial example generation with AdaBelief Optimizer and Crop Invariance.Bo Yang; Hengwei Zhang; Yuchen Zhang; Kaiyong Xu; Jindong Wang Adversarial Imaging Pipelines.Buu Phan; Fahim Mannan; Felix Heide 2021-02-06 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation.Wuxinlin Cheng; Chenhui Deng; Zhiqiang Zhao; Yaohui Cai; Zhiru Zhang; Zhuo Feng 2021-02-05 Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles.Haowei Sun; Shuo Feng; Xintao Yan; Henry X. Liu Model Agnostic Answer Reranking System for Adversarial Question Answering.Sagnik Majumder; Chinmoy Samant; Greg Durrett Robust Single-step Adversarial Training with Regularizer.Lehui Xie; Yaopeng Wang; Jia-Li Yin; Ximeng Liu Understanding the Interaction of Adversarial Training with Noisy Labels.Jianing Zhu; Jingfeng Zhang; Bo Han; Tongliang Liu; Gang Niu; Hongxia Yang; Mohan Kankanhalli; Masashi Sugiyama Optimal Transport as a Defense Against Adversarial Attacks.Quentin Bouniot; Romaric Audigier; Angélique Loesch 2021-02-04 DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks.Chong Xiang; Prateek Mittal Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression.Masanori Yamada; Sekitoshi Kanai; Tomoharu Iwata; Tomokatsu Takahashi; Yuki Yamanaka; Hiroshi Takahashi; Atsutoshi Kumagai Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images.Jiasong Chen; Linchen Qian; Timur Urakov; Weiyong Gu; Liang Liang PredCoin: Defense against Query-based Hard-label Attack.Junfeng Guo; Yaswanth Yadlapalli; Thiele Lothar; Ang Li; Cong Liu Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review.Dongrui Wu; Weili Fang; Yi Zhang; Liuqing Yang; Hanbin Luo; Lieyun Ding; Xiaodong Xu; Xiang Yu Audio Adversarial Examples: Attacks Using Vocal Masks.Lynnette Ng; Kai Yuan Tay; Wei Han Chua; Lucerne Loke; Danqi Ye; Melissa Chua ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.Yugeng Liu; Rui Wen; Xinlei He; Ahmed Salem; Zhikun Zhang; Michael Backes; Cristofaro Emiliano De; Mario Fritz; Yang Zhang 2021-02-03 Adversarially Robust Learning with Unknown Perturbation Sets.Omar Montasser; Steve Hanneke; Nathan Srebro IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks.Yixiang Wang; Jiqiang Liu; Xiaolin Chang; Jelena Mišić; Vojislav B. Mišić 2021-02-02 On Robustness of Neural Semantic Parsers.Shuo Huang; Zhuang Li; Lizhen Qu; Lei Pan Towards Robust Neural Networks via Close-loop Control.Zhuotong Chen; Qianxiao Li; Zheng Zhang Recent Advances in Adversarial Training for Adversarial Robustness.Tao Bai; Jinqi Luo; Jun Zhao; Bihan Wen; Qian Wang Probabilistic Trust Intervals for Out of Distribution Detection. (2%)Gagandeep Singh; Deepak Mishra 2021-02-01 Fast Training of Provably Robust Neural Networks by SingleProp.Akhilan Boopathy; Tsui-Wei Weng; Sijia Liu; Pin-Yu Chen; Gaoyuan Zhang; Luca Daniel Towards Speeding up Adversarial Training in Latent Spaces.Yaguan Qian; Qiqi Shao; Tengteng Yao; Bin Wang; Shaoning Zeng; Zhaoquan Gu; Wassim Swaileh Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems.Alireza Bahramali; Milad Nasr; Amir Houmansadr; Dennis Goeckel; Don Towsley 2021-01-31 Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional.Xi Yu; Shujian Yu; Jose C. Principe Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss.Pengrui Quan; Ruiming Guo; Mani Srivastava Admix: Enhancing the Transferability of Adversarial Attacks.Xiaosen Wang; Xuanran He; Jingdong Wang; Kun He 2021-01-30 Cortical Features for Defense Against Adversarial Audio Attacks.Ilya Kavalerov; Ruijie Zheng; Wojciech Czaja; Rama Chellappa 2021-01-29 You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries.Devin Willmott; Anit Kumar Sahu; Fatemeh Sheikholeslami; Filipe Condessa; Zico Kolter 2021-01-28 Adversarial Machine Learning Attacks on Condition-Based Maintenance Capabilities.Hamidreza Habibollahi Najaf Abadi Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network.B. R. Manoj; Meysam Sadeghi; Erik G. Larsson Increasing the Confidence of Deep Neural Networks by Coverage Analysis.Giulio Rossolini; Alessandro Biondi; Giorgio Carlo Buttazzo Adversarial Learning with Cost-Sensitive Classes.Haojing Shen; Sihong Chen; Ran Wang; Xizhao Wang 2021-01-27 Robust Android Malware Detection System against Adversarial Attacks using Q-Learning.Hemant Rathore; Sanjay K. Sahay; Piyush Nikam; Mohit Sewak Adversaries in Online Learning Revisited: with applications in Robust Optimization and Adversarial training.Sebastian Pokutta; Huan Xu Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling.Chris Emmery; Ákos Kádár; Grzegorz Chrupała Meta Adversarial Training against Universal Patches.Jan Hendrik Metzen; Nicole Finnie; Robin Hutmacher Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting.Federico Nesti; Alessandro Biondi; Giorgio Buttazzo Improving Neural Network Robustness through Neighborhood Preserving Layers.Bingyuan Liu; Christopher Malon; Lingzhou Xue; Erik Kruus 2021-01-26 Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders.Rasika Karkare; Randy Paffenroth; Gunjan Mahindre Property Inference From Poisoning.Melissa Chase; Esha Ghosh; Saeed Mahloujifar Adversarial Vulnerability of Active Transfer Learning.Nicolas M. Müller; Konstantin Böttinger SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models.Haekyu Park; Zijie J. Wang; Nilaksh Das; Anindya S. Paul; Pruthvi Perumalla; Zhiyan Zhou; Duen Horng Chau The Effect of Class Definitions on the Transferability of Adversarial Attacks Against Forensic CNNs.Xinwei Zhao; Matthew C. Stamm Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers.Xinwei Zhao; Matthew C. Stamm Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.Utku Ozbulak; Baptist Vandersmissen; Azarakhsh Jalalvand; Ivo Couckuyt; Messem Arnout Van; Neve Wesley De Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method.Satya M. Muddamsetty; Mohammad N. S. Jahromi; Andreea E. Ciontos; Laura M. Fenoy; Thomas B. Moeslund Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models.Mazen Abdelfattah; Kaiwen Yuan; Z. Jane Wang; Rabab Ward 2021-01-25 Diverse Adversar