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

2022-07-01 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. (3%)Zahra Ghodsi; Mojan Javaheripi; Nojan Sheybani; Xinqiao Zhang; Ke Huang; Farinaz Koushanfar 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 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 SSMI: How to Make Objects of Interest Disappear without Accessing Object Detectors? (99%)Hui Xia; Rui Zhang; Zi Kang; Shuliang Jiang (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. (67%)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. (3%)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 A Universal Adversarial Policy for Text Classifiers. (98%)Gallil Maimon; Lior Rokach Towards Adversarial Attack on Vision-Language Pre-training Models. (96%)Jiaming Zhang; Qi Yi; Jitao Sang 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 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 Gradient-Based Adversarial and Out-of-Distribution Detection. (2%)Jinsol Lee; Mohit Prabhushankar; Ghassan AlRegib 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 "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 Survey on Gradient Inversion: Attacks, Defenses and Future Directions. (1%)Rui Zhang; Song Guo; Junxiao Wang; Xin Xie; Dacheng Tao 2022-06-13 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 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 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. 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(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 Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation. (26%)Xiaoguang Li; Neil Zhenqiang Gong; Ninghui Li; Wenhai Sun; Hui Li 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 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 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. (16%)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. (92%)Jiawei Institute for Interdisciplinary Information Sciences, Tsinghua University Li; Jianxiao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University Wang; Lin Institute for Interdisciplinary Information Sciences, Tsinghua University Chen; Yang Institute for Interdisciplinary Information Sciences, Tsinghua University Shanghai Qi Zhi Institute 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 A two-steps approach to improve the performance of Android malware detectors. (10%)Nadia Daoudi; Kevin Allix; Tegawendé F. 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(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. 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(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 LPGNet: Link Private Graph Networks for Node Classification. (1%)Aashish Kolluri; Teodora Baluta; Bryan Hooi; Prateek Saxena Unlimited Lives: Secure In-Process Rollback with Isolated Domains. (1%)Merve Turhan; Thomas Nyman; Christoph Bauman; Jan Tobias Mühlberg 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? 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(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 Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. (96%)Jonathan Rusert; Padmini Srinivasan Adversarial Training for High-Stakes Reliability. (68%)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 On the uncertainty principle of neural networks. (3%)Jun-Jie Zhang; Dong-Xiao Zhang; Jian-Nan Chen; Long-Gang Pang Meta-Cognition. 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(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 Adversarial Scratches: Deployable Attacks to CNN Classifiers. (99%)Loris Giulivi; Malhar Jere; Loris Rossi; Farinaz Koushanfar; Gabriela Ciocarlie; Briland Hitaj; Giacomo Boracchi GUARD: Graph Universal Adversarial Defense. (99%)Jintang Li; Jie Liao; Ruofan Wu; Liang Chen; Jiawang Dan; Changhua Meng; Zibin Zheng; Weiqiang Wang 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 Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge. (99%)Qun Song; Zhenyu Yan; Wenjie Luo; Rui Tan Centralized Adversarial Learning for Robust Deep Hashing. (99%)Xunguang Wang; Xu Yuan; Zheng Zhang; Guangming Lu; Xiaomeng Li 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. 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(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. 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(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. 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(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. 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(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 Improving Adversarial Transferability with Spatial Momentum. (99%)Guoqiu Wang; Xingxing Wei; Huanqian Yan 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 Origins of Low-dimensional Adversarial Perturbations. (89%)Elvis Dohmatob; Chuan Guo; Morgane Goibert 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. (83%)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. 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(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; Arian Etemadi; Kimia Noorbakhsh; 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 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. 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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. (98%)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. 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(1%)Jingwei Yi; Fangzhao Wu; Bin Zhu; Yang Yu; Chao Zhang; Guangzhong Sun; Xing Xie 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 Towards Understanding and Defending Input Space Trojans. (12%)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 DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. (78%)Haibo Jin; Ruoxi Chen; Haibin Zheng; Jinyin Chen; Zhenguang Liu; Qi Xuan; Yue Yu; Yao Cheng 2022-02-11 Adversarial Attacks and Defense Methods for Power Quality Recognition. (99%)Jiwei Tian; Buhong Wang; Jing Li; Zhen Wang; Mete Ozay Open-set Adversarial Defense with Clean-Adversarial Mutual Learning. (98%)Rui Shao; Pramuditha Perera; Pong C. Yuen; Vishal M. Patel Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. (98%)Ashish Hooda; Neal Mangaokar; Ryan Feng; Kassem Fawaz; Somesh Jha; Atul Prakash Using Random Perturbations to Mitigate Adversarial Attacks on Sentiment Analysis Models. (92%)Abigail Swenor; Jugal Kalita 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 Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. (10%)Chaoning Zhang; Kang Zhang; Axi Niu; Chenshuang Zhang; Jiu Feng; Chang D. Yoo; In So Kweon 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%)Yun-Yun Tsai; Lei Hsiung; 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. 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(67%)Joseph Pedersen; Rafael Muñoz-Gómez; Jiangnan Huang; Haozhe Sun; Wei-Wei Tu; Isabelle Guyon A Survey on Safety-Critical Scenario Generation for Autonomous Driving -- 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. 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(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. 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(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 CacheFX: A Framework for Evaluating Cache Security. (1%)Daniel Genkin; William Kosasih; Fangfei Liu; Anna Trikalinou; Thomas Unterluggauer; Yuval Yarom SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders. (1%)Tianshuo Cong; Xinlei He; Yang Zhang 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 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 Attacks and Defenses for Free-Riders in Multi-Discriminator GAN. (76%)Zilong Zhao; Jiyue Huang; Stefanie Roos; Lydia Y. Chen Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation. (75%)Zayd Hammoudeh; Daniel Lowd 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 Learning-based Hybrid Local Search for the Hard-label Textual 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 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 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 Phrase-level Adversarial Example Generation for Neural Machine Translation. (98%)Juncheng Wan; Jian Yang; Shuming Ma; Dongdong Zhang; Weinan Zhang; Yong Yu; Furu Wei 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%)Shengshan Hu; Jianrong Lu; Wei Wan; Leo Yu Zhang 2021-12-28 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 Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks. (99%)Weiran Lin; Keane Lucas; Lujo Bauer; Michael K. Reiter; Mahmood Sharif 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. 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(1%)Andrea Stocco; Brian Pulfer; Paolo Tonella 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. 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(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 Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. (92%)Seungyong Moon; Gaon An; Hyun Oh Song Attacking Point Cloud Segmentation with Color-only Perturbation. (87%)Jiacen Xu; Zhe Zhou; Boyuan Feng; Yufei Ding; Zhou Li 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 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. 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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. 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(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 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 Graph Structural Attack by Spectral Distance. (67%)Lu Lin; Ethan Blaser; Hongning Wang 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. 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(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. 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(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. (56%)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 Where Did You Learn That From? Surprising Effectiveness of 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 Rumor Detection on Social Media with Hierarchical Adversarial Training. (47%)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 Adversarially Robust One-class Novelty Detection. (99%)Shao-Yuan Lo; Poojan Oza; Vishal M. 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(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. 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(99%)Maura Pintor; Luca Demetrio; Angelo Sotgiu; Giovanni Manca; Ambra Demontis; Nicholas Carlini; Battista Biggio; Fabio Roli Residual Error: a New Performance Measure for Adversarial Robustness. (99%)Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong 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. 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(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. 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(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. (16%)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 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. (26%)Marco Casadio; Matthew Daggitt; Ekaterina Komendantskaya; Wen Kokke; Daniel Kienitz; Rob Stewart 2021-04-02 Defending Against Image Corruptions Through Adversarial Augmentations. 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(1%)Yaowei Zheng; Richong Zhang; Yongyi Mao 2020-10-09 Understanding Spatial Robustness of Deep Neural Networks.Ziyuan Zhong; Yuchi Tian; Baishakhi Ray How Does Mixup Help With Robustness and Generalization?Linjun Zhang; Zhun Deng; Kenji Kawaguchi; Amirata Ghorbani; James Zou 2020-10-08 Transcending Transcend: Revisiting Malware Classification with Conformal Evaluation.Federico Barbero; Feargus Pendlebury; Fabio Pierazzi; Lorenzo Cavallaro Improve Adversarial Robustness via Weight Penalization on Classification Layer.Cong Xu; Dan Li; Min Yang A Unified Approach to Interpreting and Boosting Adversarial Transferability.Xin Wang; Jie Ren; Shuyun Lin; Xiangming Zhu; Yisen Wang; Quanshi Zhang Improved Techniques for Model Inversion Attacks.Si Chen; Ruoxi Jia; Guo-Jun Qi Affine-Invariant Robust Training.Oriol Barbany Mayor Targeted Attention Attack on Deep Learning Models in Road Sign Recognition.Xinghao Yang; Weifeng Liu; Shengli Zhang; Wei Liu; Dacheng Tao Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks.Anit Kumar Sahu; Satya Narayan Shukla; J. Zico Kolter 2020-10-07 Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption.Simon Oya; Florian Kerschbaum Learning Clusterable Visual Features for Zero-Shot Recognition.Jingyi Xu; Zhixin Shu; Dimitris Samaras Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks.Ahmed Salem; Michael Backes; Yang Zhang Revisiting Batch Normalization for Improving Corruption Robustness.Philipp Benz; Chaoning Zhang; Adil Karjauv; In So Kweon Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features.Philipp Benz; Chaoning Zhang; In So Kweon Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks.Bedeuro Kim; Alsharif Abuadbba; Yansong Gao; Yifeng Zheng; Muhammad Ejaz Ahmed; Hyoungshick Kim; Surya Nepal Global Optimization of Objective Functions Represented by ReLU Networks.Christopher A. Strong; Haoze Wu; Aleksandar Zeljić; Kyle D. 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Selcuk Uluagac Adversarial attacks on audio source separation.Naoya Takahashi; Shota Inoue; Yuki Mitsufuji 2020-10-06 Visualizing Color-wise Saliency of Black-Box Image Classification Models.Yuhki SenseTime Japan Hatakeyama; Hiroki SenseTime Japan Sakuma; Yoshinori SenseTime Japan Konishi; Kohei Kyoto University Suenaga Constraining Logits by Bounded Function for Adversarial Robustness.Sekitoshi Kanai; Masanori Yamada; Shin'ya Yamaguchi; Hiroshi Takahashi; Yasutoshi Ida Adversarial Patch Attacks on Monocular Depth Estimation Networks.Koichiro Yamanaka; Ryutaroh Matsumoto; Keita Takahashi; Toshiaki Fujii BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models.Ahmed Salem; Yannick Sautter; Michael Backes; Mathias Humbert; Yang Zhang 2020-10-05 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model.Xin Qiu; Risto Miikkulainen Adversarial Boot Camp: label free certified robustness in one epoch.Ryan Campbell; Chris Finlay; Adam M Oberman Understanding Classifier Mistakes with Generative Models.Laëtitia Shao; Yang Song; Stefano Ermon CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.Tianlu Wang; Xuezhi Wang; Yao Qin; Ben Packer; Kang Li; Jilin Chen; Alex Beutel; Ed Chi Second-Order NLP Adversarial Examples.John X. Morris A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference.Sanghyun Hong; Yiğitcan Kaya; Ionuţ-Vlad Modoranu; Tudor Dumitraş InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.Boxin Wang; Shuohang Wang; Yu Cheng; Zhe Gan; Ruoxi Jia; Bo Li; Jingjing Liu Understanding Catastrophic Overfitting in Single-step Adversarial Training.Hoki Kim; Woojin Lee; Jaewook Lee Downscaling Attack and Defense: Turning What You See Back Into What You Get.Andrew J. Lohn Metadata-Based Detection of Child Sexual Abuse Material. (1%)Mayana Pereira; Rahul Dodhia; Hyrum Anderson; Richard Brown 2020-10-04 TextAttack: Lessons learned in designing Python frameworks for NLP.John X. Morris; Jin Yong Yoo; Yanjun Qi A Study for Universal Adversarial Attacks on Texture Recognition.Yingpeng Deng; Lina J. 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Dhillon; Nicholas Carlini Accurate and Robust Feature Importance Estimation under Distribution Shifts.Jayaraman J. Thiagarajan; Vivek Narayanaswamy; Rushil Anirudh; Peer-Timo Bremer; Andreas Spanias Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks.Uday Shankar Shanthamallu; Jayaraman J. Thiagarajan; Andreas Spanias DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles.Huanrui Yang; Jingyang Zhang; Hongliang Dong; Nathan Inkawhich; Andrew Gardner; Andrew Touchet; Wesley Wilkes; Heath Berry; Hai Li 2020-09-29 Neural Topic Modeling with Cycle-Consistent Adversarial Training.Xuemeng Hu; Rui Wang; Deyu Zhou; Yuxuan Xiong Fast Fr\'echet Inception Distance.Alexander Mathiasen; Frederik Hvilshøj 2020-09-28 Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment.Sharan Raja; Rudraksh Tuwani STRATA: Building Robustness with a Simple Method for Generating Black-box Adversarial Attacks for Models of Code.Jacob M. Springer; Bryn Marie Reinstadler; Una-May O'Reilly Graph Adversarial Networks: Protecting Information against Adversarial Attacks.Peiyuan Liao; Han Zhao; Keyulu Xu; Tommi Jaakkola; Geoffrey Gordon; Stefanie Jegelka; Ruslan Salakhutdinov Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients.Yifei Huang; Yaodong Yu; Hongyang Zhang; Yi Ma; Yuan Yao Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability.Ishai Rosenberg; Shai Meir; Jonathan Berrebi; Ilay Gordon; Guillaume Sicard; Eli David Learned Fine-Tuner for Incongruous Few-Shot Adversarial Learning. (82%)Pu Zhao; Sijia Liu; Parikshit Ram; Songtao Lu; Yuguang Yao; Djallel Bouneffouf; Xue Lin 2020-09-27 Learning to Improve Image Compression without Changing the Standard Decoder.Yannick Strümpler; Ren Yang; Radu Timofte RoGAT: a robust GNN combined revised GAT with adjusted graphs.Xianchen Zhou; Yaoyun Zeng; Hongxia Wang Where Does the Robustness Come from? 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Berkay Celik Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time.Ferran Alet; Kenji Kawaguchi; Tomas Lozano-Perez; Leslie Pack Kaelbling Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks.Ruizhe Gu; Ping Wang; Mengce Zheng; Honggang Hu; Nenghai Yu 2020-09-21 Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks.Boyuan Feng; Yuke Wang; Zheng Wang; Yufei Ding Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers.Boyuan Feng; Yuke Wang; Xu Li; Yufei Ding Generating Adversarial yet Inconspicuous Patches with a Single Image.Jinqi Luo; Tao Bai; Jun Zhao; Bo Li Adversarial Training with Stochastic Weight Average.Joong-Won Hwang; Youngwan Lee; Sungchan Oh; Yuseok Bae Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.Anh Bui; Trung Le; He Zhao; Paul Montague; Olivier deVel; Tamas Abraham; Dinh Phung DeepDyve: Dynamic Verification for Deep Neural Networks.Yu Li; Min Li; Bo Luo; Ye Tian; Qiang Xu Feature Distillation With Guided Adversarial Contrastive Learning.Tao Bai; Jinnan Chen; Jun Zhao; Bihan Wen; Xudong Jiang; Alex Kot Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version).Gautam Raj Mode; Khaza Anuarul Hoque Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations.Alex Wong; Mukund Mundhra; Stefano Soatto Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.Maurice Weber; Nana Liu; Bo Li; Ce Zhang; Zhikuan Zhao Password Strength Signaling: A Counter-Intuitive Defense Against Password Cracking. (1%)Wenjie Bai; Jeremiah Blocki; Ben Harsha 2020-09-20 Improving Robustness and Generality of NLP Models Using Disentangled Representations.Jiawei Wu; Xiaoya Li; Xiang Ao; Yuxian Meng; Fei Wu; Jiwei Li 2020-09-19 Efficient Certification of Spatial Robustness.Anian Ruoss; Maximilian Baader; Mislav Balunović; Martin Vechev OpenAttack: An Open-source Textual Adversarial Attack Toolkit.Guoyang Zeng; Fanchao Qi; Qianrui Zhou; Tingji Zhang; Bairu Hou; Yuan Zang; Zhiyuan Liu; Maosong Sun Making Images Undiscoverable from Co-Saliency Detection.Ruijun Gao; Qing Guo; Felix Juefei-Xu; Hongkai Yu; Xuhong Ren; Wei Feng; Song Wang Adversarial Exposure Attack on Diabetic Retinopathy Imagery.Yupeng Cheng; Felix Juefei-Xu; Qing Guo; Huazhu Fu; Xiaofei Xie; Shang-Wei Lin; Weisi Lin; Yang Liu Bias Field Poses a Threat to DNN-based X-Ray Recognition.Binyu Tian; Qing Guo; Felix Juefei-Xu; Wen Le Chan; Yupeng Cheng; Xiaohong Li; Xiaofei Xie; Shengchao Qin Learning to Attack: Towards Textual Adversarial Attacking in Real-world Situations.Yuan Zang; Bairu Hou; Fanchao Qi; Zhiyuan Liu; Xiaojun Meng; Maosong Sun Adversarial Rain Attack and Defensive Deraining for DNN Perception.Liming Zhai; Felix Juefei-Xu; Qing Guo; Xiaofei Xie; Lei Ma; Wei Feng; Shengchao Qin; Yang Liu EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks.Yaguan Qian; Qiqi Shao; Jiamin Wang; Xiang Lin; Yankai Guo; Zhaoquan Gu; Bin Wang; Chunming Wu 2020-09-18 Robust Decentralized Learning for Neural Networks.Yao Zhou; Jun Wu; Jingrui He MIRAGE: Mitigating Conflict-Based Cache Attacks with a Practical Fully-Associative Design. (1%)Gururaj Saileshwar; Moinuddin Qureshi 2020-09-17 Certifying Confidence via Randomized Smoothing.Aounon Kumar; Alexander Levine; Soheil Feizi; Tom Goldstein Generating Label Cohesive and Well-Formed Adversarial Claims.Pepa Atanasova; Dustin Wright; Isabelle Augenstein Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks.T. Gittings; S. Schneider; J. Collomosse Label Smoothing and Adversarial Robustness.Chaohao Fu; Hongbin Chen; Na Ruan; Weijia Jia Online Alternate Generator against Adversarial Attacks.Haofeng Li; Yirui Zeng; Guanbin Li; Liang Lin; Yizhou Yu MultAV: Multiplicative Adversarial Videos.Shao-Yuan Lo; Vishal M. Patel On the Transferability of Minimal Prediction Preserving Inputs in Question Answering.Shayne Longpre; Yi Lu; Christopher DuBois Large Norms of CNN Layers Do Not Hurt Adversarial Robustness.Youwei Liang; Dong Huang 2020-09-16 Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.Wenhao Ding; Baiming Chen; Bo Li; Kim Ji Eun; Ding Zhao Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary.Shuyue Guan; Murray Loew Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View.Erick Galinkin Contextualized Perturbation for Textual Adversarial Attack.Dianqi Li; Yizhe Zhang; Hao Peng; Liqun Chen; Chris Brockett; Ming-Ting Sun; Bill Dolan 2020-09-15 Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup.Jang-Hyun Kim; Wonho Choo; Hyun Oh Song Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems.Haoliang Nanyang Technological University, Singapore Li; Yufei Nanyang Technological University, Singapore Wang; Xiaofei Nanyang Technological University, Singapore Xie; Yang Nanyang Technological University, Singapore Liu; Shiqi City University of Hong Kong Wang; Renjie Nanyang Technological University, Singapore Wan; Lap-Pui Nanyang Technological University, Singapore Chau; Alex C. Nanyang Technological University, Singapore Kot Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks.Chen Ma; Shuyu Cheng; Li Chen; Junhai Yong Decision-based Universal Adversarial Attack.Jing Wu; Mingyi Zhou; Shuaicheng Liu; Yipeng Liu; Ce Zhu 2020-09-14 A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses.Ambar Pal; René Vidal Input Hessian Regularization of Neural Networks.Waleed Mustafa; Robert A. Vandermeulen; Marius Kloft Robust Deep Learning Ensemble against Deception.Wenqi Wei; Ling Liu Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack.Takami Sato; Junjie Shen; Ningfei Wang; Yunhan Jack Jia; Xue Lin; Qi Alfred Chen 2020-09-13 Manifold attack.Khanh-Hung Tran; Fred-Maurice Ngole-Mboula; Jean-Luc Starck Towards the Quantification of Safety Risks in Deep Neural Networks.Peipei Xu; Wenjie Ruan; Xiaowei Huang 2020-09-12 Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing.Zhidong Gao; Rui Hu; Yanmin Gong 2020-09-11 Achieving Adversarial Robustness via Sparsity.Shufan Wang; Ningyi Liao; Liyao Xiang; Nanyang Ye; Quanshi Zhang Defending Against Multiple and Unforeseen Adversarial Videos.Shao-Yuan Lo; Vishal M. Patel Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation.Toms Bergmanis; Artūrs Stafanovičs; Mārcis Pinnis The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples.Timo Freiesleben Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection.Lan Zhang; Peng Liu; Yoon-Ho Choi 2020-09-10 Second Order Optimization for Adversarial Robustness and Interpretability.Theodoros Tsiligkaridis; Jay Roberts Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent.Ricardo Bigolin Lanfredi; Joyce D. Schroeder; Tolga Tasdizen 2020-09-09 End-to-end Kernel Learning via Generative Random Fourier Features.Kun Fang; Xiaolin Huang; Fanghui Liu; Jie Yang Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples.Jin Yong Yoo; John X. Morris; Eli Lifland; Yanjun Qi A black-box adversarial attack for poisoning clustering.Antonio Emanuele Cinà; Alessandro Torcinovich; Marcello Pelillo SoK: Certified Robustness for Deep Neural Networks.Linyi Li; Xiangyu Qi; Tao Xie; Bo Li 2020-09-08 Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models.Achyut Mani Tripathi; Ashish Mishra Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective.Gabriel Resende Machado; Eugênio Silva; Ronaldo Ribeiro Goldschmidt 2020-09-07 Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method.Michal Byra; Grzegorz Styczynski; Cezary Szmigielski; Piotr Kalinowski; Lukasz Michalowski; Rafal Paluszkiewicz; Bogna Ziarkiewicz-Wroblewska; Krzysztof Zieniewicz; Andrzej Nowicki Adversarial Attack on Large Scale Graph.Jintang Li; Tao Xie; Liang Chen; Fenfang Xie; Xiangnan He; Zibin Zheng Black Box to White Box: Discover Model Characteristics Based on Strategic Probing.Josh Kalin; Matthew Ciolino; David Noever; Gerry Dozier 2020-09-06 A Game Theoretic Analysis of LQG Control under Adversarial Attack.Zuxing Li; György Dán; Dong Liu Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks.Shankar A. Deka; Dušan M. Stipanović; Claire J. Tomlin Detection Defense Against Adversarial Attacks with Saliency Map.Dengpan Ye; Chuanxi Chen; Changrui Liu; Hao Wang; Shunzhi Jiang 2020-09-05 Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks.Nilaksh Polo Das; Haekyu Polo Park; Zijie J. Polo Wang; Fred Polo Hohman; Robert Polo Firstman; Emily Polo Rogers; Duen Polo Horng; Chau Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks.Wei-An Lin; Chun Pong Lau; Alexander Levine; Rama Chellappa; Soheil Feizi 2020-09-03 MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN. 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