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

2023-11-28 Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model. (98%)AprilPyone MaungMaung; Isao Echizen; Hitoshi Kiya 1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness. (13%)Bernd Prach; Fabio Brau; Giorgio Buttazzo; Christoph H. Lampert Scalable Extraction of Training Data from (Production) Language Models. (10%)Milad Nasr; Nicholas Carlini; Jonathan Hayase; Matthew Jagielski; A. Feder Cooper; Daphne Ippolito; Christopher A. Choquette-Choo; Eric Wallace; Florian Tramèr; Katherine Lee Cooperative Abnormal Node Detection with Adversary Resistance: A Probabilistic Approach. (10%)Yingying Huangfu; Tian Bai On robust overfitting: adversarial training induced distribution matters. (1%)Runzhi Tian; Yongyi Mao Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations. (1%)Maximilian Dreyer; Reduan Achtibat; Wojciech Samek; Sebastian Lapuschkin 2023-11-27 RetouchUAA: Unconstrained Adversarial Attack via Image Retouching. (99%)Mengda Xie; Yiling He; Meie Fang Adversaral Doodles: Interpretable and Human-drawable Attacks Provide Describable Insights. (99%)Ryoya Nara; Yusuke Matsui Instruct2Attack: Language-Guided Semantic Adversarial Attacks. (98%)Jiang Liu; Chen Wei; Yuxiang Guo; Heng Yu; Alan Yuille; Soheil Feizi; Chun Pong Lau; Rama Chellappa CLAP: Contrastive Learning with Augmented Prompts for Robustness on Pretrained Vision-Language Models. (95%)Yichao Cai; Yuhang Liu; Zhen Zhang; Javen Qinfeng Shi A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective. (50%)Xianghua Xie; Chen Hu; Hanchi Ren; Jingjing Deng Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? (31%)Ranyang Zhou; Jacqueline Liu; Sabbir Ahmed; Nakul Kochar; Adnan Siraj Rakin; Shaahin Angizi Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control. (22%)Han Zhang; Hao Zhou; Medhat Elsayed; Majid Bavand; Raimundas Gaigalas; Yigit Ozcan; Melike Erol-Kantarci "Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages. (15%)Ajka Draganovic; Savino Dambra; Javier Aldana Iuit; Kevin Roundy; Giovanni Apruzzese How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. (12%)Haoqin Tu; Chenhang Cui; Zijun Wang; Yiyang Zhou; Bingchen Zhao; Junlin Han; Wangchunshu Zhou; Huaxiu Yao; Cihang Xie Microarchitectural Security of AWS Firecracker VMM for Serverless Cloud Platforms. (1%)Zane Worcester Polytechnic Institute Weissman; Thore University of Lübeck Tiemann; Thomas University of Lübeck Eisenbarth; Berk Worcester Polytechnic Institute Sunar 2023-11-26 Adversarial Purification of Information Masking. (99%)Sitong Liu; Zhichao Lian; Shuangquan Zhang; Liang Xiao Having Second Thoughts? Let's hear it. (56%)Jung H. Lee; Sujith Vijayan BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. (13%)Jiawang Bai; Kuofeng Gao; Shaobo Min; Shu-Tao Xia; Zhifeng Li; Wei Liu Confidence Is All You Need for MI Attacks. (2%)Abhishek Sinha; Himanshi Tibrewal; Mansi Gupta; Nikhar Waghela; Shivank Garg 2023-11-25 Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off. (26%)Yatong Bai; Brendon G. Anderson; Somayeh Sojoudi Robust Graph Neural Networks via Unbiased Aggregation. (10%)Ruiqi Feng; Zhichao Hou; Tyler Derr; Xiaorui Liu Effective Backdoor Mitigation Depends on the Pre-training Objective. (10%)Sahil Verma; Gantavya Bhatt; Avi Schwarzschild; Soumye Singhal; Arnav Mohanty Das; Chirag Shah; John P Dickerson; Jeff Bilmes 2023-11-24 Trainwreck: A damaging adversarial attack on image classifiers. (99%)Jan Zahálka Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models. (96%)Francesco Croce; Matthias Hein Universal Jailbreak Backdoors from Poisoned Human Feedback. (1%)Javier Rando; Florian Tramèr 2023-11-23 When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence. (99%)Benoit Coqueret; Mathieu Carbone; Olivier Sentieys; Gabriel Zaid Adversarial defense based on distribution transfer. (99%)Jiahao Chen; Diqun Yan; Li Dong Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training. (68%)Karina Yang; Alexis Bennett; Dominique Duncan 2023-11-22 A Survey of Adversarial CAPTCHAs on its History, Classification and Generation. (99%)Zisheng Xu; Qiao Yan; F. Richard Yu; Victor C. M. Leung Transfer Attacks and Defenses for Large Language Models on Coding Tasks. (99%)Chi Zhang; Zifan Wang; Ravi Mangal; Matt Fredrikson; Limin Jia; Corina Pasareanu Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization. (98%)Yuzhe You; Jarvis Tse; Jian Zhao Hard Label Black Box Node Injection Attack on Graph Neural Networks. (93%)Yu Zhou; Zihao Dong; Guofeng Zhang; Jingchen Tang Security and Privacy Challenges in Deep Learning Models. (74%)Gopichandh Golla A Somewhat Robust Image Watermark against Diffusion-based Editing Models. (50%)Mingtian Tan; Tianhao Wang; Somesh Jha OASIS: Offsetting Active Reconstruction Attacks in Federated Learning. (2%)Tre' R. Jeter; Truc Nguyen; Raed Alharbi; My T. Thai 2023-11-21 SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. (96%)Yueqian Lin; Jingyang Zhang; Yiran Chen; Hai Li Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. (96%)Yixin Liu; Kaidi Xu; Xun Chen; Lichao Sun Attacking Motion Planners Using Adversarial Perception Errors. (69%)Jonathan Sadeghi; Nicholas A. Lord; John Redford; Romain Mueller Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. (62%)Yixin Liu; Chenrui Fan; Yutong Dai; Xun Chen; Pan Zhou; Lichao Sun Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches. (47%)Quazi Mishkatul Alam; Bilel Tarchoun; Ihsen Alouani; Nael Abu-Ghazaleh Iris Presentation Attack: Assessing the Impact of Combining Vanadium Dioxide Films with Artificial Eyes. (1%)Darshika Jauhari; Renu Sharma; Cunjian Chen; Nelson Sepulveda; Arun Ross 2023-11-20 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. (99%)Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. (99%)Nandish Chattopadhyay; Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique Generating Valid and Natural Adversarial Examples with Large Language Models. (99%)Zimu Wang; Wei Wang; Qi Chen; Qiufeng Wang; Anh Nguyen AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems. (99%)Sai Amrit Patnaik; Shivali Chansoriya; Anil K. Jain; Anoop M. Namboodiri Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems. (50%)Guangjing Wang; Ce Zhou; Yuanda Wang; Bocheng Chen; Hanqing Guo; Qiben Yan Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks. (15%)Evan Rose; Fnu Suya; David Evans Training robust and generalizable quantum models. (10%)Julian Berberich; Daniel Fink; Daniel Pranjić; Christian Tutschku; Christian Holm BrainWash: A Poisoning Attack to Forget in Continual Learning. (4%)Ali Abbasi; Parsa Nooralinejad; Hamed Pirsiavash; Soheil Kolouri 2023-11-19 Adversarial Prompt Tuning for Vision-Language Models. (97%)Jiaming Zhang; Xingjun Ma; Xin Wang; Lingyu Qiu; Jiaqi Wang; Yu-Gang Jiang; Jitao Sang BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. (69%)Siyuan Liang; Mingli Zhu; Aishan Liu; Baoyuan Wu; Xiaochun Cao; Ee-Chien Chang EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models. (10%)Ruoxi Chen; Haibo Jin; Jinyin Chen; Lichao Sun 2023-11-18 Boost Adversarial Transferability by Uniform Scale and Mix Mask Method. (99%)Tao Wang; Zijian Ying; Qianmu Li; zhichao Lian Improving Adversarial Transferability by Stable Diffusion. (99%)Jiayang Liu; Siyu Zhu; Siyuan Liang; Jie Zhang; Han Fang; Weiming Zhang; Ee-Chien Chang Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications. (92%)Giulio Rossolini; Alessandro Biondi; Giorgio Buttazzo TextGuard: Provable Defense against Backdoor Attacks on Text Classification. (82%)Hengzhi Pei; Jinyuan Jia; Wenbo Guo; Bo Li; Dawn Song Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies. (1%)Feng Wang; M. Cenk Gursoy; Senem Velipasalar 2023-11-17 Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. (97%)Hee-Seon Kim; Minji Son; Minbeom Kim; Myung-Joon Kwon; Changick Kim PACOL: Poisoning Attacks Against Continual Learners. (93%)Huayu Li; Gregory Ditzler Two-Factor Authentication Approach Based on Behavior Patterns for Defeating Puppet Attacks. (1%)Wenhao Wang; Guyue Li; Zhiming Chu; Haobo Li; Daniele Faccio 2023-11-16 Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. (99%)Ilbert Romain; V. Hoang Thai; Zhang Zonghua; Palpanas Themis Hijacking Large Language Models via Adversarial In-Context Learning. (75%)Yao Qiang; Xiangyu Zhou; Dongxiao Zhu Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. (54%)Nan Xu; Fei Wang; Ben Zhou; Bang Zheng Li; Chaowei Xiao; Muhao Chen Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. (38%)Wenjie Mo; Jiashu Xu; Qin Liu; Jiongxiao Wang; Jun Yan; Chaowei Xiao; Muhao Chen On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. (13%)Jiongxiao Wang; Junlin Wu; Muhao Chen; Yevgeniy Vorobeychik; Chaowei Xiao Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts. (2%)Shashank Kotyan; Danilo Vasconcellos Vargas Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities. (2%)Avishree Khare; Saikat Dutta; Ziyang Li; Alaia Solko-Breslin; Rajeev Alur; Mayur Naik Towards more Practical Threat Models in Artificial Intelligence Security. (2%)Kathrin Grosse; Lukas Bieringer; Tarek Richard Besold; Alexandre Alahi You Cannot Escape Me: Detecting Evasions of SIEM Rules in Enterprise Networks. (1%)Rafael Uetz; Marco Herzog; Louis Hackländer; Simon Schwarz; Martin Henze 2023-11-15 Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. (99%)Yuanwei Wu; Xiang Li; Yixin Liu; Pan Zhou; Lichao Sun Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment. (74%)Haoran Wang; Kai Shu Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing. (64%)A K Iowa State University Nirala; A New York University Joshi; C New York University Hegde; S Iowa State University Sarkar Adversarially Robust Spiking Neural Networks Through Conversion. (26%)Ozan Özdenizci; Robert Legenstein Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. (15%)Zhexin Zhang; Junxiao Yang; Pei Ke; Minlie Huang Privacy Threats in Stable Diffusion Models. (13%)Thomas Cilloni; Charles Fleming; Charles Walter How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities. (9%)Lingbo Mo; Boshi Wang; Muhao Chen; Huan Sun MirrorNet: A TEE-Friendly Framework for Secure On-device DNN Inference. (2%)Ziyu Liu; Yukui Luo; Shijin Duan; Tong Zhou; Xiaolin Xu Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. (1%)Yueqing Liang; Lu Cheng; Ali Payani; Kai Shu JAB: Joint Adversarial Prompting and Belief Augmentation. (1%)Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Jwala Dhamala; Shalini Ghosh; Richard Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 2023-11-14 Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning. (99%)Shashank Kotyan; Danilo Vasconcellos Vargas Physical Adversarial Examples for Multi-Camera Systems. (99%)Ana Răduţoiu; Jan-Philipp Schulze; Philip Sperl; Konstantin Böttinger DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. (99%)Yibo Wang; Xiangjue Dong; James Caverlee; Philip S. Yu On The Relationship Between Universal Adversarial Attacks And Sparse Representations. (98%)Dana Weitzner; Raja Giryes A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. (56%)Peng Ding; Jun Kuang; Dan Ma; Xuezhi Cao; Yunsen Xian; Jiajun Chen; Shujian Huang Multi-Set Inoculation: Assessing Model Robustness Across Multiple Challenge Sets. (13%)Vatsal Gupta; Pranshu Pandya; Tushar Kataria; Vivek Gupta; Dan Roth The Perception-Robustness Tradeoff in Deterministic Image Restoration. (1%)Guy Ohayon; Tomer Michaeli; Michael Elad 2023-11-13 Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models. (99%)Yuanbin Cheng; Koji Yamashita; Jim Follum; Nanpeng Yu Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models. (99%)Rui Duan; Zhe Qu; Leah Ding; Yao Liu; Zhuo Lu An Extensive Study on Adversarial Attack against Pre-trained Models of Code. (99%)Xiaohu Du; Ming Wen; Zichao Wei; Shangwen Wang; Hai Jin Untargeted Black-box Attacks for Social Recommendations. (96%)Wenqi Fan; Shijie Wang; Xiao-yong Wei; Xiaowei Mei; Qing Li On the Robustness of Neural Collapse and the Neural Collapse of Robustness. (80%)Jingtong Su; Ya Shi Zhang; Nikolaos Tsilivis; Julia Kempe Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data. (41%)Bart Pleiter; Behrad Tajalli; Stefanos Koffas; Gorka Abad; Jing Xu; Martha Larson; Stjepan Picek 2023-11-12 Learning Globally Optimized Language Structure via Adversarial Training. (83%)Xuwang Yin Contractive Systems Improve Graph Neural Networks Against Adversarial Attacks. (70%)Moshe Eliasof; Davide Murari; Ferdia Sherry; Carola-Bibiane Schönlieb Analytical Verification of Deep Neural Network Performance for Time-Synchronized Distribution System State Estimation. (5%)Behrouz Azimian; Shiva Moshtagh; Anamitra Pal; Shanshan Ma DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training. (1%)Kanta Kaneda; Ryosuke Korekata; Yuiga Wada; Shunya Nagashima; Motonari Kambara; Yui Iioka; Haruka Matsuo; Yuto Imai; Takayuki Nishimura; Komei Sugiura 2023-11-10 Flatness-aware Adversarial Attack. (99%)Mingyuan Fan; Xiaodan Li; Cen Chen; Yinggui Wang Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous. (99%)Ziwei Wang; Nabil Aouf; Jose Pizarro; Christophe Honvault Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive Patches. (98%)Jianan Feng; Jiachun Li; Changqing Miao; Jianjun Huang; Wei You; Wenchang Shi; Bin Liang Resilient and constrained consensus against adversarial attacks: A distributed MPC framework. (84%)Henglai Wei; Kunwu Zhang; Hui Zhang; Yang Shi CALLOC: Curriculum Adversarial Learning for Secure and Robust Indoor Localization. (1%)Danish Gufran; Sudeep Pasricha Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration. (1%)Wenjie Fu; Huandong Wang; Chen Gao; Guanghua Liu; Yong Li; Tao Jiang 2023-11-09 ABIGX: A Unified Framework for eXplainable Fault Detection and Classification. (68%)Yue Zhuo; Jinchuan Qian; Zhihuan Song; Zhiqiang Ge Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios. (50%)Yanli Li; Huaming Chen; Wei Bao; Zhengmeng Xu; Dong Yuan Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction. (15%)Shanghao Shi; Ning Wang; Yang Xiao; Chaoyu Zhang; Yi Shi; Y. Thomas Hou; Wenjing Lou FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts. (1%)Yichen Gong; Delong Ran; Jinyuan Liu; Conglei Wang; Tianshuo Cong; Anyu Wang; Sisi Duan; Xiaoyun Wang FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment. (1%)Qinghua Lin; Zuoyong Li; Kun Zeng; Haoyi Fan; Wei Li; Xiaoguang Zhou 2023-11-08 Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data. (99%)Thibault Simonetto; Salah Ghamizi; Antoine Desjardins; Maxime Cordy; Yves Le Traon Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection. (70%)Akshit Jindal; Vikram Goyal; Saket Anand; Chetan Arora Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5? (61%)C. Daniel Freeman; Laura Culp; Aaron Parisi; Maxwell L Bileschi; Gamaleldin F Elsayed; Alex Rizkowsky; Isabelle Simpson; Alex Alemi; Azade Nova; Ben Adlam; Bernd Bohnet; Gaurav Mishra; Hanie Sedghi; Igor Mordatch; Izzeddin Gur; Jaehoon Lee; JD Co-Reyes; Jeffrey Pennington; Kelvin Xu; Kevin Swersky; Kshiteej Mahajan; Lechao Xiao; Rosanne Liu; Simon Kornblith; Noah Constant; Peter J. Liu; Roman Novak; Yundi Qian; Noah Fiedel; Jascha Sohl-Dickstein SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training. (10%)Rui Xu; Wenkang Qin; Peixiang Huang; Haowang; Lin Luo Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. (1%)Xiangguo Sun; Hong Cheng; Hang Dong; Bo Qiao; Si Qin; Qingwei Lin Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning. (1%)Muhammad Akhtar Munir; Muhammad Haris Khan; M. Saquib Sarfraz; Mohsen Ali 2023-11-07 Unveiling Safety Vulnerabilities of Large Language Models. (61%)George Kour; Marcel Zalmanovici; Naama Zwerdling; Esther Goldbraich; Ora Nova Fandina; Ateret Anaby-Tavor; Orna Raz; Eitan Farchi FD-MIA: Efficient Attacks on Fairness-enhanced Models. (10%)Huan Tian; Guangsheng Zhang; Bo Liu; Tianqing Zhu; Ming Ding; Wanlei Zhou Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. (2%)Fengqing Jiang; Zhangchen Xu; Luyao Niu; Boxin Wang; Jinyuan Jia; Bo Li; Radha Poovendran SoK: Security Below the OS -- A Security Analysis of UEFI. (1%)Priyanka Prakash Surve; Oleg Brodt; Mark Yampolskiy; Yuval Elovici; Asaf Shabtai 2023-11-06 Measuring Adversarial Datasets. (92%)Yuanchen Bai; Raoyi Huang; Vijay Viswanathan; Tzu-Sheng Kuo; Tongshuang Wu Can LLMs Follow Simple Rules? (68%)Norman Mu; Sarah Chen; Zifan Wang; Sizhe Chen; David Karamardian; Lulwa Aljeraisy; Dan Hendrycks; David Wagner Preserving Privacy in GANs Against Membership Inference Attack. (33%)Mohammadhadi Shateri; Francisco Messina; Fabrice Labeau; Pablo Piantanida Cal-DETR: Calibrated Detection Transformer. (4%)Muhammad Akhtar Munir; Salman Khan; Muhammad Haris Khan; Mohsen Ali; Fahad Shahbaz Khan 2023-11-05 ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. (10%)Yushun Dong; Binchi Zhang; Hanghang Tong; Jundong Li 2023-11-04 From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models. (22%)Zhuoshi Pan; Yuguang Yao; Gaowen Liu; Bingquan Shen; H. Vicky Zhao; Ramana Rao Kompella; Sijia Liu 2023-11-03 Efficient Black-Box Adversarial Attacks on Neural Text Detectors. (22%)Vitalii Fishchuk; Daniel Braun The Alignment Problem in Context. (2%)Raphaël Millière 2023-11-02 Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms. (99%)Aakriti Shah Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly. (99%)Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. (93%)Sam Toyer; Olivia Watkins; Ethan Adrian Mendes; Justin Svegliato; Luke Bailey; Tiffany Wang; Isaac Ong; Karim Elmaaroufi; Pieter Abbeel; Trevor Darrell; Alan Ritter; Stuart Russell On the Lipschitz constant of random neural networks. (92%)Paul Geuchen; Thomas Heindl; Dominik Stöger; Felix Voigtlaender Universal Perturbation-based Secret Key-Controlled Data Hiding. (80%)Donghua Wang; Wen Yao; Tingsong Jiang; Xiaoqian Chen Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models. (76%)Andy Zhou; Jindong Wang; Yu-Xiong Wang; Haohan Wang Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction. (13%)Abhijith Sharma; Phil Munz; Apurva Narayan Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. (12%)Aryaman Reddi; Maximilian Tölle; Jan Peters; Georgia Chalvatzaki; Carlo D'Eramo Sequential Subset Matching for Dataset Distillation. (1%)Jiawei Du; Qin Shi; Joey Tianyi Zhou E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification. (1%)Sneh Pandya; Purvik Patel; Franc O; Jonathan Blazek 2023-11-01 NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks. (99%)Seokil Ham; Jungwuk Park; Dong-Jun Han; Jaekyun Moon Adversarial Examples in the Physical World: A Survey. (98%)Jiakai Wang; Donghua Wang; Jin Hu; Siyang Wu; Tingsong Jiang; Wen Yao; Aishan Liu; Xianglong Liu Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems. (80%)Ziqing Lu; Guanlin Liu; Lifeng Cai; Weiyu Xu Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation. (76%)Shashank Kotyan; Danilo Vasconcellos Vargas MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training. (75%)Jiacheng Li; Ninghui Li; Bruno Ribeiro Robustness Tests for Automatic Machine Translation Metrics with Adversarial Attacks. (1%)Yichen Huang; Timothy Baldwin Open-Set Face Recognition with Maximal Entropy and Objectosphere Loss. (1%)Rafael Henrique Vareto; Yu Linghu; Terrance E. Boult; William Robson Schwartz; Manuel Günther 2023-10-31 Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning. (99%)Haoyu Liu; Alec F. Diallo; Paul Patras Robust Safety Classifier for Large Language Models: Adversarial Prompt Shield. (99%)Jinhwa Kim; Ali Derakhshan; Ian G. Harris LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations. (99%)Kunyu Wang; Juluan Shi; Wenxuan Wang Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. (98%)Jung-Woo Chang; Ke Sun; Nasimeh Heydaribeni; Seira Hidano; Xinyu Zhang; Farinaz Koushanfar Is Robustness Transferable across Languages in Multilingual Neural Machine Translation? (26%)Leiyu Pan; Supryadi; Deyi Xiong Dynamic Batch Norm Statistics Update for Natural Robustness. (22%)Shahbaz Rezaei; Mohammad Sadegh Norouzzadeh 2023-10-30 Label-Only Model Inversion Attacks via Knowledge Transfer. (83%)Ngoc-Bao Nguyen; Keshigeyan Chandrasegaran; Milad Abdollahzadeh; Ngai-Man Cheung Exploring Geometry of Blind Spots in Vision Models. (83%)Sriram Balasubramanian; Gaurang Sriramanan; Vinu Sankar Sadasivan; Soheil Feizi Adversarial Attacks and Defenses in Large Language Models: Old and New Threats. (74%)Leo Schwinn; David Dobre; Stephan Günnemann; Gauthier Gidel Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models. (61%)Minxing Zhang; Ning Yu; Rui Wen; Michael Backes; Yang Zhang Differentially Private Reward Estimation with Preference Feedback. (16%)Sayak Ray Chowdhury; Xingyu Zhou; Nagarajan Natarajan Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications. (10%)Xintian Ren; Jun Wu; Hansong Xu; Qianqian Pan Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. (1%)Swanand Ravindra Kadhe; Heiko Ludwig; Nathalie Baracaldo; Alan King; Yi Zhou; Keith Houck; Ambrish Rawat; Mark Purcell; Naoise Holohan; Mikio Takeuchi; Ryo Kawahara; Nir Drucker; Hayim Shaul; Eyal Kushnir; Omri Soceanu 2023-10-29 Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods. (99%)Mahdi Salmani; Alireza Dehghanpour Farashah; Mohammad Azizmalayeri; Mahdi Amiri; Navid Eslami; Mohammad Taghi Manzuri; Mohammad Hossein Rohban Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. (98%)Han Liu; Xingshuo Huang; Xiaotong Zhang; Qimai Li; Fenglong Ma; Wei Wang; Hongyang Chen; Hong Yu; Xianchao Zhang BERT Lost Patience Won't Be Robust to Adversarial Slowdown. (98%)Zachary Coalson; Gabriel Ritter; Rakesh Bobba; Sanghyun Hong Adversarial Examples Are Not Real Features. (98%)Ang Li; Yifei Wang; Yiwen Guo; Yisen Wang IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI. (82%)Bochuan Cao; Changjiang Li; Ting Wang; Jinyuan Jia; Bo Li; Jinghui Chen Poisoning Retrieval Corpora by Injecting Adversarial Passages. (68%)Zexuan Zhong; Ziqing Huang; Alexander Wettig; Danqi Chen Label Poisoning is All You Need. (54%)Rishi D. Jha; Jonathan Hayase; Sewoong Oh Robustifying Language Models with Test-Time Adaptation. (47%)Noah Thomas McDermott; Junfeng Yang; Chengzhi Mao Path Analysis for Effective Fault Localization in Deep Neural Networks. (1%)Soroush Hashemifar; Saeed Parsa; Akram Kalaee 2023-10-28 Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation. (92%)Guang Yang; Yu Zhou; Xiangyu Zhang; Xiang Chen; Tingting Han; Taolue Chen Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. 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Jozsa Certification of Deep Learning Models for Medical Image Segmentation. (15%)Othmane Laousy; Alexandre Araujo; Guillaume Chassagnon; Nikos Paragios; Marie-Pierre Revel; Maria Vakalopoulou Certifiably Robust Graph Contrastive Learning. (5%)Minhua Lin; Teng Xiao; Enyan Dai; Xiang Zhang; Suhang Wang Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. (2%)Jiachi Liu; Liwen Wang; Guanting Dong; Xiaoshuai Song; Zechen Wang; Zhengyang Wang; Shanglin Lei; Jinzheng Zhao; Keqing He; Bo Xiao; Weiran Xu 2023-10-04 Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing. (98%)Daile Osorio-Roig; Mahdi Ghafourian; Christian Rathgeb; Ruben Vera-Rodriguez; Christoph Busch; Julian Fierrez Misusing Tools in Large Language Models With Visual Adversarial Examples. (97%)Xiaohan Fu; Zihan Wang; Shuheng Li; Rajesh K. Gupta; Niloofar Mireshghallah; Taylor Berg-Kirkpatrick; Earlence Fernandes Burning the Adversarial Bridges: Robust Windows Malware Detection Against Binary-level Mutations. (82%)Ahmed Abusnaina; Yizhen Wang; Sunpreet Arora; Ke Wang; Mihai Christodorescu; David Mohaisen Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors. (81%)Biagio Montaruli; Luca Demetrio; Maura Pintor; Luca Compagna; Davide Balzarotti; Battista Biggio Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation. (10%)Yihan Wu; Brandon Y. Feng; Heng Huang 2023-10-03 Splitting the Difference on Adversarial Training. (99%)Matan Levi; Aryeh Kontorovich DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training. (96%)Aochuan Chen; Yimeng Zhang; Jinghan Jia; James Diffenderfer; Jiancheng Liu; Konstantinos Parasyris; Yihua Zhang; Zheng Zhang; Bhavya Kailkhura; Sijia Liu SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers. (86%)KL Navaneet; Soroush Abbasi Koohpayegani; Essam Sleiman; Hamed Pirsiavash Towards Stable Backdoor Purification through Feature Shift Tuning. (83%)Rui Min; Zeyu Qin; Li Shen; Minhao Cheng Jailbreaker in Jail: Moving Target Defense for Large Language Models. (73%)Bocheng Chen; Advait Paliwal; Qiben Yan Beyond Labeling Oracles: What does it mean to steal ML models? (47%)Avital Shafran; Ilia Shumailov; Murat A. Erdogdu; Nicolas Papernot Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. (13%)Yanzhao Wu; Ka-Ho Chow; Wenqi Wei; Ling Liu FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks. (11%)Jorge Castillo; Phillip Rieger; Hossein Fereidooni; Qian Chen; Ahmad Sadeghi AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework. (3%)Xilie Xu; Jingfeng Zhang; Mohan Kankanhalli 2023-10-02 Fooling the Textual Fooler via Randomizing Latent Representations. (99%)Duy C. Hoang; Quang H. Nguyen; Saurav Manchanda; MinLong Peng; Kok-Seng Wong; Khoa D. Doan Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things. (92%)Xianjian Xie; Xiaochen Xian; Dan Li; Andi Wang LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model. (87%)Muhammad Ahmed Shah; Roshan Sharma; Hira Dhamyal; Raphael Olivier; Ankit Shah; Joseph Konan; Dareen Alharthi; Hazim T Bukhari; Massa Baali; Soham Deshmukh; Michael Kuhlmann; Bhiksha Raj; Rita Singh LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples. (87%)Jia-Yu Yao; Kun-Peng Ning; Zhen-Hui Liu; Mu-Nan Ning; Li Yuan Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models. (13%)Zhou Yang; Zhipeng Zhao; Chenyu Wang; Jieke Shi; Dongsum Kim; Donggyun Han; David Lo Toward effective protection against diffusion based mimicry through score distillation. (3%)Haotian Xue; Chumeng Liang; Xiaoyu Wu; Yongxin Chen Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations. (1%)Yongshuo Zong; Tingyang Yu; Bingchen Zhao; Ruchika Chavhan; Timothy Hospedales 2023-10-01 A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks. (99%)Yanjie Li; Bin Xie; Songtao Guo; Yuanyuan Yang; Bin Xiao Counterfactual Image Generation for adversarially robust and interpretable Classifiers. (96%)Rafael Bischof; Florian Scheidegger; Michael A. Kraus; A. Cristiano I. Malossi On the Onset of Robust Overfitting in Adversarial Training. 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(98%)Foozhan Ataiefard; Hadi Hemmati SurrogatePrompt: Bypassing the Safety Filter of Text-To-Image Models via Substitution. (1%)Zhongjie Ba; Jieming Zhong; Jiachen Lei; Peng Cheng; Qinglong Wang; Zhan Qin; Zhibo Wang; Kui Ren 2023-09-24 Adversarial Attacks on Video Object Segmentation with Hard Region Discovery. (99%)Ping Li; Yu Zhang; Li Yuan; Jian Zhao; Xianghua Xu; Xiaoqin Zhang Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks. (98%)Ao-Xiang Zhang; Yu Ran; Weixuan Tang; Yuan-Gen Wang On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors. (86%)Trong-Nghia To; Danh Le Kim; Do Thi Thu Hien; Nghi Hoang Khoa; Hien Do Hoang; Phan The Duy; Van-Hau Pham Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition. (80%)Andreea Postovan; Mădălina Eraşcu Projected Randomized Smoothing for Certified Adversarial Robustness. (76%)Samuel Pfrommer; Brendon G. 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(99%)Hao Cheng; Jinhao Duan; Hui Li; Lyutianyang Zhang; Jiahang Cao; Ping Wang; Jize Zhang; Kaidi Xu; Renjing Xu Spatial-frequency channels, shape bias, and adversarial robustness. (69%)Ajay Subramanian; Elena Sizikova; Najib J. Majaj; Denis G. Pelli VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks. (69%)Heitor R. Guimarães; Arthur Pimentel; Anderson Avila; Tiago H. Falk Understanding Deep Gradient Leakage via Inversion Influence Functions. (11%)Haobo Zhang; Junyuan Hong; Yuyang Deng; Mehrdad Mahdavi; Jiayu Zhou Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. (10%)Hanjiang Hu; Zuxin Liu; Linyi Li; Jiacheng Zhu; Ding Zhao Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? (5%)Xiaoxiao Sun; Nidham Gazagnadou; Vivek Sharma; Lingjuan Lyu; Hongdong Li; Liang Zheng Expressive variational quantum circuits provide inherent privacy in federated learning. (1%)Niraj Kumar; Jamie Heredge; Changhao Li; Shaltiel Eloul; Shree Hari Sureshbabu; Marco Pistoia On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures. (1%)Qingzhao Zhang; Shuowei Jin; Ruiyang Zhu; Jiachen Sun; Xumiao Zhang; Qi Alfred Chen; Z. Morley Mao 2023-09-21 Improving Machine Learning Robustness via Adversarial Training. (99%)Long Dang; Thushari Hapuarachchi; Kaiqi Xiong; Jing Lin A Chinese Prompt Attack Dataset for LLMs with Evil Content. (62%)Chengyuan Liu; Fubang Zhao; Lizhi Qing; Yangyang Kang; Changlong Sun; Kun Kuang; Fei Wu HANS, are you clever? Clever Hans Effect Analysis of Neural Systems. (45%)Leonardo Ranaldi; Fabio Massimo Zanzotto On the Relationship between Skill Neurons and Robustness in Prompt Tuning. 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(99%)Emanuele Ledda; Daniele Angioni; Giorgio Piras; Giorgio Fumera; Battista Biggio; Fabio Roli Model Leeching: An Extraction Attack Targeting LLMs. (76%)Lewis Birch; William Hackett; Stefan Trawicki; Neeraj Suri; Peter Garraghan Information Leakage from Data Updates in Machine Learning Models. (16%)Tian Hui; Farhad Farokhi; Olga Ohrimenko Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers. (16%)Zhen Li; Ruqian Zhang; Deqing Zou; Ning Wang; Yating Li; Shouhuai Xu; Chen Chen; Hai Jin SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks. (12%)Zizhen Liu; Weiyang He; Chip-Hong Chang; Jing Ye; Huawei Li; Xiaowei Li It's Simplex! Disaggregating Measures to Improve Certified Robustness. (11%)Andrew C. Cullen; Paul Montague; Shijie Liu; Sarah M. Erfani; Benjamin I. P. Rubinstein Nebula: Self-Attention for Dynamic Malware Analysis. (5%)Dmitrijs Trizna; Luca Demetrio; Battista Biggio; Fabio Roli Extreme Image Transformations Facilitate Robust Latent Object Representations. (1%)Girik Malik; Dakarai Crowder; Ennio Mingolla 2023-09-18 Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. (99%)Huihui Gong; Minjing Dong; Siqi Ma; Seyit Camtepe; Surya Nepal; Chang Xu Transferable Adversarial Attack on Image Tampering Localization. (99%)Yuqi Wang; Gang Cao; Zijie Lou; Haochen Zhu Efficient Low-Rank GNN Defense Against Structural Attacks. (96%)Abdullah Alchihabi; Qing En; Yuhong Guo Evaluating Adversarial Robustness with Expected Viable Performance. (45%)Ryan McCoppin; Colin Dawson; Sean M. Kennedy; Leslie M. Blaha Dual Student Networks for Data-Free Model Stealing. (26%)James Beetham; Navid Kardan; Ajmal Mian; Mubarak Shah Securing Fixed Neural Network Steganography. (5%)Zicong Luo; Sheng Li; Guobiao Li; Zhenxing Qian; Xinpeng Zhang GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts. (4%)Jiahao Yu; Xingwei Lin; Zheng Yu; Xinyu Xing Spoofing attack augmentation: can differently-trained attack models improve generalisation? (3%)Wanying Ge; Xin Wang; Junichi Yamagishi; Massimiliano Todisco; Nicholas Evans Frame-to-Utterance Convergence: A Spectra-Temporal Approach for Unified Spoofing Detection. (1%)Awais Khan; Khalid Mahmood Malik; Shah Nawaz 2023-09-17 Reducing Adversarial Training Cost with Gradient Approximation. (99%)Huihui Gong; Shuo Yang; Siqi Ma; Seyit Camtepe; Surya Nepal; Chang Xu Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM. (61%)Bochuan Cao; Yuanpu Cao; Lu Lin; Jinghui Chen 2023-09-16 Context-aware Adversarial Attack on Named Entity Recognition. (99%)Shuguang Chen; Leonardo Neves; Thamar Solorio Inverse classification with logistic and softmax classifiers: efficient optimization. (56%)Miguel Á. Carreira-Perpiñán; Suryabhan Singh Hada Robust Backdoor Attacks on Object Detection in Real World. (11%)Yaguan Qian; Boyuan Ji; Shuke He; Shenhui Huang; Xiang Ling; Bin Wang; Wei Wang Conditional Mutual Information Constrained Deep Learning for Classification. (5%)En-Hui Yang; Shayan Mohajer Hamidi; Linfeng Ye; Renhao Tan; Beverly Yang 2023-09-15 Adversarial Attacks on Tables with Entity Swap. (92%)Aneta Koleva; Martin Ringsquandl; Volker Tresp HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. (87%)Minh-Hao Van; Alycia N. Carey; Xintao Wu A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services. (1%)Hongsheng Hu; Shuo Wang; Jiamin Chang; Haonan Zhong; Ruoxi Sun; Shuang Hao; Haojin Zhu; Minhui Xue Distributionally Robust Post-hoc Classifiers under Prior Shifts. (1%)Jiaheng Wei; Harikrishna Narasimhan; Ehsan Amid; Wen-Sheng Chu; Yang Liu; Abhishek Kumar 2023-09-14 Unleashing the Adversarial Facet of Software Debloating. (98%)Do-Men Su; Mohannad Alhanahnah SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems. (76%)Guangke Chen; Yedi Zhang; Fu Song BAGEL: Backdoor Attacks against Federated Contrastive Learning. (16%)Yao Huang; Kongyang Chen; Jiannong Cao; Jiaxing Shen; Shaowei Wang; Yun Peng; Weilong Peng; Kechao Cai What Matters to Enhance Traffic Rule Compliance of Imitation Learning for Automated Driving. (13%)Hongkuan Zhou; Aifen Sui; Wei Cao; Letian Shi Physical Invisible Backdoor Based on Camera Imaging. (2%)Yusheng Guo; Nan Zhong; Zhenxing Qian; Xinpeng Zhang M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations. (1%)Giada Zingarini; Davide Cozzolino; Riccardo Corvi; Giovanni Poggi; Luisa Verdoliva 2023-09-13 Semantic Adversarial Attacks via Diffusion Models. (99%)Chenan Wang; Jinhao Duan; Chaowei Xiao; Edward Kim; Matthew Stamm; Kaidi Xu Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks. (99%)Yang Zheng; Luca Demetrio; Antonio Emanuele Cinà; Xiaoyi Feng; Zhaoqiang Xia; Xiaoyue Jiang; Ambra Demontis; Battista Biggio; Fabio Roli Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments. (99%)Simon Queyrut; Valerio Schiavoni; Pascal Felber PhantomSound: Black-Box, Query-Efficient Audio Adversarial Attack via Split-Second Phoneme Injection. (99%)Hanqing Guo; Guangjing Wang; Yuanda Wang; Bocheng Chen; Qiben Yan; Li Xiao APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation. (92%)Yafeng Gu; Yiheng Shen; Xiang Chen; Shaoyu Yang; Yiling Huang; Zhixiang Cao RAIN: Your Language Models Can Align Themselves without Finetuning. (83%)Yuhui Li; Fangyun Wei; Jinjing Zhao; Chao Zhang; Hongyang Zhang Differentiable JPEG: The Devil is in the Details. 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(98%)Max Losch; David Stutz; Bernt Schiele; Mario Fritz Exploring Non-additive Randomness on ViT against Query-Based Black-Box Attacks. (98%)Jindong Gu; Fangyun Wei; Philip Torr; Han Hu Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review. (61%)Pengzhou Cheng; Zongru Wu; Wei Du; Gongshen Liu CToMP: A Cycle-task-oriented Memory Protection Scheme for Unmanned Systems. (8%)Chengyan Ma; Ning Xi; Di Lu; Yebo Feng; Jianfeng Ma Language Models as Black-Box Optimizers for Vision-Language Models. (4%)Shihong Liu; Samuel Yu; Zhiqiu Lin; Deepak Pathak; Deva Ramanan Unveiling Signle-Bit-Flip Attacks on DNN Executables. (1%)Yanzuo The Hong Kong University of Science and Technology Chen; Zhibo The Hong Kong University of Science and Technology Liu; Yuanyuan The Hong Kong University of Science and Technology Yuan; Sihang Huawei Technologies Hu; Tianxiang Huawei Technologies Li; Shuai The Hong Kong University of Science and Technology Wang 2023-09-11 Generalized Attacks on Face Verification Systems. (88%)Ehsan Nazari; Paula Branco; Guy-Vincent Jourdan Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning. (76%)Gustavo Olague; Roberto Pineda; Gerardo Ibarra-Vazquez; Matthieu Olague; Axel Martinez; Sambit Bakshi; Jonathan Vargas; Isnardo Reducindo Backdoor Attack through Machine Unlearning. (67%)Peixin Zhang; Jun Sun; Mingtian Tan; Xinyu Wang Privacy Side Channels in Machine Learning Systems. (10%)Edoardo Debenedetti; Giorgio Severi; Nicholas Carlini; Christopher A. Choquette-Choo; Matthew Jagielski; Milad Nasr; Eric Wallace; Florian Tramèr Divergences in Color Perception between Deep Neural Networks and Humans. (4%)Ethan O. Nadler; Elise Darragh-Ford; Bhargav Srinivasa Desikan; Christian Conaway; Mark Chu; Tasker Hull; Douglas Guilbeault Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking. (1%)Weitao Feng; Jiyan He; Jie Zhang; Tianwei Zhang; Wenbo Zhou; Weiming Zhang; Nenghai Yu Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs. (1%)Wenhua Cheng; Weiwei Zhang; Haihao Shen; Yiyang Cai; Xin He; Kaokao Lv 2023-09-10 Outlier Robust Adversarial Training. (98%)Shu Hu; Zhenhuan Yang; Xin Wang; Yiming Ying; Siwei Lyu DAD++: Improved Data-free Test Time Adversarial Defense. (98%)Gaurav Kumar Nayak; Inder Khatri; Shubham Randive; Ruchit Rawal; Anirban Chakraborty Machine Translation Models Stand Strong in the Face of Adversarial Attacks. (86%)Pavel Burnyshev; Elizaveta Kostenok; Alexey Zaytsev Secure Set-Based State Estimation for Linear Systems under Adversarial Attacks on Sensors. (3%)Muhammad Umar B. Niazi; Michelle S. Chong; Amr Alanwar; Karl H. Johansson 2023-09-09 Towards Robust Model Watermark via Reducing Parametric Vulnerability. (8%)Guanhao Gan; Yiming Li; Dongxian Wu; Shu-Tao Xia RecAD: Towards A Unified Library for Recommender Attack and Defense. (1%)Changsheng Wang; Jianbai Ye; Wenjie Wang; Chongming Gao; Fuli Feng; Xiangnan He 2023-09-08 Exploring Robust Features for Improving Adversarial Robustness. (99%)Hong Wang; Yuefan Deng; Shinjae Yoo; Yuewei Lin ARRTOC: Adversarially Robust Real-Time Optimization and Control. (2%)Akhil Ahmed; Rio-Chanona Ehecatl Antonio del; Mehmet Mercangoz Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection. (1%)Biswaraj Baral; Reek Majumdar; Bhavika Bhalgamiya; Taposh Dutta Roy Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse. (1%)Edward A. Small; Jeffrey N. Clark; Christopher J. McWilliams; Kacper Sokol; Jeffrey Chan; Flora D. Salim; Raul Santos-Rodriguez 2023-09-07 How adversarial attacks can disrupt seemingly stable accurate classifiers. (99%)Oliver J. Sutton; Qinghua Zhou; Ivan Y. Tyukin; Alexander N. Gorban; Alexander Bastounis; Desmond J. Higham Experimental Study of Adversarial Attacks on ML-based xApps in O-RAN. (99%)Naveen Naik Sapavath; Brian Kim; Kaushik Chowdhury; Vijay K Shah Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences. (95%)Jeremiah Birrell; Mohammadreza Ebrahimi DiffDefense: Defending against Adversarial Attacks via Diffusion Models. (80%)Hondamunige Prasanna Silva; Lorenzo Seidenari; Bimbo Alberto Del One-to-Multiple Clean-Label Image Camouflage (OmClic) based Backdoor Attack on Deep Learning. (73%)Guohong Wang; Hua Ma; Yansong Gao; Alsharif Abuadbba; Zhi Zhang; Wei Kang; Said F. Al-Sarawib; Gongxuan Zhang; Derek Abbott Promoting Fairness in GNNs: A Characterization of Stability. (1%)Yaning Jia; Chunhui Zhang 2023-09-06 Certifying LLM Safety against Adversarial Prompting. (86%)Aounon Kumar; Chirag Agarwal; Suraj Srinivas; Soheil Feizi; Hima Lakkaraju SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. (84%)Chang George Dong; Liangwei Nathan Zheng; Weitong Chen; Wei Emma Zhang; Lin Yue Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy. (68%)Zikai Zhang; Rui Hu J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. (38%)Tharindu Kumarage; Amrita Bhattacharjee; Djordje Padejski; Kristy Roschke; Dan Gillmor; Scott Ruston; Huan Liu; Joshua Garland MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks. (22%)Yifan Lu; Wenxuan Li; Mi Zhang; Xudong Pan; Min Yang My Art My Choice: Adversarial Protection Against Unruly AI. (2%)Anthony Rhodes; Ram Bhagat; Umur Aybars Ciftci; Ilke Demir VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints. (1%)Aoting Hu; Zhigang Lu; Renjie Xie; Minhui Xue A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness. (1%)Ze Peng; Lei Qi; Yinghuan Shi; Yang Gao 2023-09-05 The Adversarial Implications of Variable-Time Inference. (99%)Dudi Biton; Aditi Misra; Efrat Levy; Jaidip Kotak; Ron Bitton; Roei Schuster; Nicolas Papernot; Yuval Elovici; Ben Nassi Adaptive Adversarial Training Does Not Increase Recourse Costs. (92%)Ian Hardy; Jayanth Yetukuri; Yang Liu Black-Box Attacks against Signed Graph Analysis via Balance Poisoning. (87%)Jialong Zhou; Yuni Lai; Jian Ren; Kai Zhou RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems. (83%)Abhishek Moitra; Abhiroop Bhattacharjee; Youngeun Kim; Priyadarshini Panda Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. (4%)Vimal K B; Saketh Bachu; Tanmay Garg; Niveditha Lakshmi Narasimhan; Raghavan Konuru; Vineeth N Balasubramanian Robust Recommender System: A Survey and Future Directions. (2%)Kaike Zhang; Qi Cao; Fei Sun; Yunfan Wu; Shuchang Tao; Huawei Shen; Xueqi Cheng Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning. (1%)Siyang Jiang; Rui Fang; Hsi-Wen Chen; Wei Ding; Ming-Syan Chen 2023-09-04 Hindering Adversarial Attacks with Multiple Encrypted Patch Embeddings. (99%)AprilPyone MaungMaung; Isao Echizen; Hitoshi Kiya Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration. (99%)Fengfan Zhou; Hefei Ling; Yuxuan Shi; Jiazhong Chen; Ping Li Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF. (99%)Leheng Li; Qing Lian; Ying-Cong Chen Toward Defensive Letter Design. (98%)Rentaro Kataoka; Akisato Kimura; Seiichi Uchida MathAttack: Attacking Large Language Models Towards Math Solving Ability. (97%)Zihao Zhou; Qiufeng Wang; Mingyu Jin; Jie Yao; Jianan Ye; Wei Liu; Wei Wang; Xiaowei Huang; Kaizhu Huang Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks. (93%)Kacem Khaled; Mouna Dhaouadi; Magalhães Felipe Gohring de; Gabriela Nicolescu Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting. (92%)Ping He; Yifan Xia; Xuhong Zhang; Shouling Ji Safe and Robust Watermark Injection with a Single OoD Image. (8%)Shuyang Yu; Junyuan Hong; Haobo Zhang; Haotao Wang; Zhangyang Wang; Jiayu Zhou Dropout Attacks. (2%)Andrew Yuan; Alina Oprea; Cheng Tan Uncertainty in AI: Evaluating Deep Neural Networks on Out-of-Distribution Images. (2%)Jamiu Idowu; Ahmed Almasoud 2023-09-03 Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet. (99%)Yunuo Xiong; Shujuan Liu; Hongwei Xiong Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection. (98%)Weijie Wang; Zhengyu Zhao; Nicu Sebe; Bruno Lepri AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training. (98%)Xingyuan Li; Jinyuan Liu; Long Ma; Xin Fan; Risheng Liu Robust Adversarial Defense by Tensor Factorization. (89%)Manish Bhattarai; Mehmet Cagri Kaymak; Ryan Barron; Ben Nebgen; Kim Rasmussen; Boian Alexandrov Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception. (13%)Zengxi Zhang; Zhiying Jiang; Zeru Shi; Jinyuan Liu; Risheng Liu 2023-09-02 Towards Certified Probabilistic Robustness with High Accuracy. (98%)Ruihan Zhang; Peixin Zhang; Jun Sun Timbre-reserved Adversarial Attack in Speaker Identification. (98%)Qing Wang; Jixun Yao; Li Zhang; Pengcheng Guo; Lei Xie Regularly Truncated M-estimators for Learning with Noisy Labels. (1%)Xiaobo Xia; Pengqian Lu; Chen Gong; Bo Han; Jun Yu; Jun Yu; Tongliang Liu 2023-09-01 Baseline Defenses for Adversarial Attacks Against Aligned Language Models. (99%)Neel Jain; Avi Schwarzschild; Yuxin Wen; Gowthami Somepalli; John Kirchenbauer; Ping-yeh Chiang; Micah Goldblum; Aniruddha Saha; Jonas Geiping; Tom Goldstein Curating Naturally Adversarial Datasets for Trustworthy AI in Healthcare. (99%)Sydney Pugh; Ivan Ruchkin; Insup Lee; James Weimer Non-Asymptotic Bounds for Adversarial Excess Risk under Misspecified Models. (89%)Changyu Liu; Yuling Jiao; Junhui Wang; Jian Huang Why do universal adversarial attacks work on large language models?: Geometry might be the answer. (83%)Varshini Subhash; Anna Bialas; Weiwei Pan; Finale Doshi-Velez RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. (1%)Fengxiang Bie; Yibo Yang; Zhongzhu Zhou; Adam Ghanem; Minjia Zhang; Zhewei Yao; Xiaoxia Wu; Connor Holmes; Pareesa Golnari; David A. Clifton; Yuxiong He; Dacheng Tao; Shuaiwen Leon Song Learned Visual Features to Textual Explanations. (1%)Saeid Asgari Taghanaki; Aliasghar Khani; Amir Khasahmadi; Aditya Sanghi; Karl D. D. Willis; Ali Mahdavi-Amiri 2023-08-31 Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. (98%)Satoshi Suzuki; Shin'ya Yamaguchi; Shoichiro Takeda; Sekitoshi Kanai; Naoki Makishima; Atsushi Ando; Ryo Masumura Image Hijacking: Adversarial Images can Control Generative Models at Runtime. (98%)Luke Bailey; Euan Ong; Stuart Russell; Scott Emmons The Power of MEME: Adversarial Malware Creation with Model-Based Reinforcement Learning. (93%)Maria Rigaki; Sebastian Garcia Fault Injection and Safe-Error Attack for Extraction of Embedded Neural Network Models. (75%)Kevin Hector; Pierre-Alain Moellic; Mathieu Dumont; Jean-Max Dutertre Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack. (75%)Sze Jue Yang; Quang Nguyen; Chee Seng Chan; Khoa D. Doan FTA: Stealthy and Robust Backdoor Attack with Flexible Trigger on Federated Learning. (45%)Yanqi Qiao; Congwen Chen; Rui Wang; Kaitai Liang 2023-08-30 Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach. (98%)Zahra University of Surrey Chaghazardi; Saber University of Surrey Fallah; Alireza University of Surrey Tamaddoni-Nezhad Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. (11%)ShengYun Peng; Weilin Xu; Cory Cornelius; Matthew Hull; Kevin Li; Rahul Duggal; Mansi Phute; Jason Martin; Duen Horng Chau 2023-08-29 Adaptive Attack Detection in Text Classification: Leveraging Space Exploration Features for Text Sentiment Classification. (99%)Atefeh Mahdavi; Neda Keivandarian; Marco Carvalho Advancing Adversarial Robustness Through Adversarial Logit Update. (99%)Hao Xuan; Peican Zhu; Xingyu Li Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary. (99%)Fahad Alrasheedi; Xin Zhong A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation. (99%)Sahar Sadrizadeh; Ljiljana Dolamic; Pascal Frossard MDTD: A Multi Domain Trojan Detector for Deep Neural Networks. (97%)Arezoo Rajabi; Surudhi Asokraj; Fengqing Jiang; Luyao Niu; Bhaskar Ramasubramanian; Jim Ritcey; Radha Poovendran 3D Adversarial Augmentations for Robust Out-of-Domain Predictions. (87%)Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Nassir Navab; Benjamin Busam; Federico Tombari Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. (84%)Haoran Liu; Bokun Wang; Jianling Wang; Xiangjue Dong; Tianbao Yang; James Caverlee Adaversarial Issue of Machine Learning Approaches Applied in Smart Grid: A Survey. (70%)Zhenyong Zhang; Mengxiang Liu Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models. (67%)Takami Sato; Justin Yue; Nanze Chen; Ningfei Wang; Qi Alfred Chen Can We Rely on AI? (50%)Desmond J. Higham Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. (1%)Tareen Dawood; Chen Chen; Baldeep S. Sidhua; Bram Ruijsink; Justin Goulda; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Esther Puyol-Anton; Reza Razavi; Andrew P. King 2023-08-28 Adversarial Attacks on Foundational Vision Models. (80%)Nathan Inkawhich; Gwendolyn McDonald; Ryan Luley DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing. (45%)Jiawei Zhang; Zhongzhu Chen; Huan Zhang; Chaowei Xiao; Bo Li Identifying and Mitigating the Security Risks of Generative AI. (45%)Clark Barrett; Brad Boyd; Elie Burzstein; Nicholas Carlini; Brad Chen; Jihye Choi; Amrita Roy Chowdhury; Mihai Christodorescu; Anupam Datta; Soheil Feizi; Kathleen Fisher; Tatsunori Hashimoto; Dan Hendrycks; Somesh Jha; Daniel Kang; Florian Kerschbaum; Eric Mitchell; John Mitchell; Zulfikar Ramzan; Khawaja Shams; Dawn Song; Ankur Taly; Diyi Yang ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events. (2%)Aizaz Sharif; Dusica Marijan Rep2wav: Noise Robust text-to-speech Using self-supervised representations. (1%)Qiushi Zhu; Yu Gu; Rilin Chen; Chao Weng; Yuchen Hu; Lirong Dai; Jie Zhang Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? (1%)Andrea Corsini; Shanchieh Jay Yang 2023-08-27 Detecting Language Model Attacks with Perplexity. (1%)Gabriel Alon; Michael Kamfonas 2023-08-24 Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. (99%)Youze Wang; Wenbo Hu; Yinpeng Dong; Richang Hong Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers. (92%)Paul Gavrikov; Janis Keuper Evaluating the Vulnerabilities in ML systems in terms of adversarial attacks. (82%)John Harshith; Mantej Singh Gill; Madhan Jothimani Fast Adversarial Training with Smooth Convergence. (3%)Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin WavMark: Watermarking for Audio Generation. (2%)Guangyu Chen; Yu Wu; Shujie Liu; Tao Liu; Xiaoyong Du; Furu Wei 2023-08-23 On-Manifold Projected Gradient Descent. (99%)Aaron Mahler; Tyrus Berry; Tom Stephens; Harbir Antil; Michael Merritt; Jeanie Schreiber; Ioannis Kevrekidis Sample Complexity of Robust Learning against Evasion Attacks. (98%)Pascale Gourdeau LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition. (92%)Sayanton V. Dibbo; Juston S. Moore; Garrett T. Kenyon; Michael A. Teti BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection. (74%)Tinghao Xie; Xiangyu Qi; Ping He; Yiming Li; Jiachen T. Wang; Prateek Mittal RemovalNet: DNN Fingerprint Removal Attacks. (69%)Hongwei Yao; Zheng Li; Kunzhe Huang; Jian Lou; Zhan Qin; Kui Ren Graph Unlearning: A Review. (2%)Anwar Said; Tyler Derr; Mudassir Shabbir; Waseem Abbas; Xenofon Koutsoukos Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers. (1%)Tommaso Zoppi; Andrea Ceccarelli; Andrea Bondavalli Aparecium: Revealing Secrets from Physical Photographs. (1%)Zhe Lei; Jie Zhang; Jingtao Li; Weiming Zhang; Nenghai Yu 2023-08-22 SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks. (99%)Yue Gao; Ilia Shumailov; Kassem Fawaz Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. (99%)Mahmoud Nazzal; Issa Khalil; Abdallah Khreishah; NhatHai Phan; Yao Ma Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack. (98%)Ningfei Wang; Yunpeng Luo; Takami Sato; Kaidi Xu; Qi Alfred Chen Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation. (86%)Yanxin Yang; Ming Hu; Yue Cao; Jun Xia; Yihao Huang; Yang Liu; Mingsong Chen Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. (76%)Xiaojun Jia; Yuefeng Chen; Xiaofeng Mao; Ranjie Duan; Jindong Gu; Rong Zhang; Hui Xue; Xiaochun Cao Designing an attack-defense game: how to increase robustness of financial transaction models via a competition. (75%)Alexey Zaytsev; Alex Natekin; Evgeni Vorsin; Valerii Smirnov; Oleg Sidorshin; Alexander Senin; Alexander Dudin; Dmitry Berestnev Adversarial Training Using Feedback Loops. (74%)Ali Haisam Muhammad Rafid; Adrian Sandu LEAP: Efficient and Automated Test Method for NLP Software. (31%)Mingxuan Xiao; Yan Xiao; Hai Dong; Shunhui Ji; Pengcheng Zhang PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. (16%)Yizhen Institute for AI Industry Research Yuan; Rui Shanghai Jiao Tong University, Shanghai, China Kong; Shenghao Wuhan University, Wuhan, China Xie; Yuanchun Institute for AI Industry Research Shanghai AI Laboratory, Shanghai, China Li; Yunxin Institute for AI Industry Research Shanghai AI Laboratory, Shanghai, China Liu 2023-08-21 Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs. (99%)Dongjin Lee; Juho Lee; Kijung Shin Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. (99%)Zhijin Ge; Fanhua Shang; Hongying Liu; Yuanyuan Liu; Liang Wan; Wei Feng; Xiaosen Wang Enhancing Adversarial Attacks: The Similar Target Method. (99%)Shuo Zhang; Ziruo Wang; Zikai Zhou; Huanran Chen Adversarial Attacks on Code Models with Discriminative Graph Patterns. (96%)Thanh-Dat Pick Nguyen; Yang Pick Zhou; Xuan Bach D. Pick Le; Pick Patanamon; Thongtanunam; David Lo Temporal-Distributed Backdoor Attack Against Video Based Action Recognition. (88%)Xi Li; Songhe Wang; Ruiquan Huang; Mahanth Gowda; George Kesidis Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models. (76%)Preben M. Ness; Dusica Marijan; Sunanda Bose Single-User Injection for Invisible Shilling Attack against Recommender Systems. (62%)Chengzhi Huang; Hui Li On the Adversarial Robustness of Multi-Modal Foundation Models. (4%)Christian Schlarmann; Matthias Hein Unlocking Accuracy and Fairness in Differentially Private Image Classification. (2%)Leonard Berrada; Soham De; Judy Hanwen Shen; Jamie Hayes; Robert Stanforth; David Stutz; Pushmeet Kohli; Samuel L. Smith; Borja Balle 2023-08-20 Boosting Adversarial Transferability by Block Shuffle and Rotation. (99%)Kunyu Wang; Xuanran He; Wenxuan Wang; Xiaosen Wang Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting. (96%)Qidong Huang; Xiaoyi Dong; Dongdong Chen; Yinpeng Chen; Lu Yuan; Gang Hua; Weiming Zhang; Nenghai Yu HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds. (96%)Hejia Geng; Peng Li Hiding Backdoors within Event Sequence Data via Poisoning Attacks. (95%)Elizaveta Kovtun; Alina Ermilova; Dmitry Berestnev; Alexey Zaytsev Adversarial Collaborative Filtering for Free. (61%)Huiyuan Chen; Xiaoting Li; Vivian Lai; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng; Mahashweta Das; Hao Yang Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. (1%)Kaixin Xu; Zhe Wang; Xue Geng; Jie Lin; Min Wu; Xiaoli Li; Weisi Lin A Study on Robustness and Reliability of Large Language Model Code Generation. (1%)Li Zhong; Zilong Wang 2023-08-19 A Comparison of Adversarial Learning Techniques for Malware Detection. (99%)Pavla Louthánová; Matouš Kozák; Martin Jureček; Mark Stamp Robust Mixture-of-Expert Training for Convolutional Neural Networks. (83%)Yihua Zhang; Ruisi Cai; Tianlong Chen; Guanhua Zhang; Huan Zhang; Pin-Yu Chen; Shiyu Chang; Zhangyang Wang; Sijia Liu 2023-08-18 Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. (99%)Yu-An Liu; Ruqing Zhang; Jiafeng Guo; Rijke Maarten de; Wei Chen; Yixing Fan; Xueqi Cheng Attacking logo-based phishing website detectors with adversarial perturbations. (99%)Jehyun Lee; Zhe Xin; Melanie Ng Pei See; Kanav Sabharwal; Giovanni Apruzzese; Dinil Mon Divakaran Compensating Removed Frequency Components: Thwarting Voice Spectrum Reduction Attacks. (92%)Shu Wang; Kun Sun; Qi Li Poison Dart Frog: A Clean-Label Attack with Low Poisoning Rate and High Attack Success Rate in the Absence of Training Data. (54%)Binhao Ma; Jiahui Wang; Dejun Wang; Bo Meng Backdoor Mitigation by Correcting the Distribution of Neural Activations. (11%)Xi Li; Zhen Xiang; David J. Miller; George Kesidis On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box. (9%)Yi Cai; Gerhard Wunder Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. (9%)Sungwon Han; Sungwon Park; Fangzhao Wu; Sundong Kim; Bin Zhu; Xing Xie; Meeyoung Cha Defending Label Inference Attacks in Split Learning under Regression Setting. (4%)Haoze Qiu; Fei Zheng; Chaochao Chen; Xiaolin Zheng An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software. (1%)Wenxuan Wang; Jingyuan Huang; Jen-tse Huang; Chang Chen; Jiazhen Gu; Pinjia He; Michael R. Lyu Proceedings of the 2nd International Workshop on Adaptive Cyber Defense. (1%)Marco Carvalho; Damian Marriott; Mark Bilinski; Ahmad Ridley 2023-08-17 Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing. (99%)Daniel Gibert; Giulio Zizzo; Quan Le AIR: Threats of Adversarial Attacks on Deep Learning-Based Information Recovery. (99%)Jinyin Chen; Jie Ge; Shilian Zheng; Linhui Ye; Haibin Zheng; Weiguo Shen; Keqiang Yue; Xiaoniu Yang A White-Box False Positive Adversarial Attack Method on Contrastive Loss-Based Offline Handwritten Signature Verification Models. (98%)Zhongliang Guo; Yifei Qian; Ognjen Arandjelović; Lei Fang Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. (16%)Ahmad-Reza Ehyaei; Kiarash Mohammadi; Amir-Hossein Karimi; Samira Samadi; Golnoosh Farnadi That Doesn't Go There: Attacks on Shared State in Multi-User Augmented Reality Applications. (10%)Carter Slocum; Yicheng Zhang; Erfan Shayegani; Pedram Zaree; Nael Abu-Ghazaleh; Jiasi Chen Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection. (10%)Zekun Li; Baolin Peng; Pengcheng He; Xifeng Yan General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. (3%)Dmitrii Korzh; Mikhail Pautov; Olga Tsymboi; Ivan Oseledets 2023-08-16 Benchmarking Adversarial Robustness of Compressed Deep Learning Models. (81%)Brijesh Vora; Kartik Patwari; Syed Mahbub Hafiz; Zubair Shafiq; Chen-Nee Chuah Test-Time Poisoning Attacks Against Test-Time Adaptation Models. (73%)Tianshuo Cong; Xinlei He; Yun Shen; Yang Zhang Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models. (67%)Zhenhua Wang; Wei Xie; Kai Chen; Baosheng Wang; Zhiwen Gui; Enze Wang Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks. (61%)Mirazul Haque; Wei Yang Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness. (33%)Francesco Campi; Lukas Gosch; Tom Wollschläger; Yan Scholten; Stephan Günnemann 2023-08-15 SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification. (99%)Raza Imam; Ibrahim Almakky; Salma Alrashdi; Baketah Alrashdi; Mohammad Yaqub Backpropagation Path Search On Adversarial Transferability. (99%)Zhuoer Xu; Zhangxuan Gu; Jianping Zhang; Shiwen Cui; Changhua Meng; Weiqiang Wang A Review of Adversarial Attacks in Computer Vision. (99%)Yutong Zhang; Yao Li; Yin Li; Zhichang Guo Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models. (95%)Yugeng Liu; Tianshuo Cong; Zhengyu Zhao; Michael Backes; Yun Shen; Yang Zhang Simple and Efficient Partial Graph Adversarial Attack: A New Perspective. (93%)Guanghui Zhu; Mengyu Chen; Chunfeng Yuan; Yihua Huang 2023-08-14 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. (99%)Yunbo Tao; Daizong Liu; Pan Zhou; Yulai Xie; Wei Du; Wei Hu White-Box Adversarial Attacks on Deep Learning-Based Radio Frequency Fingerprint Identification. (99%)Jie Ma; Junqing Zhang; Guanxiong Shen; Alan Marshall; Chip-Hong Chang AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. (99%)Ziqi Zhou; Shengshan Hu; Minghui Li; Hangtao Zhang; Yechao Zhang; Hai Jin Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. (68%)Shijie Liu; Andrew C. Cullen; Paul Montague; Sarah M. Erfani; Benjamin I. P. Rubinstein LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked. (54%)Alec Helbling; Mansi Phute; Matthew Hull; Duen Horng Chau DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks. (13%)Indu Joshi; Priyank Upadhya; Gaurav Kumar Nayak; Peter Schüffler; Nassir Navab ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion. (10%)Naufal Suryanto; Yongsu Kim; Harashta Tatimma Larasati; Hyoeun Kang; Thi-Thu-Huong Le; Yoonyoung Hong; Hunmin Yang; Se-Yoon Oh; Howon Kim SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation. (1%)An Wang; Mobarakol Islam; Mengya Xu; Yang Zhang; Hongliang Ren 2023-08-13 SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection. (99%)João Vitorino; Isabel Praça; Eva Maia Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods. (45%)Avery Ma; Yangchen Pan; Amir-massoud Farahmand A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations. (1%)Hongrong Cheng; Miao Zhang; Javen Qinfeng Shi Robustified ANNs Reveal Wormholes Between Human Category Percepts. (1%)Guy Gaziv; Michael J. Lee; James J. DiCarlo Faithful to Whom? Questioning Interpretability Measures in NLP. (1%)Evan Crothers; Herna Viktor; Nathalie Japkowicz 2023-08-12 Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks. (99%)Roman Garaev; Bader Rasheed; Adil Khan One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. (13%)Jianshuo Dong; Han Qiu; Yiming Li; Tianwei Zhang; Yuanjie Li; Zeqi Lai; Chao Zhang; Shu-Tao Xia 2023-08-11 Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation. (98%)Xuannan Liu; Yaoyao Zhong; Yuhang Zhang; Lixiong Qin; Weihong Deng Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. (98%)Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammed Shafique Face Encryption via Frequency-Restricted Identity-Agnostic Attacks. (96%)Xin Dong; Rui Wang; Siyuan Liang; Aishan Liu; Lihua Jing White-box Membership Inference Attacks against Diffusion Models. (68%)Yan Pang; Tianhao Wang; Xuhui Kang; Mengdi Huai; Yang Zhang Test-Time Adaptation for Backdoor Defense. (10%)Jiyang Guan; Jian Liang; Ran He Continual Face Forgery Detection via Historical Distribution Preserving. (2%)Ke Sun; Shen Chen; Taiping Yao; Xiaoshuai Sun; Shouhong Ding; Rongrong Ji Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance. (1%)Huiwen Xu; U Kang 2023-08-10 Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient. (99%)Zhengzhi Lu; He Wang; Ziyi Chang; Guoan Yang; Hubert P. H. Shum Symmetry Defense Against XGBoost Adversarial Perturbation Attacks. (96%)Blerta Lindqvist Complex Network Effects on the Robustness of Graph Convolutional Networks. (92%)Benjamin A. Miller; Kevin Chan; Tina Eliassi-Rad State Machine Frameworks for Website Fingerprinting Defenses: Maybe Not. (61%)Ethan Witwer FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks. (45%)Ehsanul Kabir; Zeyu Song; Md Rafi Ur Rashid; Shagufta Mehnaz Critical Points ++: An Agile Point Cloud Importance Measure for Robust Classification, Adversarial Defense and Explainable AI. (5%)Meir Yossef Levi; Guy Gilboa Comprehensive Analysis of Network Robustness Evaluation Based on Convolutional Neural Networks with Spatial Pyramid Pooling. (1%)Wenjun Jiang; Tianlong Fan; Changhao Li; Chuanfu Zhang; Tao Zhang; Zong-fu Luo 2023-08-09 Adv-Inpainting: Generating Natural and Transferable Adversarial Patch via Attention-guided Feature Fusion. (98%)Yanjie Li; Mingxing Duan; Bin Xiao Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning. (93%)Biagio Montaruli; Luca Demetrio; Andrea Valenza; Battista Biggio; Luca Compagna; Davide Balzarotti; Davide Ariu; Luca Piras Adversarial Deep Reinforcement Learning for Cyber Security in Software Defined Networks. (81%)Luke Borchjes; Clement Nyirenda; Louise Leenen Data-Free Model Extraction Attacks in the Context of Object Detection. (41%)Harshit Shah; Aravindhan G; Pavan Kulkarni; Yuvaraj Govidarajulu; Manojkumar Parmar 2023-08-08 Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning. (99%)Simon Queyrut; Yérom-David Bromberg; Valerio Schiavoni Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients. (81%)Yao Shu; Xiaoqiang Lin; Zhongxiang Dai; Bryan Kian Hsiang Low The Model Inversion Eavesdropping Attack in Semantic Communication Systems. (67%)Yuhao Chen; Qianqian Yang; Zhiguo Shi; Jiming Chen Comprehensive Assessment of the Performance of Deep Learning Classifiers Reveals a Surprising Lack of Robustness. (64%)Michael W. Spratling XGBD: Explanation-Guided Graph Backdoor Detection. (54%)Zihan Guan; Mengnan Du; Ninghao Liu Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. (50%)Hang Wang; Zhen Xiang; David J. Miller; George Kesidis Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. (15%)Haomin Zhuang; Mingxian Yu; Hao Wang; Yang Hua; Jian Li; Xu Yuan Evil Operation: Breaking Speaker Recognition with PaddingBack. (13%)Zhe Ye; Diqun Yan; Li Dong; Kailai Shen 2023-08-07 Fixed Inter-Neuron Covariability Induces Adversarial Robustness. (98%)Muhammad Ahmed Shah; Bhiksha Raj Exploring the Physical World Adversarial Robustness of Vehicle Detection. (98%)Wei Jiang; Tianyuan Zhang; Shuangcheng Liu; Weiyu Ji; Zichao Zhang; Gang Xiao PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation. (86%)Zhu Liu; Jinyuan Liu; Benzhuang Zhang; Long Ma; Xin Fan; Risheng Liu A reading survey on adversarial machine learning: Adversarial attacks and their understanding. (81%)Shashank Kotyan A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. (54%)Wei Wan; Shengshan Hu; Minghui Li; Jianrong Lu; Longling Zhang; Leo Yu Zhang; Hai Jin Improving Performance of Semi-Supervised Learning by Adversarial Attacks. (11%)Dongyoon Yang; Kunwoong Kim; Yongdai Kim Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing. (10%)Wai Man Si; Michael Backes; Yang Zhang 2023-08-06 SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. (99%)Amira Guesmi; Muhammad Abdullah Hanif; Bassem Ouni; Muhammad Shafique CGBA: Curvature-aware Geometric Black-box Attack. (99%)Md Farhamdur Reza; Ali Rahmati; Tianfu Wu; Huaiyu Dai APBench: A Unified Benchmark for Availability Poisoning Attacks and Defenses. (98%)Tianrui Qin; Xitong Gao; Juanjuan Zhao; Kejiang Ye; Cheng-Zhong Xu Unsupervised Adversarial Detection without Extra Model: Training Loss Should Change. (82%)Chien Cheng Chyou; Hung-Ting Su; Winston H. Hsu Using Overlapping Methods to Counter Adversaries in Community Detection. (50%)Benjamin A. Miller; Kevin Chan; Tina Eliassi-Rad 2023-08-05 An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability. (99%)Bin Chen; Jia-Li Yin; Shukai Chen; Bo-Hao Chen; Ximeng Liu An AI-Enabled Framework to Defend Ingenious MDT-based Attacks on the Emerging Zero Touch Cellular Networks. (92%)Aneeqa Ijaz; Waseem Raza; Hasan Farooq; Marvin Manalastas; Ali Imran A Security and Usability Analysis of Local Attacks Against FIDO2. (1%)Tarun Kumar Yadav; Kent Seamons Approximating Positive Homogeneous Functions with Scale Invariant Neural Networks. (1%)Stefan Bamberger; Reinhard Heckel; Felix Krahmer 2023-08-04 Multi-attacks: Many images $+$ the same adversarial attack $\to$ many target labels. (99%)Stanislav Fort RobustMQ: Benchmarking Robustness of Quantized Models. (75%)Yisong Xiao; Aishan Liu; Tianyuan Zhang; Haotong Qin; Jinyang Guo; Xianglong Liu Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks. (67%)Domenico Cotroneo; Cristina Improta; Pietro Liguori; Roberto Natella Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition. (31%)JiaCheng Deng; Li Dong; Jiahao Chen; Diqun Yan; Rangding Wang; Dengpan Ye; Lingchen Zhao; Jinyu Tian BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks. (9%)Marco Arazzi; Mauro Conti; Stefanos Koffas; Marina Krcek; Antonino Nocera; Stjepan Picek; Jing Xu 2023-08-03 Hard Adversarial Example Mining for Improving Robust Fairness. (99%)Chenhao Lin; Xiang Ji; Yulong Yang; Qian Li; Chao Shen; Run Wang; Liming Fang URET: Universal Robustness Evaluation Toolkit (for Evasion). (99%)Kevin Eykholt; Taesung Lee; Douglas Schales; Jiyong Jang; Ian Molloy; Masha Zorin AdvFAS: A robust face anti-spoofing framework against adversarial examples. (98%)Jiawei Chen; Xiao Yang; Heng Yin; Mingzhi Ma; Bihui Chen; Jianteng Peng; Yandong Guo; Zhaoxia Yin; Hang Su FROD: Robust Object Detection for Free. (67%)Muhammad; Awais; Weiming; Zhuang; Lingjuan; Lyu; Sung-Ho; Bae ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP. (33%)Lu Yan; Zhuo Zhang; Guanhong Tao; Kaiyuan Zhang; Xuan Chen; Guangyu Shen; Xiangyu Zhang From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application? (4%)Rodrigo Pedro; Daniel Castro; Paulo Carreira; Nuno Santos 2023-08-02 Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time. (99%)Xinfeng Li; Chen Yan; Xuancun Lu; Zihan Zeng; Xiaoyu Ji; Wenyuan Xu Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. (98%)Jun Guo; Aishan Liu; Xingyu Zheng; Siyuan Liang; Yisong Xiao; Yichao Wu; Xianglong Liu Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator. (16%)Xiaobei Yan; Xiaoxuan Lou; Guowen Xu; Han Qiu; Shangwei Guo; Chip Hong Chang; Tianwei Zhang TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis. (2%)Amin Abbasishahkoo; Mahboubeh Dadkhah; Lionel Briand; Dayi Lin LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion. (1%)Pengzhou Cheng; Lei Hua; Haobin Jiang; Mohammad Samie; Gongshen Liu 2023-08-01 Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness. (99%)Ruoxi Qin; Linyuan Wang; Xuehui Du; Xingyuan Chen; Bin Yan LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack. (99%)Hai Zhu; Zhaoqing Yang; Weiwei Shang; Yuren Wu Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. (99%)Kaijie Zhu; Jindong Wang; Xixu Hu; Xing Xie; Ge Yang Doubly Robust Instance-Reweighted Adversarial Training. (82%)Daouda Sow; Sen Lin; Zhangyang Wang; Yingbin Liang Training on Foveated Images Improves Robustness to Adversarial Attacks. (82%)Muhammad A. Shah; Bhiksha Raj Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. (47%)Pia Hanfeld; Khaled Wahba; Marina M. -C. Höhne; Michael Bussmann; Wolfgang Hönig Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms. (22%)Elvis Dohmatob; Meyer Scetbon Zero-Shot Learning by Harnessing Adversarial Samples. (1%)Zhi Chen; Pengfei Zhang; Jingjing Li; Sen Wang; Zi Huang A Novel Cross-Perturbation for Single Domain Generalization. (1%)Dongjia Zhao; Lei Qi; Xiao Shi; Yinghuan Shi; Xin Geng Learning to Generate Training Datasets for Robust Semantic Segmentation. (1%)Marwane Hariat; Olivier Laurent; Rémi Kazmierczak; Andrei Bursuc; Angela Yao; Gianni Franchi 2023-07-31 A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks. (99%)Khushnaseeb Roshan; Aasim Zafar; Shiekh Burhan Ul Haque Transferable Attack for Semantic Segmentation. (99%)Mengqi He; Jing Zhang; Zhaoyuan Yang; Mingyi He; Nick Barnes; Yuchao Dai Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models. 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Silva 2023-07-30 Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks. (99%)Ashish Hooda; Neal Mangaokar; Ryan Feng; Kassem Fawaz; Somesh Jha; Atul Prakash Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. (99%)Qiufan Ji; Lin Wang; Cong Shi; Shengshan Hu; Yingying Chen; Lichao Sun Probabilistically robust conformal prediction. (91%)Subhankar Ghosh; Yuanjie Shi; Taha Belkhouja; Yan Yan; Jana Doppa; Brian Jones On Updating Static Output Feedback Controllers Under State-Space Perturbation. (1%)MirSaleh Bahavarnia; Ahmad F. Taha 2023-07-29 You Can Backdoor Personalized Federated Learning. (92%)Tiandi Ye; Cen Chen; Yinggui Wang; Xiang Li; Ming Gao On Neural Network approximation of ideal adversarial attack and convergence of adversarial training. (92%)Rajdeep Haldar; Qifan Song Exposing Hidden Attackers in Industrial Control Systems using Micro-distortions. 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(99%)Sara Ghazanfari; Siddharth Garg; Prashanth Krishnamurthy; Farshad Khorrami; Alexandre Araujo When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-$k$ Multi-Label Learning. (99%)Yuchen Sun; Qianqian Xu; Zitai Wang; Qingming Huang Backdoor Attacks for In-Context Learning with Language Models. (97%)Nikhil Kandpal; Matthew Jagielski; Florian Tramèr; Nicholas Carlini FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks. (93%)Buse G. A. Tekgul; N. Asokan Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World. (92%)Xingxing Wei; Yao Huang; Yitong Sun; Jie Yu NSA: Naturalistic Support Artifact to Boost Network Confidence. (62%)Abhijith Sharma; Phil Munz; Apurva Narayan SEV-Step: A Single-Stepping Framework for AMD-SEV. (3%)Luca Wilke; Jan Wichelmann; Anja Rabich; Thomas Eisenbarth Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance. (1%)Savino Dambra; Yufei Han; Simone Aonzo; Platon Kotzias; Antonino Vitale; Juan Caballero; Davide Balzarotti; Leyla Bilge AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative Normalization. (1%)Chuyan Zhang; Yuncheng Yang; Hao Zheng; Yun Gu 2023-07-26 Enhanced Security against Adversarial Examples Using a Random Ensemble of Encrypted Vision Transformer Models. (99%)Ryota Iijima; Miki Tanaka; Sayaka Shiota; Hitoshi Kiya Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. (99%)Dong Lu; Zhiqiang Wang; Teng Wang; Weili Guan; Hongchang Gao; Feng Zheng Defending Adversarial Patches via Joint Region Localizing and Inpainting. (99%)Junwen Chen; Xingxing Wei Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection. (67%)Junjie Shen; Yunpeng Luo; Ziwen Wan; Qi Alfred Chen Plug and Pray: Exploiting off-the-shelf components of Multi-Modal Models. (33%)Erfan Shayegani; Yue Dong; Nael Abu-Ghazaleh Coupled-Space Attacks against Random-Walk-based Anomaly Detection. (11%)Yuni Lai; Marcin Waniek; Liying Li; Jingwen Wu; Yulin Zhu; Tomasz P. Michalak; Talal Rahwan; Kai Zhou FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training. (5%)Pu Sun; Honggang Qi; Yuezun Li; Siwei Lyu Open Image Content Disarm And Reconstruction. (1%)Eli Belkind; Ran Dubin; Amit Dvir 2023-07-25 On the unreasonable vulnerability of transformers for image restoration -- and an easy fix. (99%)Shashank Agnihotri; Kanchana Vaishnavi Gandikota; Julia Grabinski; Paramanand Chandramouli; Margret Keuper Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation. (99%)Junbin Fang; Canjian Jiang; You Jiang; Puxi Lin; Zhaojie Chen; Yujing Sun; Siu-Ming Yiu; Zoe L. Jiang Foundational Models Defining a New Era in Vision: A Survey and Outlook. (10%)Muhammad Awais; Muzammal Naseer; Salman Khan; Rao Muhammad Anwer; Hisham Cholakkal; Mubarak Shah; Ming-Hsuan Yang; Fahad Shahbaz Khan Efficient Estimation of Average-Case Robustness for Multi-Class Classification. (10%)Tessa Han; Suraj Srinivas; Himabindu Lakkaraju 2023-07-24 Why Don't You Clean Your Glasses? Perception Attacks with Dynamic Optical Perturbations. (99%)Yi Han; Matthew Chan; Eric Wengrowski; Zhuohuan Li; Nils Ole Tippenhauer; Mani Srivastava; Saman Zonouz; Luis Garcia Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation. (99%)Neel Bhandari; Pin-Yu Chen Data-free Black-box Attack based on Diffusion Model. (62%)Mingwen Shao; Lingzhuang Meng; Yuanjian Qiao; Lixu Zhang; Wangmeng Zuo Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. (56%)Zhakshylyk Nurlanov; Frank R. Schmidt; Florian Bernard An Estimator for the Sensitivity to Perturbations of Deep Neural Networks. (31%)Naman Maheshwari; Nicholas Malaya; Scott Moe; Jaydeep P. Kulkarni; Sudhanva Gurumurthi Cyber Deception against Zero-day Attacks: A Game Theoretic Approach. (12%)Md Abu University of Texas at El Paso Sayed; Ahmed H. US Army Research Laboratory Anwar; Christopher University of Texas at El Paso Kiekintveld; Branislav Czech Technical University in Prague Bosansky; Charles US Army Research Laboratory Kamhoua Malware Resistant Data Protection in Hyper-connected Networks: A survey. (10%)Jannatul Ferdous; Rafiqul Islam; Maumita Bhattacharya; Md Zahidul Islam Digital Twins for Moving Target Defense Validation in AC Microgrids. (1%)Suman Rath; Subham Sahoo; Shamik Sengupta Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case. (1%)Swastika Roy; Hatim Chergui; Christos Verikoukis Learning Provably Robust Estimators for Inverse Problems via Jittering. (1%)Anselm Krainovic; Mahdi Soltanolkotabi; Reinhard Heckel 2023-07-23 AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models. (99%)Xuelong Dai; Kaisheng Liang; Bin Xiao Towards Generic and Controllable Attacks Against Object Detection. (99%)Guopeng Li; Yue Xu; Jian Ding; Gui-Song Xia Downstream-agnostic Adversarial Examples. (99%)Ziqi Zhou; Shengshan Hu; Ruizhi Zhao; Qian Wang; Leo Yu Zhang; Junhui Hou; Hai Jin Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models. (98%)Yimu Wang; Peng Shi; Hongyang Zhang A First Look at On-device Models in iOS Apps. (84%)Han Hu; Yujin Huang; Qiuyuan Chen; Terry Tue Zhuo; Chunyang Chen Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. (83%)Gege Qi; Yuefeng Chen; Xiaofeng Mao; Xiaojun Jia; Ranjie Duan; Rong Zhang; Hui Xue Cross Contrastive Feature Perturbation for Domain Generalization. (1%)Chenming Li; Daoan Zhang; Wenjian Huang; Jianguo Zhang 2023-07-22 Backdoor Attacks against Voice Recognition Systems: A Survey. (13%)Baochen Yan; Jiahe Lan; Zheng Yan 2023-07-21 Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks. (99%)Eldor Abdukhamidov; Mohammed Abuhamad; Simon S. Woo; Eric Chan-Tin; Tamer Abuhmed Fast Adaptive Test-Time Defense with Robust Features. (98%)Anurag Singh; Mahalakshmi Sabanayagam; Krikamol Muandet; Debarghya Ghoshdastidar Improving Viewpoint Robustness for Visual Recognition via Adversarial Training. (80%)Shouwei Ruan; Yinpeng Dong; Hang Su; Jianteng Peng; Ning Chen; Xingxing Wei FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks. (76%)Dong Huang; Qingwen Bu; Yahao Qing; Yichao Fu; Heming Cui OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples. (62%)Ryuto Koike; Masahiro Kaneko; Naoaki Okazaki HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness. (26%)Mehmet Kerim Yucel; Ramazan Gokberk Cinbis; Pinar Duygulu 2023-07-20 A LLM Assisted Exploitation of AI-Guardian. (98%)Nicholas Carlini Improving Transferability of Adversarial Examples via Bayesian Attacks. (98%)Qizhang Li; Yiwen Guo; Xiaochen Yang; Wangmeng Zuo; Hao Chen Adversarial attacks for mixtures of classifiers. (54%)Lucas Gnecco Heredia; Benjamin Negrevergne; Yann Chevaleyre PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. (33%)Shiwei Ding; Lan Zhang; Miao Pan; Xiaoyong Yuan A Holistic Assessment of the Reliability of Machine Learning Systems. (4%)Anthony Corso; David Karamadian; Romeo Valentin; Mary Cooper; Mykel J. Kochenderfer Making Pre-trained Language Models both Task-solvers and Self-calibrators. (2%)Yangyi Chen; Xingyao Wang; Heng Ji Boundary State Generation for Testing and Improvement of Autonomous Driving Systems. (1%)Matteo Biagiola; Paolo Tonella 2023-07-19 Backdoor Attack against Object Detection with Clean Annotation. (93%)Yize Cheng; Wenbin Hu; Minhao Cheng Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. (92%)Shaokui Wei; Mingda Zhang; Hongyuan Zha; Baoyuan Wu Rethinking Backdoor Attacks. (83%)Alaa Khaddaj; Guillaume Leclerc; Aleksandar Makelov; Kristian Georgiev; Hadi Salman; Andrew Ilyas; Aleksander Madry Towards Building More Robust Models with Frequency Bias. (81%)Qingwen Bu; Dong Huang; Heming Cui Reinforcing POD based model reduction techniques in reaction-diffusion complex networks using stochastic filtering and pattern recognition. (26%)Abhishek Ajayakumar; Soumyendu Raha 2023-07-18 CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space. (67%)Haibin Zheng; Jinyin Chen; Haibo Jin FedDefender: Client-Side Attack-Tolerant Federated Learning. (50%)Sungwon Park; Sungwon Han; Fangzhao Wu; Sundong Kim; Bin Zhu; Xing Xie; Meeyoung Cha Can Neural Network Memorization Be Localized? (4%)Pratyush Maini; Michael C. Mozer; Hanie Sedghi; Zachary C. Lipton; J. Zico Kolter; Chiyuan Zhang 2023-07-17 Analyzing the Impact of Adversarial Examples on Explainable Machine Learning. (99%)Prathyusha Devabhakthini; Sasmita Parida; Raj Mani Shukla; Suvendu Chandan Nayak Adversarial Attacks on Traffic Sign Recognition: A Survey. (98%)Svetlana Pavlitska; Nico Lambing; J. Marius Zöllner Discretization-based ensemble model for robust learning in IoT. (87%)Anahita Namvar; Chandra Thapa; Salil S. Kanhere Unstoppable Attack: Label-Only Model Inversion via Conditional Diffusion Model. (83%)Rongke Liu Experimental Security Analysis of DNN-based Adaptive Cruise Control under Context-Aware Perception Attacks. (11%)Xugui Zhou; Anqi Chen; Maxfield Kouzel; Haotian Ren; Morgan McCarty; Cristina Nita-Rotaru; Homa Alemzadeh On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization. (2%)Akshay Mehra; Yunbei Zhang; Bhavya Kailkhura; Jihun Hamm A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks. (1%)Umara Noor; Sawera Shahid; Rimsha Kanwal; Zahid Rashid 2023-07-16 Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. 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(96%)Jiahao Xie; Chao Zhang; Weijie Liu; Wensong Bai; Hui Qian Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. (13%)Mingli Zhu; Shaokui Wei; Hongyuan Zha; Baoyuan Wu NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes. (1%)Hao-Lun Sun; Lei Hsiung; Nandhini Chandramoorthy; Pin-Yu Chen; Tsung-Yi Ho 2023-06-28 Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation. (99%)Shiji Zhao; Xizhe Wang; Xingxing Wei Boosting Adversarial Transferability with Learnable Patch-wise Masks. (99%)Xingxing Wei; Shiji Zhao Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack. (99%)Jie Ning; Yao Li; Zhichang Guo Group-based Robustness: A General Framework for Customized Robustness in the Real World. (98%)Weiran Lin; Keane Lucas; Neo Eyal; Lujo Bauer; Michael K. 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Chang 2023-06-26 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection. (99%)Songyang Gao; Shihan Dou; Qi Zhang; Xuanjing Huang; Jin Ma; Ying Shan Are aligned neural networks adversarially aligned? (99%)Nicholas Carlini; Milad Nasr; Christopher A. Choquette-Choo; Matthew Jagielski; Irena Gao; Anas Awadalla; Pang Wei Koh; Daphne Ippolito; Katherine Lee; Florian Tramer; Ludwig Schmidt The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security. (92%)Harriet Farlow; Matthew Garratt; Gavin Mount; Tim Lynar 3D-Aware Adversarial Makeup Generation for Facial Privacy Protection. (92%)Yueming Lyu; Yue Jiang; Ziwen He; Bo Peng; Yunfan Liu; Jing Dong Towards Sybil Resilience in Decentralized Learning. (80%)Thomas Werthenbach; Johan Pouwelse On the Resilience of Machine Learning-Based IDS for Automotive Networks. 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(45%)Zhiyi Xue; Si Liu; Zhaodi Zhang; Yiting Wu; Min Zhang Adversarial Attacks on Online Learning to Rank with Click Feedback. (38%)Jinhang Zuo; Zhiyao Zhang; Zhiyong Wang; Shuai Li; Mohammad Hajiesmaili; Adam Wierman DeepSeaNet: Improving Underwater Object Detection using EfficientDet. (2%)Sanyam Jain Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles. (1%)H M Sabbir Ahmad; Ehsan Sabouni; Wei Xiao; Christos G. Cassandras; Wenchao Li Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model. (1%)Zhijie Deng; Hongcheng Gao; Yibo Miao; Hao Zhang 2023-05-25 IDEA: Invariant Causal Defense for Graph Adversarial Robustness. (99%)Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Bingbing Xu; Xueqi Cheng Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text. (98%)Ashim Gupta; Carter Wood Blum; Temma Choji; Yingjie Fei; Shalin Shah; Alakananda Vempala; Vivek Srikumar Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. (98%)Haotian Xue; Alexandre Araujo; Bin Hu; Yongxin Chen PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation. (96%)Xianghao Jiao; Yaohua Liu; Jiaxin Gao; Xinyuan Chu; Risheng Liu; Xin Fan Adversarial Attacks on Leakage Detectors in Water Distribution Networks. (86%)Paul Stahlhofen; André Artelt; Luca Hermes; Barbara Hammer CARSO: Counter-Adversarial Recall of Synthetic Observations. (86%)Emanuele Ballarin; Alessio Ansuini; Luca Bortolussi On the Robustness of Segment Anything. (73%)Yihao Huang; Yue Cao; Tianlin Li; Felix Juefei-Xu; Di Lin; Ivor W. Tsang; Yang Liu; Qing Guo Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score. (67%)Shuhai Zhang; Feng Liu; Jiahao Yang; Yifan Yang; Changsheng Li; Bo Han; Mingkui Tan Rethink Diversity in Deep Learning Testing. (50%)Zi Wang; Jihye Choi; Somesh Jha IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks. (13%)Xuanli He; Jun Wang; Benjamin Rubinstein; Trevor Cohn Securing Deep Generative Models with Universal Adversarial Signature. (2%)Yu Zeng; Mo Zhou; Yuan Xue; Vishal M. Patel Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. (1%)Jinyung Hong; Keun Hee Park; Theodore P. Pavlic 2023-05-24 How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks. (99%)Salijona Dyrmishi; Salah Ghamizi; Maxime Cordy Robust Classification via a Single Diffusion Model. (99%)Huanran Chen; Yinpeng Dong; Zhengyi Wang; Xiao Yang; Chengqi Duan; Hang Su; Jun Zhu Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup. (99%)Junyoung Byun; Myung-Joon Kwon; Seungju Cho; Yoonji Kim; Changick Kim Fantastic DNN Classifiers and How to Identify them without Data. (91%)Nathaniel Dean; Dilip Sarkar Adversarial Demonstration Attacks on Large Language Models. (88%)Jiongxiao Wang; Zichen Liu; Keun Hee Park; Muhao Chen; Chaowei Xiao Relating Implicit Bias and Adversarial Attacks through Intrinsic Dimension. (86%)Lorenzo Basile; Nikos Karantzas; Alberto D'Onofrio; Luca Bortolussi; Alex Rodriguez; Fabio Anselmi AdvFunMatch: When Consistent Teaching Meets Adversarial Robustness. (76%)Ziuhi Wu; Haichang Gao; Bingqian Zhou; Ping Wang Reconstructive Neuron Pruning for Backdoor Defense. (75%)Yige Li; Xixiang Lyu; Xingjun Ma; Nodens Koren; Lingjuan Lyu; Bo Li; Yu-Gang Jiang Another Dead End for Morphological Tags? 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(81%)Christopher Burger; Lingwei Chen; Thai Le FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. (1%)Muhammad Abdullah Hanif; Muhammad Shafique 2023-05-20 Dynamic Transformers Provide a False Sense of Efficiency. (92%)Yiming Chen; Simin Chen; Zexin Li; Wei Yang; Cong Liu; Robby T. Tan; Haizhou Li Annealing Self-Distillation Rectification Improves Adversarial Training. (76%)Yu-Yu Wu; Hung-Jui Wang; Shang-Tse Chen Stability, Generalization and Privacy: Precise Analysis for Random and NTK Features. (8%)Simone Bombari; Marco Mondelli 2023-05-19 Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models. (98%)Lijun Zhang; Xiao Liu; Kaleel Mahmood; Caiwen Ding; Hui Guan DAP: A Dynamic Adversarial Patch for Evading Person Detectors. (92%)Amira Guesmi; Ruitian Ding; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. (8%)Xuanli He; Qiongkai Xu; Jun Wang; Benjamin Rubinstein; Trevor Cohn Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. (5%)Mengke Li; Yiu-ming Cheung; Yang Lu SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters. (4%)Yuchen Yang; Bo Hui; Haolin Yuan; Neil Gong; Yinzhi Cao Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. (2%)Yisong Xiao; Aishan Liu; Tianlin Li; Xianglong Liu Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. (1%)Mustafa Safa Ozdayi; Charith Peris; Jack FitzGerald; Christophe Dupuy; Jimit Majmudar; Haidar Khan; Rahil Parikh; Rahul Gupta 2023-05-18 Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation. (99%)Soumyadeep Hore; Jalal Ghadermazi; Diwas Paudel; Ankit Shah; Tapas K. Das; Nathaniel D. 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(54%)Riccardo Giuseppe Margiotta; Sebastian Goldt; Guido Sanguinetti Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture. (47%)Galen Pogoncheff; Jacob Granley; Michael Beyeler Zero-Day Backdoor Attack against Text-to-Image Diffusion Models via Personalization. (2%)Yihao Huang; Qing Guo; Felix Juefei-Xu Large Language Models can be Guided to Evade AI-Generated Text Detection. (1%)Ning Lu; Shengcai Liu; Rui He; Ke Tang Re-thinking Data Availablity Attacks Against Deep Neural Networks. (1%)Bin Fang; Bo Li; Shuang Wu; Ran Yi; Shouhong Ding; Lizhuang Ma TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition. (1%)Tiantian Feng; Rajat Hebbar; Shrikanth Narayanan 2023-05-17 Content-based Unrestricted Adversarial Attack. (99%)Zhaoyu Chen; Bo Li; Shuang Wu; Kaixun Jiang; Shouhong Ding; Wenqiang Zhang Raising the Bar for Certified Adversarial Robustness with Diffusion Models. (95%)Thomas Altstidl; David Dobre; Björn Eskofier; Gauthier Gidel; Leo Schwinn The Adversarial Consistency of Surrogate Risks for Binary Classification. (10%)Natalie Frank; Jonathan Niles-Weed Variational Classification. (1%)Shehzaad Dhuliawala; Mrinmaya Sachan; Carl Allen Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. (1%)Zhaozhuo Xu; Zirui Liu; Beidi Chen; Yuxin Tang; Jue Wang; Kaixiong Zhou; Xia Hu; Anshumali Shrivastava PaLM 2 Technical Report. (1%)Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; Laurent El Shafey; Yanping Huang; Kathy Meier-Hellstern; Gaurav Mishra; Erica Moreira; Mark Omernick; Kevin Robinson; Sebastian Ruder; Yi Tay; Kefan Xiao; Yuanzhong Xu; Yujing Zhang; Gustavo Hernandez Abrego; Junwhan Ahn; Jacob Austin; Paul Barham; Jan Botha; James Bradbury; Siddhartha Brahma; Kevin Brooks; Michele Catasta; Yong Cheng; Colin Cherry; Christopher A. Choquette-Choo; Aakanksha Chowdhery; Clément Crepy; Shachi Dave; Mostafa Dehghani; Sunipa Dev; Jacob Devlin; Mark Díaz; Nan Du; Ethan Dyer; Vlad Feinberg; Fangxiaoyu Feng; Vlad Fienber; Markus Freitag; Xavier Garcia; Sebastian Gehrmann; Lucas Gonzalez; Guy Gur-Ari; Steven Hand; Hadi Hashemi; Le Hou; Joshua Howland; Andrea Hu; Jeffrey Hui; Jeremy Hurwitz; Michael Isard; Abe Ittycheriah; Matthew Jagielski; Wenhao Jia; Kathleen Kenealy; Maxim Krikun; Sneha Kudugunta; Chang Lan; Katherine Lee; Benjamin Lee; Eric Li; Music Li; Wei Li; YaGuang Li; Jian Li; Hyeontaek Lim; Hanzhao Lin; Zhongtao Liu; Frederick Liu; Marcello Maggioni; Aroma Mahendru; Joshua Maynez; Vedant Misra; Maysam Moussalem; Zachary Nado; John Nham; Eric Ni; Andrew Nystrom; Alicia Parrish; Marie Pellat; Martin Polacek; Alex Polozov; Reiner Pope; Siyuan Qiao; Emily Reif; Bryan Richter; Parker Riley; Alex Castro Ros; Aurko Roy; Brennan Saeta; Rajkumar Samuel; Renee Shelby; Ambrose Slone; Daniel Smilkov; David R. So; Daniel Sohn; Simon Tokumine; Dasha Valter; Vijay Vasudevan; Kiran Vodrahalli; Xuezhi Wang; Pidong Wang; Zirui Wang; Tao Wang; John Wieting; Yuhuai Wu; Kelvin Xu; Yunhan Xu; Linting Xue; Pengcheng Yin; Jiahui Yu; Qiao Zhang; Steven Zheng; Ce Zheng; Weikang Zhou; Denny Zhou; Slav Petrov; Yonghui Wu 2023-05-16 Iterative Adversarial Attack on Image-guided Story Ending Generation. (99%)Youze Wang; Wenbo Hu; Richang Hong Releasing Inequality Phenomena in $L_{\infty}$-Adversarial Training via Input Gradient Distillation. (98%)Junxi Chen; Junhao Dong; Xiaohua Xie Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks. (54%)Vishal Purohit Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples. (50%)Wan Jiang; Yunfeng Diao; He Wang; Jianxin Sun; Meng Wang; Richang Hong 2023-05-15 Attacking Perceptual Similarity Metrics. (99%)Abhijay Ghildyal; Feng Liu Exploiting Frequency Spectrum of Adversarial Images for General Robustness. (96%)Chun Yang Tan; Kazuhiko Kawamoto; Hiroshi Kera Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method. (4%)Jinyang Jiang; Zeliang Zhang; Chenliang Xu; Zhaofei Yu; Yijie Peng Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility. (1%)Wentao Ye; Mingfeng Ou; Tianyi Li; Yipeng chen; Xuetao Ma; Yifan Yanggong; Sai Wu; Jie Fu; Gang Chen; Haobo Wang; Junbo Zhao 2023-05-14 Diffusion Models for Imperceptible and Transferable Adversarial Attack. (99%)Jianqi Chen; Hao Chen; Keyan Chen; Yilan Zhang; Zhengxia Zou; Zhenwei Shi Improving Defensive Distillation using Teacher Assistant. (96%)Maniratnam Mandal; Suna Gao Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures. (82%)Wei Yuan; Shilong Yuan; Chaoqun Yang; Quoc Viet Hung Nguyen; Hongzhi Yin Watermarking Text Generated by Black-Box Language Models. (9%)Xi Yang; Kejiang Chen; Weiming Zhang; Chang Liu; Yuang Qi; Jie Zhang; Han Fang; Nenghai Yu 2023-05-13 DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack. (86%)Ranyang Zhou; Sabbir Ahmed; Adnan Siraj Rakin; Shaahin Angizi On enhancing the robustness of Vision Transformers: Defensive Diffusion. (76%)Raza Imam; Muhammad Huzaifa; Mohammed El-Amine Azz Decision-based iterative fragile watermarking for model integrity verification. (50%)Zhaoxia Yin; Heng Yin; Hang Su; Xinpeng Zhang; Zhenzhe Gao 2023-05-12 Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation. (73%)Jialiang Sun; Wen Yao; Tingsong Jiang; Xiaoqian Chen Adversarial Security and Differential Privacy in mmWave Beam Prediction in 6G networks. (68%)Ghanta Sai Krishna; Kundrapu Supriya; Sanskar Singh; Sabur Baidya Mastering Percolation-like Games with Deep Learning. (1%)Michael M. Danziger; Omkar R. Gojala; Sean P. Cornelius 2023-05-11 Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. (74%)Jenny Schmalfuss; Lukas Mehl; Andrés Bruhn Backdoor Attack with Sparse and Invisible Trigger. (67%)Yinghua Gao; Yiming Li; Xueluan Gong; Shu-Tao Xia; Qian Wang Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting. (1%)Joshua Smailes; Sebastian Kohler; Simon Birnbach; Martin Strohmeier; Ivan Martinovic 2023-05-10 A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. (99%)Jie Zhang; Wei Ma; Qiang Hu; Shangqing Liu; Xiaofei Xie; Yves Le Traon; Yang Liu Inter-frame Accelerate Attack against Video Interpolation Models. (99%)Junpei Liao; Zhikai Chen; Liang Yi; Wenyuan Yang; Baoyuan Wu; Xiaochun Cao Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications. (98%)Han Cheol Moon; Shafiq Joty; Ruochen Zhao; Megh Thakkar; Xu Chi Stealthy Low-frequency Backdoor Attack against Deep Neural Networks. (80%)Xinrui Liu; Yu-an Tan; Yajie Wang; Kefan Qiu; Yuanzhang Li Towards Invisible Backdoor Attacks in the Frequency Domain against Deep Neural Networks. (75%)Xinrui Liu; Yajie Wang; Yu-an Tan; Kefan Qiu; Yuanzhang Li The Robustness of Computer Vision Models against Common Corruptions: a Survey. (50%)Shunxin Wang; Raymond Veldhuis; Nicola Strisciuglio An Empirical Study on the Robustness of the Segment Anything Model (SAM). (22%)Yuqing Wang; Yun Zhao; Linda Petzold Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. (12%)Lei Yuan; Zi-Qian Zhang; Ke Xue; Hao Yin; Feng Chen; Cong Guan; Li-He Li; Chao Qian; Yang Yu 2023-05-09 Quantization Aware Attack: Enhancing the Transferability of Adversarial Attacks across Target Models with Different Quantization Bitwidths. (99%)Yulong Yang; Chenhao Lin; Qian Li; Chao Shen; Dawei Zhou; Nannan Wang; Tongliang Liu Attack Named Entity Recognition by Entity Boundary Interference. (98%)Yifei Yang; Hongqiu Wu; Hai Zhao VSMask: Defending Against Voice Synthesis Attack via Real-Time Predictive Perturbation. (96%)Yuanda Wang; Hanqing Guo; Guangjing Wang; Bocheng Chen; Qiben Yan Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions. (75%)Georg Siedel; Weijia Shao; Silvia Vock; Andrey Morozov On the Relation between Sharpness-Aware Minimization and Adversarial Robustness. (56%)Zeming Wei; Jingyu Zhu; Yihao Zhang Turning Privacy-preserving Mechanisms against Federated Learning. (9%)Marco Arazzi; Mauro Conti; Antonino Nocera; Stjepan Picek BadCS: A Backdoor Attack Framework for Code search. (8%)Shiyi Qi; Yuanhang Yang; Shuzhzeng Gao; Cuiyun Gao; Zenglin Xu Quantum Machine Learning for Malware Classification. (1%)Grégoire Barrué; Tony Quertier 2023-05-08 Toward Adversarial Training on Contextualized Language Representation. (93%)Hongqiu Wu; Yongxiang Liu; Hanwen Shi; Hai Zhao; Min Zhang Understanding Noise-Augmented Training for Randomized Smoothing. (64%)Ambar Pal; Jeremias Sulam TAPS: Connecting Certified and Adversarial Training. (41%)Yuhao Mao; Mark Niklas Müller; Marc Fischer; Martin Vechev Privacy-preserving Adversarial Facial Features. (22%)Zhibo Wang; He Wang; Shuaifan Jin; Wenwen Zhang; Jiahui Hu; Yan Wang; Peng Sun; Wei Yuan; Kaixin Liu; Kui Ren Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation. (1%)Lei Yuan; Feng Chen; Zhongzhang Zhang; Yang Yu 2023-05-07 Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization. (99%)Zhaoxia Yin; Shaowei Zhu; Hang Su; Jianteng Peng; Wanli Lyu; Bin Luo Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks against Deep Image Classification. (93%)Nils Lukas; Florian Kerschbaum 2023-05-06 Reactive Perturbation Defocusing for Textual Adversarial Defense. (99%)Heng Yang; Ke Li Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps. (92%)Ye Sang; Yujin Huang; Shuo Huang; Helei Cui Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework. (38%)Ruijia Wu; Yuhang Wang; Huafeng Shi; Zhipeng Yu; Yichao Wu; Ding Liang Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. (2%)Shengfang Zhai; Yinpeng Dong; Qingni Shen; Shi Pu; Yuejian Fang; Hang Su 2023-05-05 White-Box Multi-Objective Adversarial Attack on Dialogue Generation. (99%)Yufei Li; Zexin Li; Yingfan Gao; Cong Liu Evading Watermark based Detection of AI-Generated Content. (87%)Zhengyuan Jiang; Jinghuai Zhang; Neil Zhenqiang Gong Verifiable Learning for Robust Tree Ensembles. (15%)Stefano Calzavara; Lorenzo Cazzaro; Giulio Ermanno Pibiri; Nicola Prezza Repairing Deep Neural Networks Based on Behavior Imitation. (4%)Zhen Liang; Taoran Wu; Changyuan Zhao; Wanwei Liu; Bai Xue; Wenjing Yang; Ji Wang 2023-05-04 Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection. (99%)Nils Loose; Felix Mächtle; Claudius Pott; Volodymyr Bezsmertnyi; Thomas Eisenbarth IMAP: Intrinsically Motivated Adversarial Policy. (99%)Xiang Zheng; Xingjun Ma; Shengjie Wang; Xinyu Wang; Chao Shen; Cong Wang Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning. (78%)Dayuan Chen; Jian Zhang; Yuqian Lv; Jinhuan Wang; Hongjie Ni; Shanqing Yu; Zhen Wang; Qi Xuan Faulting original McEliece's implementations is possible: How to mitigate this risk? (2%)Vincent Giraud; Guillaume Bouffard 2023-05-03 New Adversarial Image Detection Based on Sentiment Analysis. (99%)Yulong Wang; Tianxiang Li; Shenghong Li; Xin Yuan; Wei Ni LearnDefend: Learning to Defend against Targeted Model-Poisoning Attacks on Federated Learning. (84%)Kiran Purohit; Soumi Das; Sourangshu Bhattacharya; Santu Rana Defending against Insertion-based Textual Backdoor Attacks via Attribution. (61%)Jiazhao Li; Zhuofeng Wu; Wei Ping; Chaowei Xiao; V. G. Vinod Vydiswaran On the Security Risks of Knowledge Graph Reasoning. (26%)Zhaohan Xi; Tianyu Du; Changjiang Li; Ren Pang; Shouling Ji; Xiapu Luo; Xusheng Xiao; Fenglong Ma; Ting Wang Backdoor Learning on Sequence to Sequence Models. (5%)Lichang Chen; Minhao Cheng; Heng Huang Rethinking Graph Lottery Tickets: Graph Sparsity Matters. (2%)Bo Hui; Da Yan; Xiaolong Ma; Wei-Shinn Ku PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. (1%)Lichang Chen; Heng Huang; Minhao Cheng 2023-05-02 Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature. (99%)Juanjuan Weng; Zhiming Luo; Dazhen Lin; Shaozi Li; Zhun Zhong DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning. (73%)Wenqiang Sun; Sen Li; Yuchang Sun; Jun Zhang Towards Imperceptible Document Manipulations against Neural Ranking Models. (67%)Xuanang Chen; Ben He; Zheng Ye; Le Sun; Yingfei Sun Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems. (50%)Vyas Raina; Mark Gales Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. (8%)Shuai Zhao; Jinming Wen; Luu Anh Tuan; Junbo Zhao; Jie Fu 2023-05-01 Attack-SAM: Towards Evaluating Adversarial Robustness of Segment Anything Model. (99%)Chenshuang Zhang; Chaoning Zhang; Taegoo Kang; Donghun Kim; Sung-Ho Bae; In So Kweon Physical Adversarial Attacks for Surveillance: A Survey. (98%)Kien Nguyen; Tharindu Fernando; Clinton Fookes; Sridha Sridharan Revisiting Robustness in Graph Machine Learning. (98%)Lukas Gosch; Daniel Sturm; Simon Geisler; Stephan Günnemann Stratified Adversarial Robustness with Rejection. (96%)Jiefeng Chen; Jayaram Raghuram; Jihye Choi; Xi Wu; Yingyu Liang; Somesh Jha Poisoning Language Models During Instruction Tuning. (2%)Alexander Wan; Eric Wallace; Sheng Shen; Dan Klein 2023-04-30 Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks. (98%)Jingfeng Zhang; Bo Song; Bo Han; Lei Liu; Gang Niu; Masashi Sugiyama 2023-04-29 FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. (81%)Thuy Dung Nguyen; Anh Duy Nguyen; Kok-Seng Wong; Huy Hieu Pham; Thanh Hung Nguyen; Phi Le Nguyen; Truong Thao Nguyen Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. (33%)Xilie Xu; Jingfeng Zhang; Feng Liu; Masashi Sugiyama; Mohan Kankanhalli Adversarial Representation Learning for Robust Privacy Preservation in Audio. (1%)Shayan Gharib; Minh Tran; Diep Luong; Konstantinos Drossos; Tuomas Virtanen 2023-04-28 Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. (99%)Yu-An Liu; Ruqing Zhang; Jiafeng Guo; Rijke Maarten de; Wei Chen; Yixing Fan; Xueqi Cheng On the existence of solutions to adversarial training in multiclass classification. (75%)Nicolas Garcia Trillos; Matt Jacobs; Jakwang Kim The Power of Typed Affine Decision Structures: A Case Study. (3%)Gerrit Nolte; Maximilian Schlüter; Alnis Murtovi; Bernhard Steffen faulTPM: Exposing AMD fTPMs' Deepest Secrets. (3%)Hans Niklas Jacob; Christian Werling; Robert Buhren; Jean-Pierre Seifert SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective. (1%)An Wang; Mobarakol Islam; Mengya Xu; Yang Zhang; Hongliang Ren 2023-04-27 Adversary Aware Continual Learning. (80%)Muhammad Umer; Robi Polikar Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. (75%)Zhiyuan Cheng; Hongjun Choi; James Liang; Shiwei Feng; Guanhong Tao; Dongfang Liu; Michael Zuzak; Xiangyu Zhang Boosting Big Brother: Attacking Search Engines with Encodings. (68%)Nicholas Boucher; Luca Pajola; Ilia Shumailov; Ross Anderson; Mauro Conti ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. (62%)Jiazhao Li; Yijin Yang; Zhuofeng Wu; V. G. Vinod Vydiswaran; Chaowei Xiao Improve Video Representation with Temporal Adversarial Augmentation. (26%)Jinhao Duan; Quanfu Fan; Hao Cheng; Xiaoshuang Shi; Kaidi Xu Origin Tracing and Detecting of LLMs. (1%)Linyang Li; Pengyu Wang; Ke Ren; Tianxiang Sun; Xipeng Qiu Deep Intellectual Property Protection: A Survey. (1%)Yuchen Sun; Tianpeng Liu; Panhe Hu; Qing Liao; Shaojing Fu; Nenghai Yu; Deke Guo; Yongxiang Liu; Li Liu Interactive Greybox Penetration Testing for Cloud Access Control using IAM Modeling and Deep Reinforcement Learning. (1%)Yang Hu; Wenxi Wang; Sarfraz Khurshid; Mohit Tiwari 2023-04-26 Improving Adversarial Transferability via Intermediate-level Perturbation Decay. (98%)Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen Detection of Adversarial Physical Attacks in Time-Series Image Data. (92%)Ramneet Kaur; Yiannis Kantaros; Wenwen Si; James Weimer; Insup Lee Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems. (13%)Aditya Pribadi Kalapaaking; Ibrahim Khalil; Xun Yi 2023-04-25 Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks. (99%)Ferheen Ayaz; Idris Zakariyya; José Cano; Sye Loong Keoh; Jeremy Singer; Danilo Pau; Mounia Kharbouche-Harrari Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. (99%)Anh Bui; Trung Le; He Zhao; Quan Tran; Paul Montague; Dinh Phung SHIELD: Thwarting Code Authorship Attribution. (98%)Mohammed Abuhamad; Changhun Jung; David Mohaisen; DaeHun Nyang Learning Robust Deep Equilibrium Models. (82%)Haoyu Chu; Shikui Wei; Ting Liu; Yao Zhao LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid. 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(96%)Yunruo Zhang; Tianyu Du; Shouling Ji; Peng Tang; Shanqing Guo JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images. (15%)Natalia Valderrama; Ioannis Pitsiorlas; Luisa Vargas; Pablo Arbeláez; Maria A. Zuluaga 2023-04-14 Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense. (99%)Jingyuan Wang; Yufan Wu; Mingxuan Li; Xin Lin; Junjie Wu; Chao Li Combining Generators of Adversarial Malware Examples to Increase Evasion Rate. (99%)Matouš Kozák; Martin Jureček Cross-Entropy Loss Functions: Theoretical Analysis and Applications. (3%)Anqi Mao; Mehryar Mohri; Yutao Zhong Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice. (2%)Andrea Gadotti; Florimond Houssiau; Meenatchi Sundaram Muthu Selva Annamalai; Montjoye Yves-Alexandre de 2023-04-13 Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model. 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(45%)Yuke Hu; Wei Liang; Ruofan Wu; Kai Xiao; Weiqiang Wang; Xiaochen Li; Jinfei Liu; Zhan Qin Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures. (45%)Wei Yuan; Quoc Viet Hung Nguyen; Tieke He; Liang Chen; Hongzhi Yin Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions. (10%)Jia-Hong Huang; Modar Alfadly; Bernard Ghanem; Marcel Worring EZClone: Improving DNN Model Extraction Attack via Shape Distillation from GPU Execution Profiles. (4%)Jonah O'Brien Weiss; Tiago Alves; Sandip Kundu Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming. (2%)Clemencia Siro; Tunde Oluwaseyi Ajayi Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning. (1%)Jae-Hun Lee; Doyoung Yoon; ByeongMoon Ji; Kyungyul Kim; Sangheum Hwang Reliable Learning for Test-time Attacks and Distribution Shift. (1%)Maria-Florina Balcan; Steve Hanneke; Rattana Pukdee; Dravyansh Sharma Benchmarking Robustness to Text-Guided Corruptions. (1%)Mohammadreza Mofayezi; Yasamin Medghalchi 2023-04-05 A Certified Radius-Guided Attack Framework to Image Segmentation Models. (99%)Wenjie Qu; Youqi Li; Binghui Wang Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability. (99%)Martin Gubri; Maxime Cordy; Yves Le Traon How to choose your best allies for a transferable attack? (99%)Thibault Maho; Seyed-Mohsen Moosavi-Dezfooli; Teddy Furon Robust Neural Architecture Search. (92%)Xunyu Zhu; Jian Li; Yong Liu; Weiping Wang Hyper-parameter Tuning for Adversarially Robust Models. (62%)Pedro Mendes; Paolo Romano; David Garlan JPEG Compressed Images Can Bypass Protections Against AI Editing. (15%)Pedro Sandoval-Segura; Jonas Geiping; Tom Goldstein FACE-AUDITOR: Data Auditing in Facial Recognition Systems. (1%)Min Chen; Zhikun Zhang; Tianhao Wang; Michael Backes; Yang Zhang 2023-04-04 CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks. (31%)Vineel Nagisetty; Laura Graves; Guanting Pan; Piyush Jha; Vijay Ganesh Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. (1%)Jiawei Shao; Fangzhao Wu; Jun Zhang EGC: Image Generation and Classification via a Single Energy-Based Model. (1%)Qiushan Guo; Chuofan Ma; Yi Jiang; Zehuan Yuan; Yizhou Yu; Ping Luo 2023-04-03 Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. (76%)Ajinkya Tejankar; Maziar Sanjabi; Qifan Wang; Sinong Wang; Hamed Firooz; Hamed Pirsiavash; Liang Tan Model-Agnostic Reachability Analysis on Deep Neural Networks. (75%)Chi Zhang; Wenjie Ruan; Fu Wang; Peipei Xu; Geyong Min; Xiaowei Huang NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. (69%)Jung-Woo Chang; Nojan Sheybani; Shehzeen Samarah Hussain; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar Learning About Simulated Adversaries from Human Defenders using Interactive Cyber-Defense Games. (1%)Baptiste Prebot; Yinuo Du; Cleotilde Gonzalez 2023-04-01 GradMDM: Adversarial Attack on Dynamic Networks. (84%)Jianhong Pan; Lin Geng Foo; Qichen Zheng; Zhipeng Fan; Hossein Rahmani; Qiuhong Ke; Jun Liu Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space. (61%)Yuwei Sun; Hideya Ochiai; Jun Sakuma 2023-03-31 Improving Fast Adversarial Training with Prior-Guided Knowledge. (99%)Xiaojun Jia; Yong Zhang; Xingxing Wei; Baoyuan Wu; Ke Ma; Jue Wang; Xiaochun Sr Cao To be Robust and to be Fair: Aligning Fairness with Robustness. (93%)Junyi Chai; Xiaoqian Wang Fooling Polarization-based Vision using Locally Controllable Polarizing Projection. (91%)Zhuoxiao Li; Zhihang Zhong; Shohei Nobuhara; Ko Nishino; Yinqiang Zheng Per-Example Gradient Regularization Improves Learning Signals from Noisy Data. (3%)Xuran Meng; Yuan Cao; Difan Zou Secure Federated Learning against Model Poisoning Attacks via Client Filtering. (2%)Duygu Nur Yaldiz; Tuo Zhang; Salman Avestimehr DIME-FM: DIstilling Multimodal and Efficient Foundation Models. (1%)Ximeng Sun; Pengchuan Zhang; Peizhao Zhang; Hardik Shah; Kate Saenko; Xide Xia A Generative Framework for Low-Cost Result Validation of Outsourced Machine Learning Tasks. (1%)Abhinav Kumar; Miguel A. Guirao Aguilera; Reza Tourani; Satyajayant Misra 2023-03-30 Adversarial Attack and Defense for Dehazing Networks. (97%)Jie Gui; Xiaofeng Cong; Chengwei Peng; Yuan Yan Tang; James Tin-Yau Kwok Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial Robustness. (96%)Timothy Redgrave; Colton Crum Towards Adversarially Robust Continual Learning. 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(1%)Marco Venturini; Francesco Freda; Emanuele Miotto; Alberto Giaretta; Mauro Conti 2023-03-29 Latent Feature Relation Consistency for Adversarial Robustness. (99%)Xingbin Liu; Huafeng Kuang; Hong Liu; Xianming Lin; Yongjian Wu; Rongrong Ji Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness. (99%)Wei Wei; Jiahuan Zhou; Ying Wu Targeted Adversarial Attacks on Wind Power Forecasts. (88%)René Heinrich; Christoph Scholz; Stephan Vogt; Malte Lehna Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. (67%)Zihan Liu; Yun Luo; Lirong Wu; Zicheng Liu; Stan Z. Li ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. (56%)Xiaodan Li; Yuefeng Chen; Yao Zhu; Shuhui Wang; Rong Zhang; Hui Xue Graph Neural Networks for Hardware Vulnerability Analysis -- Can you Trust your GNN? 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(31%)Matthew Jagielski; Milad Nasr; Christopher Choquette-Choo; Katherine Lee; Nicholas Carlini On the Feasibility of Specialized Ability Extracting for Large Language Code Models. (22%)Zongjie Li; Chaozheng Wang; Pingchuan Ma; Chaowei Liu; Shuai Wang; Daoyuan Wu; Cuiyun Gao A Unified Algebraic Perspective on Lipschitz Neural Networks. (15%)Alexandre Araujo; Aaron Havens; Blaise Delattre; Alexandre Allauzen; Bin Hu Learning to Backdoor Federated Learning. (15%)Henger Li; Chen Wu; Sencun Zhu; Zizhan Zheng Partial-Information, Longitudinal Cyber Attacks on LiDAR in Autonomous Vehicles. (10%)R. Spencer Hallyburton; Qingzhao Zhang; Z. Morley Mao; Miroslav Pajic ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. (1%)Animesh Basak Chowdhury; Lilas Alrahis; Luca Collini; Johann Knechtel; Ramesh Karri; Siddharth Garg; Ozgur Sinanoglu; Benjamin Tan Rethinking Confidence Calibration for Failure Prediction. (1%)Fei Zhu; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 2023-03-05 Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models. (99%)Hassan Ali; Muhammad Atif Butt; Fethi Filali; Ala Al-Fuqaha; Junaid Qadir Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks. (99%)Yiran Li; Junpeng Wang; Takanori Fujiwara; Kwan-Liu Ma Adversarial Sampling for Fairness Testing in Deep Neural Network. (98%)Tosin Ige; William Marfo; Justin Tonkinson; Sikiru Adewale; Bolanle Hafiz Matti Local Environment Poisoning Attacks on Federated Reinforcement Learning. (12%)Evelyn Ma; Rasoul Etesami Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild. (10%)Vihari Piratla Knowledge-Based Counterfactual Queries for Visual Question Answering. (3%)Theodoti Stoikou; Maria Lymperaiou; Giorgos Stamou 2023-03-04 Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes. 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(15%)Amira Guesmi; Ioan Marius Bilasco; Muhammad Shafique; Ihsen Alouani TrojText: Test-time Invisible Textual Trojan Insertion. (2%)Qian Lou; Yepeng Liu; Bo Feng 2023-03-02 Defending against Adversarial Audio via Diffusion Model. (99%)Shutong Wu; Jiongxiao Wang; Wei Ping; Weili Nie; Chaowei Xiao Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression. (99%)Junho Kim. Byung-Kwan Lee; Yong Man Ro AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. (99%)Amira Guesmi; Muhammad Abdullah Hanif; Muhammad Shafique APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. (99%)Amira Guesmi; Muhammad Abdullah Hanif; Ihsen Alouani; Muhammad Shafique Targeted Adversarial Attacks against Neural Machine Translation. 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(1%)Zicheng Wang; Zhen Zhao; Xiaoxia Xing; Dong Xu; Xiangyu Kong; Luping Zhou 2023-03-01 To Make Yourself Invisible with Adversarial Semantic Contours. (99%)Yichi Zhang; Zijian Zhu; Hang Su; Jun Zhu; Shibao Zheng; Yuan He; Hui Xue Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Data Manifolds. (98%)Odelia Melamed; Gilad Yehudai; Gal Vardi Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process. (95%)Mingze Ni; Zhensu Sun; Wei Liu A Practical Upper Bound for the Worst-Case Attribution Deviations. (70%)Fan Wang; Adams Wai-Kin Kong Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. (54%)Jianing Zhu; Jiangchao Yao; Tongliang Liu; Quanming Yao; Jianliang Xu; Bo Han Poster: Sponge ML Model Attacks of Mobile Apps. (8%)Souvik Paul; Nicolas Kourtellis DOLOS: A Novel Architecture for Moving Target Defense. (8%)Giulio Pagnotta; Gaspari Fabio De; Dorjan Hitaj; Mauro Andreolini; Michele Colajanni; Luigi V. Mancini Mitigating Backdoors in Federated Learning with FLD. (2%)Yihang Lin; Pengyuan Zhou; Zhiqian Wu; Yong Liao Competence-Based Analysis of Language Models. (1%)Adam Davies; Jize Jiang; ChengXiang Zhai 2023-02-28 A semantic backdoor attack against Graph Convolutional Networks. (98%)Jiazhu Dai; Zhipeng Xiong Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors. (67%)Long Tang; Dengpan Ye; Zhenhao Lu; Yunming Zhang; Shengshan Hu; Yue Xu; Chuanxi Chen Single Image Backdoor Inversion via Robust Smoothed Classifiers. (22%)Mingjie Sun; Zico Kolter Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger. (11%)Yi Yu; Yufei Wang; Wenhan Yang; Shijian Lu; Yap-peng Tan; Alex C. Kot FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases. (1%)Chong Fu; Xuhong Zhang; Shouling Ji; Ting Wang; Peng Lin; Yanghe Feng; Jianwei Yin 2023-02-27 A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. (99%)Chang Liu; Yinpeng Dong; Wenzhao Xiang; Xiao Yang; Hang Su; Jun Zhu; Yuefeng Chen; Yuan He; Hui Xue; Shibao Zheng Adversarial Attack with Raindrops. (99%)Jiyuan Liu; Bingyi Lu; Mingkang Xiong; Tao Zhang; Huilin Xiong Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study. (99%)Fabian Woitschek; Georg Schneider Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks. (98%)Jialai Wang; Ziyuan Zhang; Meiqi Wang; Han Qiu; Tianwei Zhang; Qi Li; Zongpeng Li; Tao Wei; Chao Zhang CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World. (98%)Jiawei Lian; Xiaofei Wang; Yuru Su; Mingyang Ma; Shaohui Mei Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain. (96%)Chang Liu; Wenzhao Xiang; Yuan He; Hui Xue; Shibao Zheng; Hang Su Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic. (83%)Guodong Huang; Chuan Ma; Ming Ding; Yuwen Qian; Chunpeng Ge; Liming Fang; Zhe Liu GLOW: Global Layout Aware Attacks on Object Detection. (81%)Buyu Liu; BaoJun; Jianping Fan; Xi Peng; Kui Ren; Jun Yu Online Black-Box Confidence Estimation of Deep Neural Networks. (16%)Fabian Woitschek; Georg Schneider Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks. (15%)Mohammad Mohammadi; Jonathan Nöther; Debmalya Mandal; Adish Singla; Goran Radanovic Differentially Private Diffusion Models Generate Useful Synthetic Images. (10%)Sahra Ghalebikesabi; Leonard Berrada; Sven Gowal; Ira Ktena; Robert Stanforth; Jamie Hayes; Soham De; Samuel L. 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(97%)Hao Lv; Bing Li; Lei Zhang; Cheng Liu; Ying Wang Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. (88%)Francesco Croce; Sylvestre-Alvise Rebuffi; Evan Shelhamer; Sven Gowal Poisoning Web-Scale Training Datasets is Practical. (83%)Nicholas Carlini; Matthew Jagielski; Christopher A. Choquette-Choo; Daniel Paleka; Will Pearce; Hyrum Anderson; Andreas Terzis; Kurt Thomas; Florian Tramèr Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network. (47%)Xiaojian Yuan; Kejiang Chen; Jie Zhang; Weiming Zhang; Nenghai Yu; Yang Zhang Model-based feature selection for neural networks: A mixed-integer programming approach. (22%)Shudian Zhao; Calvin Tsay; Jan Kronqvist Take Me Home: Reversing Distribution Shifts using Reinforcement Learning. (8%)Vivian Lin; Kuk Jin Jang; Souradeep Dutta; Michele Caprio; Oleg Sokolsky; Insup Lee 2023-02-19 X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. (99%)Aishan Liu; Jun Guo; Jiakai Wang; Siyuan Liang; Renshuai Tao; Wenbo Zhou; Cong Liu; Xianglong Liu; Dacheng Tao Stationary Point Losses for Robust Model. (93%)Weiwei Gao; Dazhi Zhang; Yao Li; Zhichang Guo; Ovanes Petrosian On Feasibility of Server-side Backdoor Attacks on Split Learning. (76%)Behrad Tajalli; Oguzhan Ersoy; Stjepan Picek 2023-02-18 Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. (99%)Baoyuan Wu; Li Liu; Zihao Zhu; Qingshan Liu; Zhaofeng He; Siwei Lyu Delving into the Adversarial Robustness of Federated Learning. (98%)Jie Zhang; Bo Li; Chen Chen; Lingjuan Lyu; Shuang Wu; Shouhong Ding; Chao Wu Meta Style Adversarial Training for Cross-Domain Few-Shot Learning. (83%)Yuqian Fu; Yu Xie; Yanwei Fu; Yu-Gang Jiang MedViT: A Robust Vision Transformer for Generalized Medical Image Classification. (12%)Omid Nejati Manzari; Hamid Ahmadabadi; Hossein Kashiani; Shahriar B. Shokouhi; Ahmad Ayatollahi RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks. (11%)Marwan Omar Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics. (2%)Nihal Murali; Aahlad Puli; Ke Yu; Rajesh Ranganath; Kayhan Batmanghelich 2023-02-17 Measuring Equality in Machine Learning Security Defenses. (96%)Luke E. Richards; Edward Raff; Cynthia Matuszek Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions. (5%)Manish Nagireddy; Moninder Singh; Samuel C. Hoffman; Evaline Ju; Karthikeyan Natesan Ramamurthy; Kush R. Varshney RetVec: Resilient and Efficient Text Vectorizer. (1%)Elie Bursztein; Marina Zhang; Owen Vallis; Xinyu Jia; Alexey Kurakin 2023-02-16 On the Effect of Adversarial Training Against Invariance-based Adversarial Examples. (99%)Roland Rauter; Martin Nocker; Florian Merkle; Pascal Schöttle High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking. (67%)Huajie Chen; Tianqing Zhu; Chi Liu; Shui Yu; Wanlei Zhou Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data. (3%)Pratik Karmakar; Debabrota Basu A Novel Noise Injection-based Training Scheme for Better Model Robustness. (2%)Zeliang Zhang; Jinyang Jiang; Minjie Chen; Zhiyuan Wang; Yijie Peng; Zhaofei Yu 2023-02-15 Masking and Mixing Adversarial Training. (99%)Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yasunori Ishii; Kazuki Kozuka Robust Mid-Pass Filtering Graph Convolutional Networks. (98%)Jincheng Huang; Lun Du; Xu Chen; Qiang Fu; Shi Han; Dongmei Zhang Graph Adversarial Immunization for Certifiable Robustness. (98%)Shuchang Tao; Huawei Shen; Qi Cao; Yunfan Wu; Liang Hou; Xueqi Cheng XploreNAS: Explore Adversarially Robust & Hardware-efficient Neural Architectures for Non-ideal Xbars. (87%)Abhiroop Bhattacharjee; Abhishek Moitra; Priyadarshini Panda Tight Auditing of Differentially Private Machine Learning. (41%)Milad Nasr; Jamie Hayes; Thomas Steinke; Borja Balle; Florian Tramèr; Matthew Jagielski; Nicholas Carlini; Andreas Terzis Field-sensitive Data Flow Integrity. (1%)So Shizukuishi; Yoshitaka Arahori; Katsuhiko Gondow Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection. (1%)Mouxiao Huang; Yu Qiao 2023-02-14 Regret-Based Optimization for Robust Reinforcement Learning. (99%)Roman Belaire; Pradeep Varakantham; David Lo On the Role of Randomization in Adversarially Robust Classification. (99%)Lucas Gnecco-Heredia; Yann Chevaleyre; Benjamin Negrevergne; Laurent Meunier; Muni Sreenivas Pydi Attacking Fake News Detectors via Manipulating News Social Engagement. (83%)Haoran Wang; Yingtong Dou; Canyu Chen; Lichao Sun; Philip S. Yu; Kai Shu An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning. (31%)Shenghui Li; Edith C. -H. Ngai; Thiemo Voigt A Modern Look at the Relationship between Sharpness and Generalization. (10%)Maksym Andriushchenko; Francesco Croce; Maximilian Müller; Matthias Hein; Nicolas Flammarion Bounding Training Data Reconstruction in DP-SGD. (8%)Jamie Hayes; Saeed Mahloujifar; Borja Balle Security Defense For Smart Contracts: A Comprehensive Survey. (1%)Nikolay Ivanov; Chenning Li; Qiben Yan; Zhiyuan Sun; Zhichao Cao; Xiapu Luo READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises. (1%)Chenglei Si; Zhengyan Zhang; Yingfa Chen; Xiaozhi Wang; Zhiyuan Liu; Maosong Sun 2023-02-13 Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data. (98%)Gorka Abad; Oguzhan Ersoy; Stjepan Picek; Aitor Urbieta Raising the Cost of Malicious AI-Powered Image Editing. (82%)Hadi Salman; Alaa Khaddaj; Guillaume Leclerc; Andrew Ilyas; Aleksander Madry Targeted Attack on GPT-Neo for the SATML Language Model Data Extraction Challenge. (8%)Ali Al-Kaswan; Maliheh Izadi; Deursen Arie van Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions. (1%)Marwan Omar 2023-02-12 TextDefense: Adversarial Text Detection based on Word Importance Entropy. (99%)Lujia Shen; Xuhong Zhang; Shouling Ji; Yuwen Pu; Chunpeng Ge; Xing Yang; Yanghe Feng 2023-02-11 Mutation-Based Adversarial Attacks on Neural Text Detectors. (69%)Gongbo Liang; Jesus Guerrero; Izzat Alsmadi HateProof: Are Hateful Meme Detection Systems really Robust? (13%)Piush Aggarwal; Pranit Chawla; Mithun Das; Punyajoy Saha; Binny Mathew; Torsten Zesch; Animesh Mukherjee MTTM: Metamorphic Testing for Textual Content Moderation Software. (2%)Wenxuan Wang; Jen-tse Huang; Weibin Wu; Jianping Zhang; Yizhan Huang; Shuqing Li; Pinjia He; Michael Lyu Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play. (1%)Jeremiah Zhe Liu; Krishnamurthy Dj Dvijotham; Jihyeon Lee; Quan Yuan; Martin Strobel; Balaji Lakshminarayanan; Deepak Ramachandran High Recovery with Fewer Injections: Practical Binary Volumetric Injection Attacks against Dynamic Searchable Encryption. (1%)Xianglong Zhang; Wei Wang; Peng Xu; Laurence T. Yang; Kaitai Liang 2023-02-10 Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples. (98%)Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen Unnoticeable Backdoor Attacks on Graph Neural Networks. (80%)Enyan Dai; Minhua Lin; Xiang Zhang; Suhang Wang Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks. (73%)Piotr Gaiński; Klaudia Bałazy 2023-02-09 IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness. (98%)Xiaoyun Xu; Guilherme Perin; Stjepan Picek Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. (98%)Chumeng Liang; Xiaoyu Wu; Yang Hua; Jiaru Zhang; Yiming Xue; Tao Song; Zhengui Xue; Ruhui Ma; Haibing Guan Hyperparameter Search Is All You Need For Training-Agnostic Backdoor Robustness. (75%)Eugene Bagdasaryan; Vitaly Shmatikov Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder. (62%)Jiliang Zhang; Jing Xu; Zhi Zhang; Yansong Gao Better Diffusion Models Further Improve Adversarial Training. (22%)Zekai Wang; Tianyu Pang; Chao Du; Min Lin; Weiwei Liu; Shuicheng Yan Augmenting NLP data to counter Annotation Artifacts for NLI Tasks. (16%)Armaan Singh Bhullar Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks. (1%)Pengfei Yang; Zhiming Chi; Zongxin Liu; Mengyu Zhao; Cheng-Chao Huang; Shaowei Cai; Lijun Zhang 2023-02-08 WAT: Improve the Worst-class Robustness in Adversarial Training. (99%)Boqi Li; Weiwei Liu Exploiting Certified Defences to Attack Randomised Smoothing. (99%)Andrew C. Cullen; Paul Montague; Shijie Liu; Sarah M. Erfani; Benjamin I. P. Rubinstein Shortcut Detection with Variational Autoencoders. (13%)Nicolas M. Müller; Simon Roschmann; Shahbaz Khan; Philip Sperl; Konstantin Böttinger Continuous Learning for Android Malware Detection. (13%)Yizheng Chen; Zhoujie Ding; David Wagner Training-free Lexical Backdoor Attacks on Language Models. (8%)Yujin Huang; Terry Yue Zhuo; Qiongkai Xu; Han Hu; Xingliang Yuan; Chunyang Chen On Function-Coupled Watermarks for Deep Neural Networks. (2%)Xiangyu Wen; Yu Li; Wei Jiang; Qiang Xu Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy. (1%)Cheolhyoung Lee; Kyunghyun Cho 2023-02-07 Toward Face Biometric De-identification using Adversarial Examples. (98%)Mahdi Ghafourian; Julian Fierrez; Luis Felipe Gomez; Ruben Vera-Rodriguez; Aythami Morales; Zohra Rezgui; Raymond Veldhuis Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. (83%)Simin Li; Jun Guo; Jingqiao Xiu; Pu Feng; Xin Yu; Jiakai Wang; Aishan Liu; Wenjun Wu; Xianglong Liu Membership Inference Attacks against Diffusion Models. (64%)Tomoya Matsumoto; Takayuki Miura; Naoto Yanai Temporal Robustness against Data Poisoning. (12%)Wenxiao Wang; Soheil Feizi Robustness Implies Fairness in Casual Algorithmic Recourse. (2%)Ahmad-Reza Ehyaei; Amir-Hossein Karimi; Bernhard Schölkopf; Setareh Maghsudi Low-Latency Communication using Delay-Aware Relays Against Reactive Adversaries. (1%)Vivek Chaudhary; J. Harshan 2023-02-06 Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. (99%)Ning Lu; Shengcai Liu; Zhirui Zhang; Qi Wang; Haifeng Liu; Ke Tang SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. (92%)Junfeng Guo; Yiming Li; Xun Chen; Hanqing Guo; Lichao Sun; Cong Liu Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. (87%)Yuancheng Xu; Yanchao Sun; Micah Goldblum; Tom Goldstein; Furong Huang Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks. (75%)Jan Schuchardt; Aleksandar Bojchevski; Johannes Gasteiger; Stephan Günnemann GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. (67%)Salah Ghamizi; Jingfeng Zhang; Maxime Cordy; Mike Papadakis; Masashi Sugiyama; Yves Le Traon Target-based Surrogates for Stochastic Optimization. (1%)Jonathan Wilder Lavington; Sharan Vaswani; Reza Babanezhad; Mark Schmidt; Nicolas Le Roux Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks. (1%)Emanuele Ledda; Giorgio Fumera; Fabio Roli One-shot Empirical Privacy Estimation for Federated Learning. (1%)Galen Andrew; Peter Kairouz; Sewoong Oh; Alina Oprea; H. Brendan McMahan; Vinith Suriyakumar 2023-02-05 On the Role of Contrastive Representation Learning in Adversarial Robustness: An Empirical Study. (54%)Fatemeh Ghofrani; Mehdi Yaghouti; Pooyan Jamshidi Leaving Reality to Imagination: Robust Classification via Generated Datasets. (2%)Hritik Bansal; Aditya Grover 2023-02-04 CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks. (99%)Shashank Agnihotri; Steffen Jung; Margret Keuper A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. (86%)Federica Granese; Marco Romanelli; Siddharth Garg; Pablo Piantanida Run-Off Election: Improved Provable Defense against Data Poisoning Attacks. (83%)Keivan Rezaei; Kiarash Banihashem; Atoosa Chegini; Soheil Feizi AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models. (80%)Abdullah Caglar Oksuz; Anisa Halimi; Erman Ayday Certified Robust Control under Adversarial Perturbations. (78%)Jinghan Yang; Hunmin Kim; Wenbin Wan; Naira Hovakimyan; Yevgeniy Vorobeychik 2023-02-03 TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification. (96%)Lingfeng Shen; Ze Zhang; Haiyun Jiang; Ying Chen DeTorrent: An Adversarial Padding-only Traffic Analysis Defense. (73%)James K Holland; Jason Carpenter; Se Eun Oh; Nicholas Hopper SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification. (61%)Gorka Abad; Jing Xu; Stefanos Koffas; Behrad Tajalli; Stjepan Picek; Mauro Conti Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels. 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(1%)Jacob Alexander Markson Brown; Xi Jiang; Van Tran; Arjun Nitin Bhagoji; Nguyen Phong Hoang; Nick Feamster; Prateek Mittal; Vinod Yegneswaran 2023-02-02 TransFool: An Adversarial Attack against Neural Machine Translation Models. (99%)Sahar Sadrizadeh; Ljiljana Dolamic; Pascal Frossard Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. (99%)Zunzhi You; Daochang Liu; Bohyung Han; Chang Xu On the Robustness of Randomized Ensembles to Adversarial Perturbations. (75%)Hassan Dbouk; Naresh R. Shanbhag A sliced-Wasserstein distance-based approach for out-of-class-distribution detection. (62%)Mohammad Shifat E Rabbi; Abu Hasnat Mohammad Rubaiyat; Yan Zhuang; Gustavo K Rohde Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. 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(75%)Lu Pang; Tao Sun; Haibin Ling; Chao Chen Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. (70%)Zifan Wang; Nan Ding; Tomer Levinboim; Xi Chen; Radu Soricut SoK: Inference Attacks and Defenses in Human-Centered Wireless Sensing. (69%)Wei Sun; Tingjun Chen; Neil Gong 2022-11-21 Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization. (99%)Jiafeng Wang; Zhaoyu Chen; Kaixun Jiang; Dingkang Yang; Lingyi Hong; Yan Wang; Wenqiang Zhang Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack. (99%)Yunfeng Diao; He Wang; Tianjia Shao; Yong-Liang Yang; Kun Zhou; David Hogg Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. (99%)Sizhe Chen; Geng Yuan; Xinwen Cheng; Yifan Gong; Minghai Qin; Yanzhi Wang; Xiaolin Huang Addressing Mistake Severity in Neural Networks with Semantic Knowledge. (92%)Natalie Abreu; Nathan Vaska; Victoria Helus Efficient Generalization Improvement Guided by Random Weight Perturbation. (68%)Tao Li; Weihao Yan; Zehao Lei; Yingwen Wu; Kun Fang; Ming Yang; Xiaolin Huang CLAWSAT: Towards Both Robust and Accurate Code Models. (56%)Jinghan Jia; Shashank Srikant; Tamara Mitrovska; Chuang Gan; Shiyu Chang; Sijia Liu; Una-May O'Reilly Fairness Increases Adversarial Vulnerability. (54%)Cuong Tran; Keyu Zhu; Ferdinando Fioretto; Henternyck Pascal Van Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving. (10%)Yinbo Yu; Jiajia Liu SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networks. (8%)Sunder Ali Khowaja; Parus Khuwaja; Kapal Dev; Angelos Antonopoulos A Survey on Backdoor Attack and Defense in Natural Language Processing. (2%)Xuan Sheng; Zhaoyang Han; Piji Li; Xiangmao Chang Understanding and Improving Visual Prompting: A Label-Mapping Perspective. (2%)Aochuan Chen; Yuguang Yao; Pin-Yu Chen; Yihua Zhang; Sijia Liu Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text. (1%)Qianhui Wu; Huiqiang Jiang; Haonan Yin; Börje F. Karlsson; Chin-Yew Lin Privacy in Practice: Private COVID-19 Detection in X-Ray Images. (1%)Lucas Lange; Maja Schneider; Erhard Rahm A Tale of Frozen Clouds: Quantifying the Impact of Algorithmic Complexity Vulnerabilities in Popular Web Servers. (1%)Masudul Hasan Masud Bhuiyan; Cristian-Alexandru Staicu 2022-11-20 Spectral Adversarial Training for Robust Graph Neural Network. (99%)Jintang Li; Jiaying Peng; Liang Chen; Zibin Zheng; Tingting Liang; Qing Ling Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification. (81%)Wenli Sun; Xinyang Jiang; Shuguang Dou; Dongsheng Li; Duoqian Miao; Cheng Deng; Cairong Zhao Taming Reachability Analysis of DNN-Controlled Systems via Abstraction-Based Training. 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(1%)Pedro Faustini; Natasha Fernandes; Shakila Tonni; Annabelle McIver; Mark Dras 2022-11-08 Preserving Semantics in Textual Adversarial Attacks. (99%)David Herel; Hugo Cisneros; Tomas Mikolov NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? (98%)Saadia Gabriel; Hamid Palangi; Yejin Choi How Fraudster Detection Contributes to Robust Recommendation. (67%)Yuni Lai; Kai Zhou Lipschitz Continuous Algorithms for Graph Problems. (16%)Soh Kumabe; Yuichi Yoshida Learning advisor networks for noisy image classification. (1%)Simone Ricci; Tiberio Uricchio; Bimbo Alberto Del 2022-11-07 Are AlphaZero-like Agents Robust to Adversarial Perturbations? (99%)Li-Cheng Lan; Huan Zhang; Ti-Rong Wu; Meng-Yu Tsai; I-Chen Wu; Cho-Jui Hsieh Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation. (82%)Zijie Lou; Gang Cao; Man Lin Deviations in Representations Induced by Adversarial Attacks. (70%)Daniel Steinberg; Paul Munro A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System. (1%)Zong-Zhi Lin; Thomas D. Pike; Mark M. Bailey; Nathaniel D. Bastian Interpreting deep learning output for out-of-distribution detection. (1%)Damian Matuszewski; Ida-Maria Sintorn Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks. (1%)Naoya Tezuka; Hideya Ochiai; Yuwei Sun; Hiroshi Esaki 2022-11-06 Contrastive Weighted Learning for Near-Infrared Gaze Estimation. (31%)Adam Lee 2022-11-05 Textual Manifold-based Defense Against Natural Language Adversarial Examples. (99%)Dang Minh Nguyen; Luu Anh Tuan Stateful Detection of Adversarial Reprogramming. (96%)Yang Zheng; Xiaoyi Feng; Zhaoqiang Xia; Xiaoyue Jiang; Maura Pintor; Ambra Demontis; Battista Biggio; Fabio Roli Robust Lottery Tickets for Pre-trained Language Models. (83%)Rui Zheng; Rong Bao; Yuhao Zhou; Di Liang; Sirui Wang; Wei Wu; Tao Gui; Qi Zhang; Xuanjing Huang 2022-11-04 Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning. (99%)Anaelia Ovalle; Evan Czyzycki; Cho-Jui Hsieh Logits are predictive of network type. (68%)Ali Borji An Adversarial Robustness Perspective on the Topology of Neural Networks. (64%)Morgane Goibert; Thomas Ricatte; Elvis Dohmatob Fairness-aware Regression Robust to Adversarial Attacks. (38%)Yulu Jin; Lifeng Lai Extension of Simple Algorithms to the Matroid Secretary Problem. (9%)Simon Park Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions. (3%)Gaurav Verma; Vishwa Vinay; Ryan A. Rossi; Srijan Kumar Data Models for Dataset Drift Controls in Machine Learning With Images. (1%)Luis Oala; Marco Aversa; Gabriel Nobis; Kurt Willis; Yoan Neuenschwander; Michèle Buck; Christian Matek; Jerome Extermann; Enrico Pomarico; Wojciech Samek; Roderick Murray-Smith; Christoph Clausen; Bruno Sanguinetti 2022-11-03 Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. (99%)Xingxing Wei; Bangzheng Pu; Jiefan Lu; Baoyuan Wu Adversarial Defense via Neural Oscillation inspired Gradient Masking. (98%)Chunming Jiang; Yilei Zhang M-to-N Backdoor Paradigm: A Stealthy and Fuzzy Attack to Deep Learning Models. (98%)Linshan Hou; Zhongyun Hua; Yuhong Li; Leo Yu Zhang Robust Few-shot Learning Without Using any Adversarial Samples. (89%)Gaurav Kumar Nayak; Ruchit Rawal; Inder Khatri; Anirban Chakraborty Data-free Defense of Black Box Models Against Adversarial Attacks. (84%)Gaurav Kumar Nayak; Inder Khatri; Shubham Randive; Ruchit Rawal; Anirban Chakraborty Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise. (38%)Christian Heider Nielsen; Zheng-Hua Tan Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems. (33%)Chong Chen; Ying Gao; Leyu Shi; Siquan Huang Unintended Memorization and Timing Attacks in Named Entity Recognition Models. (12%)Rana Salal Ali; Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Tham Nguyen; Ian David Wood; Dali Kaafar 2022-11-02 Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks. (99%)Amira Guesmi; Ihsen Alouani; Khaled N. Khasawneh; Mouna Baklouti; Tarek Frikha; Mohamed Abid; Nael Abu-Ghazaleh Improving transferability of 3D adversarial attacks with scale and shear transformations. (99%)Jinali Zhang; Yinpeng Dong; Jun Zhu; Jihong Zhu; Minchi Kuang; Xiaming Yuan Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise. (99%)Jhih-Cing Huang; Yu-Lin Tsai; Chao-Han Huck Yang; Cheng-Fang Su; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo Adversarial Attack on Radar-based Environment Perception Systems. (99%)Amira Guesmi; Ihsen Alouani Isometric Representations in Neural Networks Improve Robustness. (62%)Kosio Beshkov; Jonas Verhellen; Mikkel Elle Lepperød BATT: Backdoor Attack with Transformation-based Triggers. (56%)Tong Xu; Yiming Li; Yong Jiang; Shu-Tao Xia Untargeted Backdoor Attack against Object Detection. (50%)Chengxiao Luo; Yiming Li; Yong Jiang; Shu-Tao Xia Generative Adversarial Training Can Improve Neural Language Models. (33%)Sajad Movahedi; Azadeh Shakery Backdoor Defense via Suppressing Model Shortcuts. (3%)Sheng Yang; Yiming Li; Yong Jiang; Shu-Tao Xia Human-in-the-Loop Mixup. (1%)Katherine M. Collins; Umang Bhatt; Weiyang Liu; Vihari Piratla; Ilia Sucholutsky; Bradley Love; Adrian Weller 2022-11-01 The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. (99%)Junhao Dong; Seyed-Mohsen Moosavi-Dezfooli; Jianhuang Lai; Xiaohua Xie LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification. (99%)Xing Chen; Jie Wang; Xiao-Lei Zhang; Wei-Qiang Zhang; Kunde Yang DensePure: Understanding Diffusion Models towards Adversarial Robustness. (98%)Chaowei Xiao; Zhongzhu Chen; Kun Jin; Jiongxiao Wang; Weili Nie; Mingyan Liu; Anima Anandkumar; Bo Li; Dawn Song Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. (87%)Jianan Zhou; Jianing Zhu; Jingfeng Zhang; Tongliang Liu; Gang Niu; Bo Han; Masashi Sugiyama Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. (82%)Ekaterina Shumitskaya; Anastasia Antsiferova; Dmitriy Vatolin The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. (80%)Virat Shejwalkar; Lingjuan Lyu; Amir Houmansadr Maximum Likelihood Distillation for Robust Modulation Classification. (69%)Javier Maroto; Gérôme Bovet; Pascal Frossard FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness. (45%)Wenhao Wu; Wei Li; Jiachen Liu; Xinyan Xiao; Ziqiang Cao; Sujian Li; Hua Wu Amplifying Membership Exposure via Data Poisoning. (22%)Yufei Chen; Chao Shen; Yun Shen; Cong Wang; Yang Zhang ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph. (13%)Jinyin Chen; Jie Ge; Haibin Zheng 2022-10-31 Scoring Black-Box Models for Adversarial Robustness. (98%)Jian Vora; Pranay Reddy Samala ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation. (88%)Tomokatsu Takahashi; Masanori Yamada; Yuuki Yamanaka; Tomoya Yamashita SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability. (33%)Dipkamal Bhusal; Rosalyn Shin; Ajay Ashok Shewale; Monish Kumar Manikya Veerabhadran; Michael Clifford; Sara Rampazzi; Nidhi Rastogi Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy. (16%)Daphne Ippolito; Florian Tramèr; Milad Nasr; Chiyuan Zhang; Matthew Jagielski; Katherine Lee; Christopher A. Choquette-Choo; Nicholas Carlini 2022-10-30 Poison Attack and Defense on Deep Source Code Processing Models. (99%)Jia Li; Zhuo Li; Huangzhao Zhang; Ge Li; Zhi Jin; Xing Hu; Xin Xia Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. (99%)Aiwei Liu; Honghai Yu; Xuming Hu; Shu'ang Li; Li Lin; Fukun Ma; Yawen Yang; Lijie Wen Benchmarking Adversarial Patch Against Aerial Detection. (99%)Jiawei Lian; Shaohui Mei; Shun Zhang; Mingyang Ma Symmetric Saliency-based Adversarial Attack To Speaker Identification. (92%)Jiadi Yao; Xing Chen; Xiao-Lei Zhang; Wei-Qiang Zhang; Kunde Yang FI-ODE: Certified and Robust Forward Invariance in Neural ODEs. (61%)Yujia Huang; Ivan Dario Jimenez Rodriguez; Huan Zhang; Yuanyuan Shi; Yisong Yue Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games. (9%)The Viet Bui; Tien Mai; Thanh H. Nguyen 2022-10-29 On the Need of Neuromorphic Twins to Detect Denial-of-Service Attacks on Communication Networks. (10%)Holger Boche; Rafael F. Schaefer; H. Vincent Poor; Frank H. P. Fitzek 2022-10-28 Universal Adversarial Directions. (99%)Ching Lam Choi; Farzan Farnia Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation. (99%)Fengfan Zhou; Hefei Ling; Yuxuan Shi; Jiazhong Chen; Zongyi Li; Ping Li Improving Hyperspectral Adversarial Robustness Under Multiple Attacks. (98%)Nicholas Soucy; Salimeh Yasaei Sekeh Distributed Black-box Attack against Image Classification Cloud Services. (95%)Han Wu; Sareh Rowlands; Johan Wahlstrom RoChBert: Towards Robust BERT Fine-tuning for Chinese. (75%)Zihan Zhang; Jinfeng Li; Ning Shi; Bo Yuan; Xiangyu Liu; Rong Zhang; Hui Xue; Donghong Sun; Chao Zhang Robust Boosting Forests with Richer Deep Feature Hierarchy. (56%)Jianqiao Wangni Localized Randomized Smoothing for Collective Robustness Certification. (26%)Jan Schuchardt; Tom Wollschläger; Aleksandar Bojchevski; Stephan Günnemann Towards Reliable Neural Specifications. (11%)Chuqin Geng; Nham Le; Xiaojie Xu; Zhaoyue Wang; Arie Gurfinkel; Xujie Si On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models. (1%)Mauro Conti; Jiaxin Li; Stjepan Picek 2022-10-27 TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems. (99%)Islam Debicha; Richard Bauwens; Thibault Debatty; Jean-Michel Dricot; Tayeb Kenaza; Wim Mees Isometric 3D Adversarial Examples in the Physical World. (99%)Yibo Miao; Yinpeng Dong; Jun Zhu; Xiao-Shan Gao LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise. (92%)He Tang; He Wang TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. (92%)Yu Cao; Dianqi Li; Meng Fang; Tianyi Zhou; Jun Gao; Yibing Zhan; Dacheng Tao Efficient and Effective Augmentation Strategy for Adversarial Training. (56%)Sravanti Addepalli; Samyak Jain; R. Venkatesh Babu Noise Injection Node Regularization for Robust Learning. (2%)Noam Levi; Itay M. Bloch; Marat Freytsis; Tomer Volansky Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather. (1%)Jinlong Li; Runsheng Xu; Jin Ma; Qin Zou; Jiaqi Ma; Hongkai Yu 2022-10-26 Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting. (99%)Pengyue Hou; Jie Han; Xingyu Li There is more than one kind of robustness: Fooling Whisper with adversarial examples. (98%)Raphael Olivier; Bhiksha Raj Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness. (86%)Jiahao Zhao; Wenji Mao BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples. (75%)Mohaddeseh Bastan; Mihai Surdeanu; Niranjan Balasubramanian EIPSIM: Modeling Secure IP Address Allocation at Cloud Scale. (11%)Eric University of Wisconsin-Madison Pauley; Kyle Pennsylvania State University Domico; Blaine University of Wisconsin-Madison Hoak; Ryan University of Wisconsin-Madison Sheatsley; Quinn University of Wisconsin-Madison Burke; Yohan University of Wisconsin-Madison Beugin; Patrick University of Wisconsin-Madison McDaniel V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization. (10%)Jiangyi Zhejiang University Deng; Fei Zhejiang University Teng; Yanjiao Zhejiang University Chen; Xiaofu Wuhan University Chen; Zhaohui Wuhan University Wang; Wenyuan Zhejiang University Xu Rethinking the Reverse-engineering of Trojan Triggers. (5%)Zhenting Wang; Kai Mei; Hailun Ding; Juan Zhai; Shiqing Ma Cover Reproducible Steganography via Deep Generative Models. (1%)Kejiang Chen; Hang Zhou; Yaofei Wang; Menghan Li; Weiming Zhang; Nenghai Yu DEMIS: A Threat Model for Selectively Encrypted Visual Surveillance Data. (1%)Ifeoluwapo Aribilola; Mamoona Naveed Asghar; Brian Lee Privately Fine-Tuning Large Language Models with Differential Privacy. (1%)Rouzbeh Behnia; Mohamamdreza Ebrahimi; Jason Pacheco; Balaji Padmanabhan 2022-10-25 LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels. (99%)Jiebao Zhang; Wenhua Qian; Rencan Nie; Jinde Cao; Dan Xu Adversarially Robust Medical Classification via Attentive Convolutional Neural Networks. (99%)Isaac Wasserman A White-Box Adversarial Attack Against a Digital Twin. (99%)Wilson Patterson; Ivan Fernandez; Subash Neupane; Milan Parmar; Sudip Mittal; Shahram Rahimi Adaptive Test-Time Defense with the Manifold Hypothesis. (98%)Zhaoyuan Yang; Zhiwei Xu; Jing Zhang; Richard Hartley; Peter Tu Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. (98%)James Lee Hu; Mohammadreza Ebrahimi; Weifeng Li; Xin Li; Hsinchun Chen Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. (98%)Sina Baharlouei; Fatemeh Sheikholeslami; Meisam Razaviyayn; Zico Kolter Accelerating Certified Robustness Training via Knowledge Transfer. (73%)Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network. (64%)Huan Hua; Jun Yan; Xi Fang; Weiquan Huang; Huilin Yin; Wancheng Ge Towards Robust Recommender Systems via Triple Cooperative Defense. (61%)Qingyang Wang; Defu Lian; Chenwang Wu; Enhong Chen Towards Formal Approximated Minimal Explanations of Neural Networks. (13%)Shahaf Bassan; Guy Katz FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. (13%)Yulin Zhu; Liang Tong; Kai Zhou A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. (3%)M. Kuzlu; F. O. Catak; S. Sarp; U. Cali; O Gueler Robustness of Locally Differentially Private Graph Analysis Against Poisoning. (1%)Jacob Imola; Amrita Roy Chowdhury; Kamalika Chaudhuri 2022-10-24 Ares: A System-Oriented Wargame Framework for Adversarial ML. (99%)Farhan Ahmed; Pratik Vaishnavi; Kevin Eykholt; Amir Rahmati SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning. (99%)Giovanni Apruzzese; Mauro Conti; Ying Yuan Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs. (96%)Haibin Zheng; Haiyang Xiong; Jinyin Chen; Haonan Ma; Guohan Huang On the Robustness of Dataset Inference. (88%)Sebastian Szyller; Rui Zhang; Jian Liu; N. Asokan Flexible Android Malware Detection Model based on Generative Adversarial Networks with Code Tensor. (16%)Zhao Yang; Fengyang Deng; Linxi Han Revisiting Sparse Convolutional Model for Visual Recognition. (11%)Xili Dai; Mingyang Li; Pengyuan Zhai; Shengbang Tong; Xingjian Gao; Shao-Lun Huang; Zhihui Zhu; Chong You; Yi Ma 2022-10-23 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning. (68%)Kaiyuan Zhang; Guanhong Tao; Qiuling Xu; Siyuan Cheng; Shengwei An; Yingqi Liu; Shiwei Feng; Guangyu Shen; Pin-Yu Chen; Shiqing Ma; Xiangyu Zhang Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future. (45%)Guo-Jun Qi; Mubarak Shah 2022-10-22 ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. (99%)Fan Yin; Yao Li; Cho-Jui Hsieh; Kai-Wei Chang Hindering Adversarial Attacks with Implicit Neural Representations. (92%)Andrei A. Rusu; Dan A. Calian; Sven Gowal; Raia Hadsell GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections. (81%)Junyuan Fang; Haixian Wen; Jiajing Wu; Qi Xuan; Zibin Zheng; Chi K. Tse Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games. (26%)Maria-Florina Balcan; Rattana Pukdee; Pradeep Ravikumar; Hongyang Zhang Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation. (4%)Wenhao Wu; Wei Li; Jiachen Liu; Xinyan Xiao; Sujian Li; Yajuan Lyu 2022-10-21 Evolution of Neural Tangent Kernels under Benign and Adversarial Training. (99%)Noel Loo; Ramin Hasani; Alexander Amini; Daniela Rus The Dark Side of AutoML: Towards Architectural Backdoor Search. (68%)Ren Pang; Changjiang Li; Zhaohan Xi; Shouling Ji; Ting Wang Diffusion Visual Counterfactual Explanations. (10%)Maximilian Augustin; Valentyn Boreiko; Francesco Croce; Matthias Hein TCAB: A Large-Scale Text Classification Attack Benchmark. (10%)Kalyani Asthana; Zhouhang Xie; Wencong You; Adam Noack; Jonathan Brophy; Sameer Singh; Daniel Lowd A critical review of cyber-physical security for building automation systems. (2%)Guowen Li; Lingyu Ren; Yangyang Fu; Zhiyao Yang; Veronica Adetola; Jin Wen; Qi Zhu; Teresa Wu; K. Selcuk Candanf; Zheng O'Neill Extracted BERT Model Leaks More Information than You Think! (1%)Xuanli He; Chen Chen; Lingjuan Lyu; Qiongkai Xu 2022-10-20 Identifying Human Strategies for Generating Word-Level Adversarial Examples. (98%)Maximilian Mozes; Bennett Kleinberg; Lewis D. Griffin Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. (98%)Jiyang Guan; Jian Liang; Ran He Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. 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(99%)Minseon Kim; Hyeonjeong Ha; Sooel Son; Sung Ju Hwang Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis. (83%)Ruinan Jin; Xiaoxiao Li Chaos Theory and Adversarial Robustness. (73%)Jonathan S. Kent Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey. (69%)Hui Cao; Wenlong Zou; Yinkun Wang; Ting Song; Mengjun Liu Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. (64%)Yangyi Chen; Hongcheng Gao; Ganqu Cui; Fanchao Qi; Longtao Huang; Zhiyuan Liu; Maosong Sun Model-Free Prediction of Adversarial Drop Points in 3D Point Clouds. (54%)Hanieh Naderi; Chinthaka Dinesh; Ivan V. Bajic; Shohreh Kasaei FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information. (41%)Xiaoyu Cao; Jinyuan Jia; Zaixi Zhang; Neil Zhenqiang Gong Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning. (16%)Ruihan Wu; Xiangyu Chen; Chuan Guo; Kilian Q. Weinberger Variational Model Perturbation for Source-Free Domain Adaptation. (1%)Mengmeng Jing; Xiantong Zhen; Jingjing Li; Cees G. M. Snoek 2022-10-18 Scaling Adversarial Training to Large Perturbation Bounds. (98%)Sravanti Addepalli; Samyak Jain; Gaurang Sriramanan; R. Venkatesh Babu Not All Poisons are Created Equal: Robust Training against Data Poisoning. (97%)Yu Yang; Tian Yu Liu; Baharan Mirzasoleiman ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. (73%)Lan Jiang; Hao Zhou; Yankai Lin; Peng Li; Jie Zhou; Rui Jiang Analysis of Master Vein Attacks on Finger Vein Recognition Systems. (56%)Huy H. Nguyen; Trung-Nghia Le; Junichi Yamagishi; Isao Echizen Training set cleansing of backdoor poisoning by self-supervised representation learning. (56%)H. Wang; S. Karami; O. Dia; H. Ritter; E. Emamjomeh-Zadeh; J. Chen; Z. Xiang; D. J. Miller; G. Kesidis On the Adversarial Robustness of Mixture of Experts. 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(99%)Pengfei He; Han Xu; Jie Ren; Yuxuan Wan; Zitao Liu; Jiliang Tang Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class. (96%)Khoa D. Doan; Yingjie Lao; Ping Li DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. (87%)Gaurav Kumar Nayak; Ruchit Rawal; Anirban Chakraborty Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations. (78%)Julia El Zini; Mariette Awad Towards Fair Classification against Poisoning Attacks. (76%)Han Xu; Xiaorui Liu; Yuxuan Wan; Jiliang Tang Deepfake Text Detection: Limitations and Opportunities. (41%)Jiameng Pu; Zain Sarwar; Sifat Muhammad Abdullah; Abdullah Rehman; Yoonjin Kim; Parantapa Bhattacharya; Mobin Javed; Bimal Viswanath You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks. (15%)Yulong Cao; S. Hrushikesh Bhupathiraju; Pirouz Naghavi; Takeshi Sugawara; Z. 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(2%)Ajay Jaiswal; Kumar Ashutosh; Justin F Rousseau; Yifan Peng; Zhangyang Wang; Ying Ding 2022-10-14 Dynamics-aware Adversarial Attack of Adaptive Neural Networks. (89%)An Tao; Yueqi Duan; Yingqi Wang; Jiwen Lu; Jie Zhou When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture. (87%)Yichuan Mo; Dongxian Wu; Yifei Wang; Yiwen Guo; Yisen Wang Is Face Recognition Safe from Realizable Attacks? (84%)Sanjay Saha; Terence Sim Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks. (76%)Sishuo Chen; Wenkai Yang; Zhiyuan Zhang; Xiaohan Bi; Xu Sun Close the Gate: Detecting Backdoored Models in Federated Learning based on Client-Side Deep Layer Output Analysis. (67%)Phillip Technical University Darmstadt Rieger; Torsten University of Würzburg Krauß; Markus Technical University Darmstadt Miettinen; Alexandra University of Würzburg Dmitrienko; Ahmad-Reza Technical University Darmstadt Sadeghi 2022-10-13 Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition. (99%)Shuai Jia; Bangjie Yin; Taiping Yao; Shouhong Ding; Chunhua Shen; Xiaokang Yang; Chao Ma AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. (99%)Farzad Nikfam; Alberto Marchisio; Maurizio Martina; Muhammad Shafique Demystifying Self-supervised Trojan Attacks. (95%)Changjiang Li; Ren Pang; Zhaohan Xi; Tianyu Du; Shouling Ji; Yuan Yao; Ting Wang Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors. (81%)Qixun Wang; Yifei Wang; Hong Zhu; Yisen Wang Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation. 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(9%)Yi Zeng; Minzhou Pan; Himanshu Jahagirdar; Ming Jin; Lingjuan Lyu; Ruoxi Jia Understanding Impacts of Task Similarity on Backdoor Attack and Detection. (2%)Di Tang; Rui Zhu; XiaoFeng Wang; Haixu Tang; Yi Chen When are Local Queries Useful for Robust Learning? (1%)Pascale Gourdeau; Varun Kanade; Marta Kwiatkowska; James Worrell 2022-10-11 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? (99%)Nikolaos Tsilivis; Julia Kempe Stable and Efficient Adversarial Training through Local Linearization. (91%)Zhuorong Li; Daiwei Yu RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. (86%)Alberto Marchisio; Vojtech Mrazek; Andrea Massa; Beatrice Bussolino; Maurizio Martina; Muhammad Shafique Adversarial Attack Against Image-Based Localization Neural Networks. (78%)Meir Brand; Itay Naeh; Daniel Teitelman Detecting Backdoors in Deep Text Classifiers. (76%)You Guo; Jun Wang; Trevor Cohn Human Body Measurement Estimation with Adversarial Augmentation. (33%)Nataniel Ruiz; Miriam Bellver; Timo Bolkart; Ambuj Arora; Ming C. Lin; Javier Romero; Raja Bala Curved Representation Space of Vision Transformers. (10%)Juyeop Kim; Junha Park; Songkuk Kim; Jong-Seok Lee Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. (1%)Vazelhes William de; Hualin Zhang; Huimin Wu; Xiao-Tong Yuan; Bin Gu Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach. (1%)Peng Mi; Li Shen; Tianhe Ren; Yiyi Zhou; Xiaoshuai Sun; Rongrong Ji; Dacheng Tao 2022-10-10 Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization. (92%)Ziquan Liu; Antoni B. Chan Revisiting adapters with adversarial training. (88%)Sylvestre-Alvise Rebuffi; Francesco Croce; Sven Gowal Universal Adversarial Perturbations: Efficiency on a small image dataset. (81%)Waris ENSEIRB-MATMECA, UB Radji Certified Training: Small Boxes are All You Need. (22%)Mark Niklas Müller; Franziska Eckert; Marc Fischer; Martin Vechev Denoising Masked AutoEncoders Help Robust Classification. (1%)Quanlin Wu; Hang Ye; Yuntian Gu; Huishuai Zhang; Liwei Wang; Di He 2022-10-09 Pruning Adversarially Robust Neural Networks without Adversarial Examples. (99%)Tong Jian; Zifeng Wang; Yanzhi Wang; Jennifer Dy; Stratis Ioannidis Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective. (99%)Yao Zhu; Yuefeng Chen; Xiaodan Li; Kejiang Chen; Yuan He; Xiang Tian; Bolun Zheng; Yaowu Chen; Qingming Huang Online Training Through Time for Spiking Neural Networks. (1%)Mingqing Xiao; Qingyan Meng; Zongpeng Zhang; Di He; Zhouchen Lin 2022-10-08 FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems. (99%)Jiahui Chen; Yi Zhao; Qi Li; Xuewei Feng; Ke Xu Symmetry Defense Against CNN Adversarial Perturbation Attacks. (99%)Blerta Lindqvist Robustness of Unsupervised Representation Learning without Labels. (54%)Aleksandar Petrov; Marta Kwiatkowska 2022-10-07 Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs. (99%)Prashant Pandey; Aleti Vardhan; Mustafa Chasmai; Tanuj Sur; Brejesh Lall Pre-trained Adversarial Perturbations. (99%)Yuanhao Ban; Yinpeng Dong ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. (93%)Yinpeng Dong; Shouwei Ruan; Hang Su; Caixin Kang; Xingxing Wei; Jun Zhu Game-Theoretic Understanding of Misclassification. (47%)Kosuke Sumiyasu; Kazuhiko Kawamoto; Hiroshi Kera A2: Efficient Automated Attacker for Boosting Adversarial Training. (41%)Zhuoer Xu; Guanghui Zhu; Changhua Meng; Shiwen Cui; Zhenzhe Ying; Weiqiang Wang; Ming GU; Yihua Huang NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems. (13%)Simin Chen; Cong Liu; Mirazul Haque; Zihe Song; Wei Yang Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. (9%)Chen Gong; Zhou Yang; Yunpeng Bai; Junda He; Jieke Shi; Arunesh Sinha; Bowen Xu; Xinwen Hou; Guoliang Fan; David Lo A Wolf in Sheep's Clothing: Spreading Deadly Pathogens Under the Disguise of Popular Music. (2%)Anomadarshi Barua; Yonatan Gizachew Achamyeleh; Mohammad Abdullah Al Faruque Improving Fine-Grain Segmentation via Interpretable Modifications: A Case Study in Fossil Segmentation. (1%)Indu Panigrahi; Ryan Manzuk; Adam Maloof; Ruth Fong 2022-10-06 Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems. (99%)Chawin Sitawarin; Florian Tramèr; Nicholas Carlini Enhancing Code Classification by Mixup-Based Data Augmentation. (96%)Zeming Dong; Qiang Hu; Yuejun Guo; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection. (92%)Rizwan Hamid Randhawa; Nauman Aslam; Mohammad Alauthman; Muhammad Khalid; Husnain Rafiq On Optimal Learning Under Targeted Data Poisoning. (82%)Steve Hanneke; Amin Karbasi; Mohammad Mahmoody; Idan Mehalel; Shay Moran Towards Out-of-Distribution Adversarial Robustness. (73%)Adam Ibrahim; Charles Guille-Escuret; Ioannis Mitliagkas; Irina Rish; David Krueger; Pouya Bashivan InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples. (61%)Venelin Kovatchev; Mariona Taulé Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup. (41%)Huimin Zeng; Zhenrui Yue; Ziyi Kou; Lanyu Shang; Yang Zhang; Dong Wang Synthetic Dataset Generation for Privacy-Preserving Machine Learning. (2%)Efstathia Soufleri; Gobinda Saha; Kaushik Roy Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. (1%)Zeming Dong; Qiang Hu; Yuejun Guo; Maxime Cordy; Mike Papadakis; Yves Le Traon; Jianjun Zhao Bad Citrus: Reducing Adversarial Costs with Model Distances. (1%)Giorgio Severi; Will Pearce; Alina Oprea 2022-10-05 Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks. (99%)Shengming Yuan; Qilong Zhang; Lianli Gao; Yaya Cheng; Jingkuan Song Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks. (98%)Qi Peng; Wenlin Liu; Ruoxi Qin; Libin Hou; Bin Yan; Linyuan Wang On Adversarial Robustness of Deep Image Deblurring. (83%)Kanchana Vaishnavi Gandikota; Paramanand Chandramouli; Michael Moeller A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition. (81%)Luke Rowe; Benjamin Thérien; Krzysztof Czarnecki; Hongyang Zhang Jitter Does Matter: Adapting Gaze Estimation to New Domains. (78%)Ruicong Liu; Yiwei Bao; Mingjie Xu; Haofei Wang; Yunfei Liu; Feng Lu Image Masking for Robust Self-Supervised Monocular Depth Estimation. (38%)Hemang Chawla; Kishaan Jeeveswaran; Elahe Arani; Bahram Zonooz Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations. (38%)Jialing Liao; Zheng Chen; Erik G. Larsson 2022-10-04 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective. (97%)Bohang Zhang; Du Jiang; Di He; Liwei Wang Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. (93%)Anshuman Chhabra; Peizhao Li; Prasant Mohapatra; Hongfu Liu A Study on the Efficiency and Generalization of Light Hybrid Retrievers. (86%)Man Luo; Shashank Jain; Anchit Gupta; Arash Einolghozati; Barlas Oguz; Debojeet Chatterjee; Xilun Chen; Chitta Baral; Peyman Heidari Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models. (81%)Fan Liu; Hao Liu; Wenzhao Jiang Invariant Aggregator for Defending Federated Backdoor Attacks. (80%)Xiaoyang Wang; Dimitrios Dimitriadis; Sanmi Koyejo; Shruti Tople On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses. (75%)Anshuman Chhabra; Ashwin Sekhari; Prasant Mohapatra Robustness Certification of Visual Perception Models via Camera Motion Smoothing. (70%)Hanjiang Hu; Zuxin Liu; Linyi Li; Jiacheng Zhu; Ding Zhao Backdoor Attacks in the Supply Chain of Masked Image Modeling. (68%)Xinyue Shen; Xinlei He; Zheng Li; Yun Shen; Michael Backes; Yang Zhang CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. (67%)Charles Guille-Escuret; Pau Rodriguez; David Vazquez; Ioannis Mitliagkas; Joao Monteiro 2022-10-03 MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples. (99%)Jinyuan Jia; Wenjie Qu; Neil Zhenqiang Gong Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection. (97%)Xuanjun Chen; Haibin Wu; Helen Meng; Hung-yi Lee; Jyh-Shing Roger Jang Stability Analysis and Generalization Bounds of Adversarial Training. (96%)Jiancong Xiao; Yanbo Fan; Ruoyu Sun; Jue Wang; Zhi-Quan Luo On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks. (92%)Huimin Zeng; Zhenrui Yue; Yang Zhang; Ziyi Kou; Lanyu Shang; Dong Wang Decompiling x86 Deep Neural Network Executables. (83%)Zhibo Liu; Yuanyuan Yuan; Shuai Wang; Xiaofei Xie; Lei Ma Strength-Adaptive Adversarial Training. (80%)Chaojian Yu; Dawei Zhou; Li Shen; Jun Yu; Bo Han; Mingming Gong; Nannan Wang; Tongliang Liu ASGNN: Graph Neural Networks with Adaptive Structure. (68%)Zepeng Zhang; Songtao Lu; Zengfeng Huang; Ziping Zhao UnGANable: Defending Against GAN-based Face Manipulation. (2%)Zheng Li; Ning Yu; Ahmed Salem; Michael Backes; Mario Fritz; Yang Zhang 2022-10-02 Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. (99%)Jiancong Xiao; Zeyu Qin; Yanbo Fan; Baoyuan Wu; Jue Wang; Zhi-Quan Luo Understanding Adversarial Robustness Against On-manifold Adversarial Examples. (99%)Jiancong Xiao; Liusha Yang; Yanbo Fan; Jue Wang; Zhi-Quan Luo FLCert: Provably Secure Federated Learning against Poisoning Attacks. (74%)Xiaoyu Cao; Zaixi Zhang; Jinyuan Jia; Neil Zhenqiang Gong Optimization for Robustness Evaluation beyond $\ell_p$ Metrics. (16%)Hengyue Liang; Buyun Liang; Ying Cui; Tim Mitchell; Ju Sun Automated Security Analysis of Exposure Notification Systems. (1%)Kevin Morio; Ilkan Esiyok; Dennis Jackson; Robert Künnemann 2022-10-01 DeltaBound Attack: Efficient decision-based attack in low queries regime. (96%)Lorenzo Rossi Adversarial Attacks on Transformers-Based Malware Detectors. (91%)Yash Jakhotiya; Heramb Patil; Jugal Rawlani; Dr. Sunil B. Mane Voice Spoofing Countermeasures: Taxonomy, State-of-the-art, experimental analysis of generalizability, open challenges, and the way forward. (5%)Awais Khan; Khalid Mahmood Malik; James Ryan; Mikul Saravanan 2022-09-30 Your Out-of-Distribution Detection Method is Not Robust! (99%)Mohammad Azizmalayeri; Arshia Soltani Moakhar; Arman Zarei; Reihaneh Zohrabi; Mohammad Taghi Manzuri; Mohammad Hossein Rohban Learning Robust Kernel Ensembles with Kernel Average Pooling. (99%)Pouya Bashivan; Adam Ibrahim; Amirozhan Dehghani; Yifei Ren Adversarial Robustness of Representation Learning for Knowledge Graphs. (95%)Peru Bhardwaj Hiding Visual Information via Obfuscating Adversarial Perturbations. (92%)Zhigang Su; Dawei Zhou; Nannan Wangu; Decheng Li; Zhen Wang; Xinbo Gao On the tightness of linear relaxation based robustness certification methods. (78%)Cheng Tang Data Poisoning Attacks Against Multimodal Encoders. (73%)Ziqing Yang; Xinlei He; Zheng Li; Michael Backes; Mathias Humbert; Pascal Berrang; Yang Zhang ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. (70%)Tim Clifford; Ilia Shumailov; Yiren Zhao; Ross Anderson; Robert Mullins 2022-09-29 Physical Adversarial Attack meets Computer Vision: A Decade Survey. (99%)Hui Wei; Hao Tang; Xuemei Jia; Zhixiang Wang; Hanxun Yu; Zhubo Li; Shin'ichi Satoh; Gool Luc Van; Zheng Wang Towards Lightweight Black-Box Attacks against Deep Neural Networks. (99%)Chenghao Sun; Yonggang Zhang; Wan Chaoqun; Qizhou Wang; Ya Li; Tongliang Liu; Bo Han; Xinmei Tian Generalizability of Adversarial Robustness Under Distribution Shifts. (83%)Kumail Alhamoud; Hasan Abed Al Kader Hammoud; Motasem Alfarra; Bernard Ghanem Digital and Physical Face Attacks: Reviewing and One Step Further. (2%)Chenqi Kong; Shiqi Wang; Haoliang Li Chameleon Cache: Approximating Fully Associative Caches with Random Replacement to Prevent Contention-Based Cache Attacks. (1%)Thomas Unterluggauer; Austin Harris; Scott Constable; Fangfei Liu; Carlos Rozas 2022-09-28 A Survey on Physical Adversarial Attack in Computer Vision. (99%)Donghua Wang; Wen Yao; Tingsong Jiang; Guijian Tang; Xiaoqian Chen Exploring the Relationship between Architecture and Adversarially Robust Generalization. (99%)Aishan Liu; Shiyu Tang; Siyuan Liang; Ruihao Gong; Boxi Wu; Xianglong Liu; Dacheng Tao A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks. (67%)Kevin Hector; Mathieu Dumont; Pierre-Alain Moellic; Jean-Max Dutertre Supervised Contrastive Learning as Multi-Objective Optimization for Fine-Tuning Large Pre-trained Language Models. (47%)Youness Moukafih; Mounir Ghogho; Kamel Smaili On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach. (31%)Marco Anisetti; Claudio A. Ardagna; Alessandro Balestrucci; Nicola Bena; Ernesto Damiani; Chan Yeob Yeun CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention. (1%)Ziyu Guo; Renrui Zhang; Longtian Qiu; Xianzheng Ma; Xupeng Miao; Xuming He; Bin Cui Improving alignment of dialogue agents via targeted human judgements. (1%)Amelia Glaese; Nat McAleese; Maja Trębacz; John Aslanides; Vlad Firoiu; Timo Ewalds; Maribeth Rauh; Laura Weidinger; Martin Chadwick; Phoebe Thacker; Lucy Campbell-Gillingham; Jonathan Uesato; Po-Sen Huang; Ramona Comanescu; Fan Yang; Abigail See; Sumanth Dathathri; Rory Greig; Charlie Chen; Doug Fritz; Jaume Sanchez Elias; Richard Green; Soňa Mokrá; Nicholas Fernando; Boxi Wu; Rachel Foley; Susannah Young; Iason Gabriel; William Isaac; John Mellor; Demis Hassabis; Koray Kavukcuoglu; Lisa Anne Hendricks; Geoffrey Irving 2022-09-27 Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection. (74%)Svetlana Pavlitskaya; Jonas Hendl; Sebastian Kleim; Leopold Müller; Fabian Wylczoch; J. Marius Zöllner Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training. (33%)Saehyung Lee; Hyungyu Lee Attacking Compressed Vision Transformers. (33%)Swapnil Parekh; Devansh Shah; Pratyush Shukla Mitigating Attacks on Artificial Intelligence-based Spectrum Sensing for Cellular Network Signals. (8%)Ferhat Ozgur Catak; Murat Kuzlu; Salih Sarp; Evren Catak; Umit Cali Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. (5%)Yiming Li; Yang Bai; Yong Jiang; Yong Yang; Shu-Tao Xia; Bo Li Reconstruction-guided attention improves the robustness and shape processing of neural networks. (2%)Seoyoung Ahn; Hossein Adeli; Gregory J. Zelinsky A Learning-based Honeypot Game for Collaborative Defense in UAV Networks. (1%)Yuntao Wang; Zhou Su; Abderrahim Benslimane; Qichao Xu; Minghui Dai; Ruidong Li Stability Via Adversarial Training of Neural Network Stochastic Control of Mean-Field Type. (1%)Julian Barreiro-Gomez; Salah Eddine Choutri; Boualem Djehiche Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise. (1%)Svetlana Pavlitskaya; Joël Oswald; J. Marius Zöllner 2022-09-26 FG-UAP: Feature-Gathering Universal Adversarial Perturbation. (99%)Zhixing Ye; Xinwen Cheng; Xiaolin Huang Activation Learning by Local Competitions. (64%)Hongchao Zhou Multi-Task Adversarial Training Algorithm for Multi-Speaker Neural Text-to-Speech. (1%)Yusuke Nakai; Yuki Saito; Kenta Udagawa; Hiroshi Saruwatari Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification. (1%)Adrien Bennetot; Gianni Franchi; Ser Javier Del; Raja Chatila; Natalia Diaz-Rodriguez 2022-09-25 SPRITZ-1.5C: Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks. (81%)Ehsan Nowroozi; Mohammadreza Mohammadi; Erkay Savas; Mauro Conti; Yassine Mekdad 2022-09-24 Approximate better, Attack stronger: Adversarial Example Generation via Asymptotically Gaussian Mixture Distribution. (99%)Zhengwei Fang; Rui Wang; Tao Huang; Liping Jing 2022-09-23 The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices. (13%)Wanlun Ma; Derui Wang; Ruoxi Sun; Minhui Xue; Sheng Wen; Yang Xiang 2022-09-22 Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models. (50%)Sohaib Ahmad; Benjamin Fuller; Kaleel Mahmood 2022-09-21 Fair Robust Active Learning by Joint Inconsistency. (99%)Tsung-Han Wu; Shang-Tse Chen; Winston H. Hsu Toy Models of Superposition. (45%)Nelson Elhage; Tristan Hume; Catherine Olsson; Nicholas Schiefer; Tom Henighan; Shauna Kravec; Zac Hatfield-Dodds; Robert Lasenby; Dawn Drain; Carol Chen; Roger Grosse; Sam McCandlish; Jared Kaplan; Dario Amodei; Martin Wattenberg; Christopher Olah DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions. (13%)Xuhong Ren; Jianlang Chen; Felix Juefei-Xu; Wanli Xue; Qing Guo; Lei Ma; Jianjun Zhao; Shengyong Chen Fairness Reprogramming. (1%)Guanhua Zhang; Yihua Zhang; Yang Zhang; Wenqi Fan; Qing Li; Sijia Liu; Shiyu Chang 2022-09-20 Understanding Real-world Threats to Deep Learning Models in Android Apps. (99%)Zizhuang Deng; Kai Chen; Guozhu Meng; Xiaodong Zhang; Ke Xu; Yao Cheng Audit and Improve Robustness of Private Neural Networks on Encrypted Data. (99%)Jiaqi Xue; Lei Xu; Lin Chen; Weidong Shi; Kaidi Xu; Qian Lou GAMA: Generative Adversarial Multi-Object Scene Attacks. (99%)Abhishek Aich; Calvin-Khang Ta; Akash Gupta; Chengyu Song; Srikanth V. Krishnamurthy; M. Salman Asif; Amit K. Roy-Chowdhury Sparse Vicious Attacks on Graph Neural Networks. (98%)Giovanni Trappolini; Valentino Maiorca; Silvio Severino; Emanuele Rodolà; Fabrizio Silvestri; Gabriele Tolomei Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks. (98%)Abhishek Aich; Shasha Li; Chengyu Song; M. Salman Asif; Srikanth V. Krishnamurthy; Amit K. Roy-Chowdhury Rethinking Data Augmentation in Knowledge Distillation for Object Detection. (68%)Jiawei Liang; Siyuan Liang; Aishan Liu; Mingli Zhu; Danni Yuan; Chenye Xu; Xiaochun Cao CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks. (1%)Alvise de Faveri Tron; Stefano Longari; Michele Carminati; Mario Polino; Stefano Zanero EM-Fault It Yourself: Building a Replicable EMFI Setup for Desktop and Server Hardware. (1%)Niclas Kühnapfel; Robert Buhren; Hans Niklas Jacob; Thilo Krachenfels; Christian Werling; Jean-Pierre Seifert 2022-09-19 Adversarial Catoptric Light: An Effective, Stealthy and Robust Physical-World Attack to DNNs. (99%)Chengyin Hu; Weiwen Shi Adversarial Color Projection: A Projector-Based Physical Attack to DNNs. (99%)Chengyin Hu; Weiwen Shi 2022-09-18 On the Adversarial Transferability of ConvMixer Models. (99%)Ryota Iijima; Miki Tanaka; Isao Echizen; Hitoshi Kiya AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. (96%)Yulong Cao; Chaowei Xiao; Anima Anandkumar; Danfei Xu; Marco Pavone Distribution inference risks: Identifying and mitigating sources of leakage. (1%)Valentin Hartmann; Léo Meynent; Maxime Peyrard; Dimitrios Dimitriadis; Shruti Tople; Robert West 2022-09-17 Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models. (99%)Raphael Olivier; Hadi Abdullah; Bhiksha Raj Characterizing Internal Evasion Attacks in Federated Learning. (98%)Taejin Kim; Shubhranshu Singh; Nikhil Madaan; Carlee Joe-Wong A study on the deviations in performance of FNNs and CNNs in the realm of grayscale adversarial images. (4%)Durga Shree Nagabushanam; Steve Mathew; Chiranji Lal Chowdhary 2022-09-16 Robust Ensemble Morph Detection with Domain Generalization. (99%)Hossein Kashiani; Shoaib Meraj Sami; Sobhan Soleymani; Nasser M. Nasrabadi A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. (99%)Siyuan Liang; Longkang Li; Yanbo Fan; Xiaojun Jia; Jingzhi Li; Baoyuan Wu; Xiaochun Cao Enhance the Visual Representation via Discrete Adversarial Training. (97%)Xiaofeng Mao; Yuefeng Chen; Ranjie Duan; Yao Zhu; Gege Qi; Shaokai Ye; Xiaodan Li; Rong Zhang; Hui Xue Model Inversion Attacks against Graph Neural Networks. (92%)Zaixi Zhang; Qi Liu; Zhenya Huang; Hao Wang; Chee-Kong Lee; Enhong Chen PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition. (62%)Qidong Huang; Xiaoyi Dong; Dongdong Chen; Hang Zhou; Weiming Zhang; Kui Zhang; Gang Hua; Nenghai Yu Cascading Failures in Power Grids. (33%)Rounak Meyur Dataset Inference for Self-Supervised Models. (16%)Adam Dziedzic; Haonan Duan; Muhammad Ahmad Kaleem; Nikita Dhawan; Jonas Guan; Yannis Cattan; Franziska Boenisch; Nicolas Papernot On the Robustness of Graph Neural Diffusion to Topology Perturbations. (15%)Yang Song; Qiyu Kang; Sijie Wang; Zhao Kai; Wee Peng Tay A Systematic Evaluation of Node Embedding Robustness. (11%)Alexandru Mara; Jefrey Lijffijt; Stephan Günnemann; Bie Tijl De 2022-09-15 Improving Robust Fairness via Balance Adversarial Training. (99%)Chunyu Sun; Chenye Xu; Chengyuan Yao; Siyuan Liang; Yichao Wu; Ding Liang; XiangLong Liu; Aishan Liu A Light Recipe to Train Robust Vision Transformers. (98%)Edoardo Debenedetti; Vikash Sehwag; Prateek Mittal Part-Based Models Improve Adversarial Robustness. (92%)Chawin Sitawarin; Kornrapat Pongmala; Yizheng Chen; Nicholas Carlini; David Wagner Explicit Tradeoffs between Adversarial and Natural Distributional Robustness. (80%)Mazda Moayeri; Kiarash Banihashem; Soheil Feizi Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization. (80%)Omar Montasser; Steve Hanneke; Nathan Srebro Defending Root DNS Servers Against DDoS Using Layered Defenses. (15%)A S M Rizvi; Jelena Mirkovic; John Heidemann; Wesley Hardaker; Robert Story BadRes: Reveal the Backdoors through Residual Connection. (2%)Mingrui He; Tianyu Chen; Haoyi Zhou; Shanghang Zhang; Jianxin Li Adversarial Cross-View Disentangled Graph Contrastive Learning. (1%)Qianlong Wen; Zhongyu Ouyang; Chunhui Zhang; Yiyue Qian; Yanfang Ye; Chuxu Zhang Towards Improving Calibration in Object Detection Under Domain Shift. (1%)Muhammad Akhtar Munir; Muhammad Haris Khan; M. Saquib Sarfraz; Mohsen Ali 2022-09-14 Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries. (99%)Alexander Cann; Ian Colbert; Ihab Amer PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack. (99%)Junxuan Huang; Yatong An; Lu cheng; Bai Chen; Junsong Yuan; Chunming Qiao Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. (99%)Chen Wu; Ruqing Zhang; Jiafeng Guo; Wei Chen; Yixing Fan; Rijke Maarten de; Xueqi Cheng Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. (97%)Jiawei Liu; Yangyang Kang; Di Tang; Kaisong Song; Changlong Sun; Xiaofeng Wang; Wei Lu; Xiaozhong Liu On the interplay of adversarial robustness and architecture components: patches, convolution and attention. (67%)Francesco Croce; Matthias Hein M^4I: Multi-modal Models Membership Inference. (54%)Pingyi Hu; Zihan Wang; Ruoxi Sun; Hu Wang; Minhui Xue Finetuning Pretrained Vision-Language Models with Correlation Information Bottleneck for Robust Visual Question Answering. (12%)Jingjing Jiang; Ziyi Liu; Nanning Zheng Robust Constrained Reinforcement Learning. (9%)Yue Wang; Fei Miao; Shaofeng Zou 2022-09-13 Adversarial Coreset Selection for Efficient Robust Training. (99%)Hadi M. Dolatabadi; Sarah Erfani; Christopher Leckie TSFool: Crafting High-quality Adversarial Time Series through Multi-objective Optimization to Fool Recurrent Neural Network Classifiers. (99%)Yanyun Wang; Dehui Du; Yuanhao Liu PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models. (92%)William Hackett; Stefan Trawicki; Zhengxin Yu; Neeraj Suri; Peter Garraghan Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. (78%)Maksym Yatsura; Kaspar Sakmann; N. Grace Hua; Matthias Hein; Jan Hendrik Metzen Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. (68%)Hussain Hussain; Meng Cao; Sandipan Sikdar; Denis Helic; Elisabeth Lex; Markus Strohmaier; Roman Kern ADMM based Distributed State Observer Design under Sparse Sensor Attacks. (22%)Vinaya Mary Prinse; Rachel Kalpana Kalaimani A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. (15%)Ke Ma; Qianqian Xu; Jinshan Zeng; Guorong Li; Xiaochun Cao; Qingming Huang Defense against Privacy Leakage in Federated Learning. (12%)Jing Wu; Munawar Hayat; Mingyi Zhou; Mehrtash Harandi Federated Learning based on Defending Against Data Poisoning Attacks in IoT. (1%)Jiayin Li; Wenzhong Guo; Xingshuo Han; Jianping Cai; Ximeng Liu 2022-09-12 Adaptive Perturbation Generation for Multiple Backdoors Detection. (95%)Yuhang Wang; Huafeng Shi; Rui Min; Ruijia Wu; Siyuan Liang; Yichao Wu; Ding Liang; Aishan Liu CARE: Certifiably Robust Learning with Reasoning via Variational Inference. (75%)Jiawei Zhang; Linyi Li; Ce Zhang; Bo Li Sample Complexity of an Adversarial Attack on UCB-based Best-arm Identification Policy. (69%)Varsha Pendyala Boosting Robustness Verification of Semantic Feature Neighborhoods. (54%)Anan Kabaha; Dana Drachsler-Cohen Semantic-Preserving Adversarial Code Comprehension. (1%)Yiyang Li; Hongqiu Wu; Hai Zhao Holistic Segmentation. (1%)Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Nassir Navab; Benjamin Busam; Federico Tombari Class-Level Logit Perturbation. (1%)Mengyang Li; Fengguang Su; Ou Wu; Ji Zhang 2022-09-11 Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization. (99%)Ehsan Nowroozi; Mohammadreza Mohammadi; Pargol Golmohammadi; Yassine Mekdad; Mauro Conti; Selcuk Uluagac Generate novel and robust samples from data: accessible sharing without privacy concerns. (5%)David Banh; Alan Huang 2022-09-10 Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense. (99%)Bowen Peng; Bo Peng; Jie Zhou; Jianyue Xie; Li Liu 2022-09-09 The Space of Adversarial Strategies. (99%)Ryan Sheatsley; Blaine Hoak; Eric Pauley; Patrick McDaniel Defend Data Poisoning Attacks on Voice Authentication. (54%)Ke Li; Cameron Baird; Dan Lin Robust-by-Design Classification via Unitary-Gradient Neural Networks. (41%)Fabio Brau; Giulio Rossolini; Alessandro Biondi; Giorgio Buttazzo Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled Membership Inference. (10%)Hanzhou Wu Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. (1%)Xin Li; Yao Qiang; Chengyin Li; Sijia Liu; Dongxiao Zhu 2022-09-08 Incorporating Locality of Images to Generate Targeted Transferable Adversarial Examples. (99%)Zhipeng Wei; Jingjing Chen; Zuxuan Wu; Yu-Gang Jiang Evaluating the Security of Aircraft Systems. (92%)Edan Habler; Ron Bitton; Asaf Shabtai Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. (62%)Chulin Xie; Yunhui Long; Pin-Yu Chen; Qinbin Li; Sanmi Koyejo; Bo Li A Survey of Recent Advances in Deep Learning Models for Detecting Malware in Desktop and Mobile Platforms. (1%)Pascal Maniriho; Abdun Naser Mahmood; Mohammad Jabed Morshed Chowdhury FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. (1%)Minxue Tang; Jianyi Zhang; Mingyuan Ma; Louis DiValentin; Aolin Ding; Amin Hassanzadeh; Hai Li; Yiran Chen 2022-09-07 On the Transferability of Adversarial Examples between Encrypted Models. (99%)Miki Tanaka; Isao Echizen; Hitoshi Kiya Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. (99%)Nuo Xu; Kaleel Mahmood; Haowen Fang; Ethan Rathbun; Caiwen Ding; Wujie Wen Reward Delay Attacks on Deep Reinforcement Learning. (70%)Anindya Sarkar; Jiarui Feng; Yevgeniy Vorobeychik; Christopher Gill; Ning Zhang Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. (47%)Sahar Abdelnabi; Mario Fritz Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots. (15%)Wai Man Si; Michael Backes; Jeremy Blackburn; Cristofaro Emiliano De; Gianluca Stringhini; Savvas Zannettou; Yand Zhang Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. (1%)Houssem Ben Braiek; Thomas Reid; Foutse Khomh Hardware faults that matter: Understanding and Estimating the safety impact of hardware faults on object detection DNNs. (1%)Syed Qutub; Florian Geissler; Yang Peng; Ralf Grafe; Michael Paulitsch; Gereon Hinz; Alois Knoll MalDetConv: Automated Behaviour-based Malware Detection Framework Based on Natural Language Processing and Deep Learning Techniques. (1%)Pascal Maniriho; Abdun Naser Mahmood; Mohammad Jabed Morshed Chowdhury 2022-09-06 Instance Attack:An Explanation-based Vulnerability Analysis Framework Against DNNs for Malware Detection. (99%)Sun RuiJin; Guo ShiZe; Guo JinHong; Xing ChangYou; Yang LuMing; Guo Xi; Pan ZhiSong Bag of Tricks for FGSM Adversarial Training. (96%)Zichao Li; Li Liu; Zeyu Wang; Yuyin Zhou; Cihang Xie Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation. (82%)Koki Mukai; Soichiro Kumano; Toshihiko Yamasaki Defending Against Backdoor Attack on Graph Nerual Network by Explainability. (80%)Bingchen Jiang; Zhao Li MACAB: Model-Agnostic Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-World. (56%)Hua Ma; Yinshan Li; Yansong Gao; Zhi Zhang; Alsharif Abuadbba; Anmin Fu; Said F. Al-Sarawi; Nepal Surya; Derek Abbott Multimodal contrastive learning for remote sensing tasks. (1%)Umangi Jain; Alex Wilson; Varun Gulshan Annealing Optimization for Progressive Learning with Stochastic Approximation. (1%)Christos Mavridis; John Baras Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps. (1%)Alireza Ganjdanesh; Shangqian Gao; Heng Huang A Survey of Machine Unlearning. (1%)Thanh Tam Nguyen; Thanh Trung Huynh; Phi Le Nguyen; Alan Wee-Chung Liew; Hongzhi Yin; Quoc Viet Hung Nguyen 2022-09-05 Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples. (98%)Hezekiah J. Branch; Jonathan Rodriguez Cefalu; Jeremy McHugh; Leyla Hujer; Aditya Bahl; Daniel del Castillo Iglesias; Ron Heichman; Ramesh Darwishi White-Box Adversarial Policies in Deep Reinforcement Learning. (98%)Stephen Casper; Taylor Killian; Gabriel Kreiman; Dylan Hadfield-Menell "Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution. (69%)Yuyou Gan; Yuhao Mao; Xuhong Zhang; Shouling Ji; Yuwen Pu; Meng Han; Jianwei Yin; Ting Wang Adversarial Detection: Attacking Object Detection in Real Time. (64%)Han Wu; Syed Yunas; Sareh Rowlands; Wenjie Ruan; Johan Wahlstrom PromptAttack: Prompt-based Attack for Language Models via Gradient Search. (16%)Yundi Shi; Piji Li; Changchun Yin; Zhaoyang Han; Lu Zhou; Zhe Liu Federated Zero-Shot Learning for Visual Recognition. (2%)Zhi Chen; Yadan Luo; Sen Wang; Jingjing Li; Zi Huang Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training. (2%)Derek Everett; Andre T. Nguyen; Luke E. Richards; Edward Raff 2022-09-04 An Adaptive Black-box Defense against Trojan Attacks (TrojDef). (98%)Guanxiong Liu; Abdallah Khreishah; Fatima Sharadgah; Issa Khalil Hide & Seek: Seeking the (Un)-Hidden key in Provably-Secure Logic Locking Techniques. (11%)Satwik Patnaik; Nimisha Limaye; Ozgur Sinanoglu Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles. (1%)Ayoosh Bansal; Simon Yu; Hunmin Kim; Bo Li; Naira Hovakimyan; Marco Caccamo; Lui Sha 2022-09-02 Adversarial Color Film: Effective Physical-World Attack to DNNs. (98%)Chengyin Hu; Weiwen Shi Impact of Scaled Image on Robustness of Deep Neural Networks. (98%)Chengyin Hu; Weiwen Shi Property inference attack; Graph neural networks; Privacy attacks and defense; Trustworthy machine learning. (95%)Xiuling Wang; Wendy Hui Wang Impact of Colour Variation on Robustness of Deep Neural Networks. (92%)Chengyin Hu; Weiwen Shi Scalable Adversarial Attack Algorithms on Influence Maximization. (68%)Lichao Sun; Xiaobin Rui; Wei Chen Are Attribute Inference Attacks Just Imputation? (31%)Bargav Jayaraman; David Evans Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? (9%)Yue Liu; Chakkrit Tantithamthavorn; Li Li; Yepang Liu Revisiting Outer Optimization in Adversarial Training. (5%)Ali Dabouei; Fariborz Taherkhani; Sobhan Soleymani; Nasser M. Nasrabadi 2022-09-01 Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage. (98%)Jiangli Shao; Yongqing Wang; Boshen Shi; Hao Gao; Huawei Shen; Xueqi Cheng Universal Fourier Attack for Time Series. (12%)Elizabeth Coda; Brad Clymer; Chance DeSmet; Yijing Watkins; Michael Girard 2022-08-31 Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning. (99%)Zhiyuan He; Yijun Yang; Pin-Yu Chen; Qiang Xu; Tsung-Yi Ho Unrestricted Adversarial Samples Based on Non-semantic Feature Clusters Substitution. (99%)MingWei Zhou; Xiaobing Pei Membership Inference Attacks by Exploiting Loss Trajectory. (70%)Yiyong Liu; Zhengyu Zhao; Michael Backes; Yang Zhang Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research. (13%)Zhibo Zhang; Hussam Al Hamadi; Ernesto Damiani; Chan Yeob Yeun; Fatma Taher Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. (1%)JoonHo Lee; Gyemin Lee Vulnerability of Distributed Inverter VAR Control in PV Distributed Energy System. (1%)Bo Tu; Wen-Tai Li; Chau Yuen MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation. (1%)Nitzan Avidan; Moti Freiman 2022-08-30 A Black-Box Attack on Optical Character Recognition Systems. (99%)Samet Bayram; Kenneth Barner Robustness and invariance properties of image classifiers. (99%)Apostolos Modas Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers. (1%)Fangqi Li; Shilin Wang; Yun Zhu Constraining Representations Yields Models That Know What They Don't Know. (1%)Joao Monteiro; Pau Rodriguez; Pierre-Andre Noel; Issam Laradji; David Vazquez 2022-08-29 Towards Adversarial Purification using Denoising AutoEncoders. (99%)Dvij Kalaria; Aritra Hazra; Partha Pratim Chakrabarti Reducing Certified Regression to Certified Classification for General Poisoning Attacks. (54%)Zayd Hammoudeh; Daniel Lowd Interpreting Black-box Machine Learning Models for High Dimensional Datasets. (1%)Md. Rezaul Karim; Md. Shajalal; Alex Graß; Till Döhmen; Sisay Adugna Chala; Christian Beecks; Stefan Decker 2022-08-28 Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. (99%)Yinghua Zhang; Yangqiu Song; Kun Bai; Qiang Yang 2022-08-27 Adversarial Robustness for Tabular Data through Cost and Utility Awareness. (99%)Klim Kireev; Bogdan Kulynych; Carmela Troncoso SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing. (99%)Deng JiaCheng; Dong Li; Yan Diqun; Wang Rangding; Zeng Jiaming TrojViT: Trojan Insertion in Vision Transformers. (15%)Mengxin Zheng; Qian Lou; Lei Jiang Overparameterized (robust) models from computational constraints. (13%)Sanjam Garg; Somesh Jha; Saeed Mahloujifar; Mohammad Mahmoody; Mingyuan Wang RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems. (1%)Emna Baccour; Aiman Erbad; Amr Mohamed; Mounir Hamdi; Mohsen Guizani 2022-08-26 What Does the Gradient Tell When Attacking the Graph Structure. (69%)Zihan Liu; Ge Wang; Yun Luo; Stan Z. Li Network-Level Adversaries in Federated Learning. (54%)Giorgio Severi; Matthew Jagielski; Gökberk Yar; Yuxuan Wang; Alina Oprea; Cristina Nita-Rotaru ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning. (45%)Vasudev JV Gohil; Hao JV Guo; Satwik JV Patnaik; JV Jeyavijayan; Rajendran Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training. (4%)Zihui Wu; Haichang Gao; Bingqian Zhou; Xiaoyan Guo; Shudong Zhang 2022-08-25 Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm. (99%)Xinyi Wang; Simon Yusuf Enoch; Dong Seong Kim SNAP: Efficient Extraction of Private Properties with Poisoning. (89%)Harsh Chaudhari; John Abascal; Alina Oprea; Matthew Jagielski; Florian Tramèr; Jonathan Ullman FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. (78%)Lichen Jia; Bowen Tang; Chenggang Wu; Zhe Wang; Zihan Jiang; Yuanming Lai; Yan Kang; Ning Liu; Jingfeng Zhang Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs. (31%)Prashant Pandey; Mustafa Chasmai; Tanuj Sur; Brejesh Lall Calibrated Selective Classification. (15%)Adam Fisch; Tommi Jaakkola; Regina Barzilay XDRI Attacks - and - How to Enhance Resilience of Residential Routers. (4%)Philipp Jeitner; Haya Shulman; Lucas Teichmann; Michael Waidner FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning. (1%)Haodong Zhao; Wei Du; Fangqi Li; Peixuan Li; Gongshen Liu 2022-08-24 Attacking Neural Binary Function Detection. (99%)Joshua Bundt; Michael Davinroy; Ioannis Agadakos; Alina Oprea; William Robertson Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries. (99%)Dongbin Na; Sangwoo Ji; Jong Kim Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps. (98%)Mohammadreza Amirian; Friedhelm Schwenker; Thilo Stadelmann A Perturbation Resistant Transformation and Classification System for Deep Neural Networks. (98%)Nathaniel Dean; Dilip Sarkar Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. (92%)Qiyuan Chen; Raed Al Kontar; Maher Nouiehed; Jessie Yang; Corey Lester Bidirectional Contrastive Split Learning for Visual Question Answering. (38%)Yuwei Sun; Hideya Ochiai 2022-08-23 Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. (99%)Shahroz Tariq; Binh M. Le; Simon S. Woo Adversarial Vulnerability of Temporal Feature Networks for Object Detection. (99%)Svetlana Pavlitskaya; Nikolai Polley; Michael Weber; J. Marius Zöllner Transferability Ranking of Adversarial Examples. (99%)Mosh Levy; Yuval Elovici; Yisroel Mirsky Auditing Membership Leakages of Multi-Exit Networks. (76%)Zheng Li; Yiyong Liu; Xinlei He; Ning Yu; Michael Backes; Yang Zhang A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey. (13%)Elahe Arani; Shruthi Gowda; Ratnajit Mukherjee; Omar Magdy; Senthilkumar Kathiresan; Bahram Zonooz Robust DNN Watermarking via Fixed Embedding Weights with Optimized Distribution. (10%)Benedetta Tondi; Andrea Costanzo; Mauro Barni 2022-08-22 Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism. (99%)Yongwei Wang; Yuan Li; Zhiqi Shen Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. (98%)Simin Li; Huangxinxin Xu; Jiakai Wang; Aishan Liu; Fazhi He; Xianglong Liu; Dacheng Tao Different Spectral Representations in Optimized Artificial Neural Networks and Brains. (93%)Richard C. Gerum; Cassidy Pirlot; Alona Fyshe; Joel Zylberberg Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models. (87%)Xinlei He; Zheng Li; Weilin Xu; Cory Cornelius; Yang Zhang BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. (86%)Eugene Bykovets; Yannick Metz; Mennatallah El-Assady; Daniel A. Keim; Joachim M. Buhmann RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN. (62%)Huy Phan; Cong Shi; Yi Xie; Tianfang Zhang; Zhuohang Li; Tianming Zhao; Jian Liu; Yan Wang; Yingying Chen; Bo Yuan Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. (31%)Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun; Chen Chen Optimal Bootstrapping of PoW Blockchains. (1%)Ranvir Rana; Dimitris Karakostas; Sreeram Kannan; Aggelos Kiayias; Pramod Viswanath 2022-08-21 PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition. (99%)Jiachen Sun; Weili Nie; Zhiding Yu; Z. Morley Mao; Chaowei Xiao Inferring Sensitive Attributes from Model Explanations. (56%)Vasisht Duddu; Antoine Boutet Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning. (10%)Kerem Ozfatura; Emre Ozfatura; Alptekin Kupcu; Deniz Gunduz MockingBERT: A Method for Retroactively Adding Resilience to NLP Models. (4%)Jan Jezabek; Akash Singh NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. (1%)Yijun Tian; Chuxu Zhang; Zhichun Guo; Xiangliang Zhang; Nitesh V. Chawla A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. (1%)Chanwoo Park; Sangdoo Yun; Sanghyuk Chun 2022-08-20 Analyzing Adversarial Robustness of Vision Transformers against Spatial and Spectral Attacks. 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(92%)Vyas Raina; Mark Gales Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models. (76%)Yulong Wang; Minghui Zhao; Shenghong Li; Xin Yuan; Wei Ni A Novel Plug-and-Play Approach for Adversarially Robust Generalization. (54%)Deepak Maurya; Adarsh Barik; Jean Honorio SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. (8%)Wei Huang; Xingyu Zhao; Gaojie Jin; Xiaowei Huang UKP-SQuARE v2 Explainability and Adversarial Attacks for Trustworthy QA. (1%)Rachneet Sachdeva; Haritz Puerto; Tim Baumgärtner; Sewin Tariverdian; Hao Zhang; Kexin Wang; Hossain Shaikh Saadi; Leonardo F. R. Ribeiro; Iryna Gurevych 2022-08-18 Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries. (99%)Manaar Alam; Shubhajit Datta; Debdeep Mukhopadhyay; Arijit Mondal; Partha Pratim Chakrabarti Enhancing Targeted Attack Transferability via Diversified Weight Pruning. (99%)Hung-Jui Wang; Yu-Yu Wu; Shang-Tse Chen Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. (45%)Bahjat Kawar; Roy Ganz; Michael Elad Reverse Engineering of Integrated Circuits: Tools and Techniques. (33%)Abhijitt Dhavlle DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. (10%)Anshul Nasery; Sravanti Addepalli; Praneeth Netrapalli; Prateek Jain Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. (3%)Olivia Wiles; Isabela Albuquerque; Sven Gowal Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. (2%)Wenqiang Ruan; Mingxin Xu; Wenjing Fang; Li Wang; Lei Wang; Weili Han Profiler: Profile-Based Model to Detect Phishing Emails. (1%)Mariya Shmalko; Alsharif Abuadbba; Raj Gaire; Tingmin Wu; Hye-Young Paik; Surya Nepal 2022-08-17 Two Heads are Better than One: Robust Learning Meets Multi-branch Models. (99%)Dong Huang; Qingwen Bu; Yuhao Qing; Haowen Pi; Sen Wang; Heming Cui An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks. (99%)Raz Lapid; Zvika Haramaty; Moshe Sipper Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks. (98%)Andrew Wang; Wyatt Mayor; Ryan Smith; Gopal Nookula; Gregory Ditzler Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System. (70%)Abdur R. Shahid; Ahmed Imteaj; Peter Y. Wu; Diane A. Igoche; Tauhidul Alam An Efficient Multi-Step Framework for Malware Packing Identification. (41%)Jong-Wouk Kim; Yang-Sae Moon; Mi-Jung Choi An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. (26%)Jihyeon Hyeong; Jayoung Kim; Noseong Park; Sushil Jajodia Efficient Detection and Filtering Systems for Distributed Training. (26%)Konstantinos Konstantinidis; Aditya Ramamoorthy On the Privacy Effect of Data Enhancement via the Lens of Memorization. (10%)Xiao Li; Qiongxiu Li; Zhanhao Hu; Xiaolin Hu ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach. (2%)Tong Zhou; Shaolei Ren; Xiaolin Xu DF-Captcha: A Deepfake Captcha for Preventing Fake Calls. (1%)Yisroel Mirsky Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition. (1%)Goutham Rajendran; Wei Zou 2022-08-16 A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search. (82%)Huijun Liu; Jie Yu; Shasha Li; Jun Ma; Bin Ji Imperceptible and Robust Backdoor Attack in 3D Point Cloud. (68%)Kuofeng Gao; Jiawang Bai; Baoyuan Wu; Mengxi Ya; Shu-Tao Xia AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks. (13%)Mulong Luo; Wenjie Xiong; Geunbae Lee; Yueying Li; Xiaomeng Yang; Amy Zhang; Yuandong Tian; Hsien-Hsin S. Lee; G. Edward Suh Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise. (1%)Yihao Xue; Kyle Whitecross; Baharan Mirzasoleiman 2022-08-15 Man-in-the-Middle Attack against Object Detection Systems. (96%)Han Wu; Sareh Rowlands; Johan Wahlstrom MENLI: Robust Evaluation Metrics from Natural Language Inference. (92%)Yanran Chen; Steffen Eger Training-Time Attacks against k-Nearest Neighbors. (2%)Ara Vartanian; Will Rosenbaum; Scott Alfeld CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models. (1%)Chuyen Nguyen; Caleb Morgan; Sudip Mittal 2022-08-14 A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design. (99%)Jialiang Sun; Wen Yao; Tingsong Jiang; Xiaoqian Chen Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection. (92%)Haibin Zheng; Haiyang Xiong; Haonan Ma; Guohan Huang; Jinyin Chen InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee. (92%)Yaxian Li; Bingqing Zhang; Guoping Zhao; Mingyu Zhang; Jiajun Liu; Ziwei Wang; Jirong Wen Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. (67%)Ashish Gupta; Tie Luo; Mao V. Ngo; Sajal K. Das 2022-08-13 Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. (99%)Beini Xie; Heng Chang; Xin Wang; Tian Bian; Shiji Zhou; Daixin Wang; Zhiqiang Zhang; Wenwu Zhu Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks. (99%)Tian Yu Liu; Yu Yang; Baharan Mirzasoleiman Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer. (62%)Tong Wang; Yuan Yao; Feng Xu; Miao Xu; Shengwei An; Ting Wang 2022-08-12 Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator. (99%)Xiangbo Gao; Cheng Luo; Qinliang Lin; Weicheng Xie; Minmin Liu; Linlin Shen; Keerthy Kusumam; Siyang Song MaskBlock: Transferable Adversarial Examples with Bayes Approach. (99%)Mingyuan Fan; Cen Chen; Ximeng Liu; Wenzhong Guo Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks. (98%)Ferhat Ozgur Catak; Murat Kuzlu; Evren Catak; Umit Cali; Ozgur Guler Unifying Gradients to Improve Real-world Robustness for Deep Networks. (96%)Yingwen Wu; Sizhe Chen; Kun Fang; Xiaolin Huang A Knowledge Distillation-Based Backdoor Attack in Federated Learning. (93%)Yifan Wang; Wei Fan; Keke Yang; Naji Alhusaini; Jing Li Dropout is NOT All You Need to Prevent Gradient Leakage. (62%)Daniel Scheliga; Patrick Mäder; Marco Seeland Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons. (2%)Mingyuan Fan; Yang Liu; Cen Chen; Ximeng Liu; Wenzhong Guo PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. (2%)Kaustav Bhattacharjee; Akm Islam; Jaideep Vaidya; Aritra Dasgupta 2022-08-11 Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks. (99%)Woo Jae Kim; Seunghoon Hong; Sung-Eui Yoon General Cutting Planes for Bound-Propagation-Based Neural Network Verification. (68%)Huan Zhang; Shiqi Wang; Kaidi Xu; Linyi Li; Bo Li; Suman Jana; Cho-Jui Hsieh; J. Zico Kolter On deceiving malware classification with section injection. (5%)Silva Adeilson Antonio da; Mauricio Pamplona Segundo A Probabilistic Framework for Mutation Testing in Deep Neural Networks. (1%)Florian Tambon; Foutse Khomh; Giuliano Antoniol Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment. (1%)Jie Zhu; Leye Wang; Xiao Han Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone. (1%)Aghiles Ait Messaoud; Sonia Ben Mokhtar; Vlad Nitu; Valerio Schiavoni 2022-08-10 Explaining Machine Learning DGA Detectors from DNS Traffic Data. (13%)Giorgio Piras; Maura Pintor; Luca Demetrio; Battista Biggio A Sublinear Adversarial Training Algorithm. (3%)Yeqi Gao; Lianke Qin; Zhao Song; Yitan Wang DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. (1%)Yu Zheng; Chen Gao; Jingtao Ding; Lingling Yi; Depeng Jin; Yong Li; Meng Wang 2022-08-09 Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services. (98%)Ahmed Omara; Burak Kantarci Reducing Exploitability with Population Based Training. (67%)Pavel Czempin; Adam Gleave Robust Machine Learning for Malware Detection over Time. (9%)Daniele Angioni; Luca Demetrio; Maura Pintor; Battista Biggio 2022-08-08 Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering. (75%)Yong Liu; Hanzhou Wu; Xinpeng Zhang PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. (67%)Diego Garcia-soto; Huili Chen; Farinaz Koushanfar Adversarial robustness of VAEs through the lens of local geometry. (47%)Asif Khan; Amos Storkey AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning. (26%)Tianxing Zhang; Hanzhou Wu; Xiaofeng Lu; Guangling Sun Abutting Grating Illusion: Cognitive Challenge to Neural Network Models. (1%)Jinyu Fan; Yi Zeng Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application. (1%)Ayan Chatterjee; Bestoun S. Ahmed; Erik Hallin; Anton Engman 2022-08-07 Federated Adversarial Learning: A Framework with Convergence Analysis. (80%)Xiaoxiao Li; Zhao Song; Jiaming Yang Are Gradients on Graph Structure Reliable in Gray-box Attacks? (13%)Zihan Liu; Yun Luo; Lirong Wu; Siyuan Li; Zicheng Liu; Stan Z. Li 2022-08-06 Blackbox Attacks via Surrogate Ensemble Search. (99%)Zikui Cai; Chengyu Song; Srikanth Krishnamurthy; Amit Roy-Chowdhury; M. Salman Asif On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. (22%)Congyu Fang; Hengrui Jia; Anvith Thudi; Mohammad Yaghini; Christopher A. Choquette-Choo; Natalie Dullerud; Varun Chandrasekaran; Nicolas Papernot Preventing or Mitigating Adversarial Supply Chain Attacks; a legal analysis. (3%)Kaspar Rosager Ludvigsen; Shishir Nagaraja; Angela Daly 2022-08-05 Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations. (73%)Jan Nikolas Morshuis; Sergios Gatidis; Matthias Hein; Christian F. Baumgartner Data-free Backdoor Removal based on Channel Lipschitzness. (64%)Runkai Zheng; Rongjun Tang; Jianze Li; Li Liu Lethal Dose Conjecture on Data Poisoning. (2%)Wenxiao Wang; Alexander Levine; Soheil Feizi LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles. (1%)Li Yang; Abdallah Shami; Gary Stevens; Rusett Stephen De Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks. (1%)Bernd Prach; Christoph H. Lampert 2022-08-04 Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. (99%)Faris Almalik; Mohammad Yaqub; Karthik Nandakumar 2022-08-03 Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification. (99%)Sicheng College of Information and Communication Engineering, Harbin Engineering University, Harbin Zhang; Jiarun College of Information and Communication Engineering, Harbin Engineering University, Harbin Yu; Zhida College of Information and Communication Engineering, Harbin Engineering University, Harbin Bao; Shiwen Department of Electrical & Computer Engineering, Auburn University, Auburn Mao; Yun College of Information and Communication Engineering, Harbin Engineering University, Harbin Lin Design of secure and robust cognitive system for malware detection. (99%)Sanket Shukla A New Kind of Adversarial Example. (99%)Ali Borji Adversarial Attacks on ASR Systems: An Overview. (98%)Xiao Zhang; Hao Tan; Xuan Huang; Denghui Zhang; Keke Tang; Zhaoquan Gu Multiclass ASMA vs Targeted PGD Attack in Image Segmentation. (96%)Johnson University of Toronto Vo; Jiabao University of Toronto Xie; Sahil University of Toronto Patel MOVE: Effective and Harmless Ownership Verification via Embedded External Features. (84%)Yiming Li; Linghui Zhu; Xiaojun Jia; Yang Bai; Yong Jiang; Shu-Tao Xia; Xiaochun Cao Robust Graph Neural Networks using Weighted Graph Laplacian. (13%)Bharat Runwal; Vivek; Sandeep Kumar 2022-08-02 Adversarial Camouflage for Node Injection Attack on Graphs. (81%)Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry. (2%)Mark Penrod; Harrison Termotto; Varshini Reddy; Jiayu Yao; Finale Doshi-Velez; Weiwei Pan SCFI: State Machine Control-Flow Hardening Against Fault Attacks. (1%)Pascal Nasahl; Martin Unterguggenberger; Rishub Nagpal; Robert Schilling; David Schrammel; Stefan Mangard 2022-08-01 GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. (98%)Jiacheng Zhu; Jielin Qiu; Zhuolin Yang; Douglas Weber; Michael A. Rosenberg; Emerson Liu; Bo Li; Ding Zhao Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem. (81%)Zheng Wang; Wenjie Ruan On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel. (75%)Shubhi Shukla; Manaar Alam; Sarani Bhattacharya; Debdeep Mukhopadhyay; Pabitra Mitra Attacking Adversarial Defences by Smoothing the Loss Landscape. (26%)Panagiotis Eustratiadis; Henry Gouk; Da Li; Timothy Hospedales 2022-07-31 DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning. (99%)Mohammad Hossein Samavatian; Saikat Majumdar; Kristin Barber; Radu Teodorescu Robust Real-World Image Super-Resolution against Adversarial Attacks. (99%)Jiutao Yue; Haofeng Li; Pengxu Wei; Guanbin Li; Liang Lin Is current research on adversarial robustness addressing the right problem? 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(1%)Ping Wei; Sheng Li; Xinpeng Zhang; Ge Luo; Zhenxing Qian; Qing Zhou 2022-07-26 LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. (99%)Martin Gubri; Maxime Cordy; Mike Papadakis; Yves Le Traon; Koushik Sen Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception. (99%)Rui Duan; Zhe Qu; Shangqing Zhao; Leah Ding; Yao Liu; Zhuo Lu Generative Extraction of Audio Classifiers for Speaker Identification. (73%)Tejumade Afonja; Lucas Bourtoule; Varun Chandrasekaran; Sageev Oore; Nicolas Papernot Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks. (8%)Tilman Räuker; Anson Ho; Stephen Casper; Dylan Hadfield-Menell 2022-07-25 $p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations. (99%)Adam Dziedzic; Stephan Rabanser; Mohammad Yaghini; Armin Ale; Murat A. Erdogdu; Nicolas Papernot Improving Adversarial Robustness via Mutual Information Estimation. 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(99%)Jiebao Zhang; Wenhua Qian; Rencan Nie; Jinde Cao; Dan Xu Adversarial Robustness Assessment of NeuroEvolution Approaches. (99%)Inês Valentim; Nuno Lourenço; Nuno Antunes Frequency Domain Model Augmentation for Adversarial Attack. (99%)Yuyang Long; Qilong Zhang; Boheng Zeng; Lianli Gao; Xianglong Liu; Jian Zhang; Jingkuan Song Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. (92%)Luca Demetrio; Battista Biggio; Fabio Roli Game of Trojans: A Submodular Byzantine Approach. (87%)Dinuka Sahabandu; Arezoo Rajabi; Luyao Niu; Bo Li; Bhaskar Ramasubramanian; Radha Poovendran Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures. (84%)Jia Liu; Ran Cheng; Yaochu Jin Certified Adversarial Robustness via Anisotropic Randomized Smoothing. (76%)Hanbin Hong; Yuan Hong RelaxLoss: Defending Membership Inference Attacks without Losing Utility. (26%)Dingfan Chen; Ning Yu; Mario Fritz Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations. (5%)Satoshi Munakata; Caterina Urban; Haruki Yokoyama; Koji Yamamoto; Kazuki Munakata Markov Decision Process For Automatic Cyber Defense. (4%)Simon Yusuf Enoch; Simon Yusuf Enoch; Dong Seong Kim Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction. (1%)Charles Lu; Syed Rakin Ahmed; Praveer Singh; Jayashree Kalpathy-Cramer Backdoor Attacks on Crowd Counting. (1%)Yuhua Sun; Tailai Zhang; Xingjun Ma; Pan Zhou; Jian Lou; Zichuan Xu; Xing Di; Yu Cheng; Lichao 2022-07-11 Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems. (99%)Ibrahim Aliyu; Engelenburg Selinde van; Muhammed Bashir Muazu; Jinsul Kim; Chang Gyoon Lim RUSH: Robust Contrastive Learning via Randomized Smoothing. (98%)Yijiang Pang; Boyang Liu; Jiayu Zhou Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. (98%)Yaniv Nemcovsky; Matan Yaakoby; Alex M. Bronstein; Chaim Baskin Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency. (83%)Hassan Mahmood; Ehsan Elhamifar Susceptibility of Continual Learning Against Adversarial Attacks. (75%)Hikmat Khan; Pir Masoom Shah; Syed Farhan Alam Zaidi; Saif ul Islam "Why do so?" -- A Practical Perspective on Machine Learning Security. (64%)Kathrin Grosse; Lukas Bieringer; Tarek Richard Besold; Battista Biggio; Katharina Krombholz Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. (22%)Zhiyuan Cheng; James Liang; Hongjun Choi; Guanhong Tao; Zhiwen Cao; Dongfang Liu; Xiangyu Zhang Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation. (1%)Zhun Zhong; Yuyang Zhao; Gim Hee Lee; Nicu Sebe 2022-07-10 One-shot Neural Backdoor Erasing via Adversarial Weight Masking. (33%)Shuwen Chai; Jinghui Chen Hiding Your Signals: A Security Analysis of PPG-based Biometric Authentication. (4%)Lin Li; Chao Chen; Lei Pan; Yonghang Tai; Jun Zhang; Yang Xiang 2022-07-09 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features. (98%)Taha Belkhouja; Janardhan Rao Doppa Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain. (98%)Chang Yue; Peizhuo Lv; Ruigang Liang; Kai Chen Dynamic Time Warping based Adversarial Framework for Time-Series Domain. (97%)Taha Belkhouja; Yan Yan; Janardhan Rao Doppa Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. (67%)Taha Belkhouja; Yan Yan; Janardhan Rao Doppa 2022-07-08 Not all broken defenses are equal: The dead angles of adversarial accuracy. (99%)Raphael Olivier; Bhiksha Raj Improved and Interpretable Defense to Transferred Adversarial Examples by Jacobian Norm with Selective Input Gradient Regularization. (99%)Deyin Liu; Lin Wu; Lingqiao Liu; Haifeng Zhao; Farid Boussaid; Mohammed Bennamoun Defense Against Multi-target Trojan Attacks. (80%)Haripriya Harikumar; Santu Rana; Kien Do; Sunil Gupta; Wei Zong; Willy Susilo; Svetha Venkastesh Guiding the retraining of convolutional neural networks against adversarial inputs. (80%)Francisco Durán López; Silverio Martínez-Fernández; Michael Felderer; Xavier Franch Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future. (68%)Byunggill Joe; Insik Shin; Jihun Hamm Models Out of Line: A Fourier Lens on Distribution Shift Robustness. (10%)Sara Fridovich-Keil; Brian R. Bartoldson; James Diffenderfer; Bhavya Kailkhura; Peer-Timo Bremer A law of adversarial risk, interpolation, and label noise. (1%)Daniel Paleka; Amartya Sanyal 2022-07-07 On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network. (99%)Seongjin Park; Haedong Jeong; Giyoung Jeon; Jaesik Choi Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. (11%)Zhuo Huang; Xiaobo Xia; Li Shen; Bo Han; Mingming Gong; Chen Gong; Tongliang Liu CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships. (5%)Rebecca Roelofs; Liting Sun; Ben Caine; Khaled S. Refaat; Ben Sapp; Scott Ettinger; Wei Chai 2022-07-06 The Weaknesses of Adversarial Camouflage in Overhead Imagery. (83%)Etten Adam Van Adversarial Robustness of Visual Dialog. (64%)Lu Yu; Verena Rieser Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information. (54%)Cory Merkel When does Bias Transfer in Transfer Learning? (10%)Hadi Salman; Saachi Jain; Andrew Ilyas; Logan Engstrom; Eric Wong; Aleksander Madry Privacy-preserving Reflection Rendering for Augmented Reality. 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(8%)Mehdi Nourelahi; Lars Kotthoff; Peijie Chen; Anh Nguyen 2022-05-24 Defending a Music Recommender Against Hubness-Based Adversarial Attacks. (99%)Katharina Hoedt; Arthur Flexer; Gerhard Widmer Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. (99%)Sizhe Chen; Zhehao Huang; Qinghua Tao; Yingwen Wu; Cihang Xie; Xiaolin Huang Certified Robustness Against Natural Language Attacks by Causal Intervention. (98%)Haiteng Zhao; Chang Ma; Xinshuai Dong; Anh Tuan Luu; Zhi-Hong Deng; Hanwang Zhang One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. (92%)Shutong Wu; Sizhe Chen; Cihang Xie; Xiaolin Huang Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation. (64%)Xiaoguang Li; Neil Zhenqiang Gong; Ninghui Li; Wenhai Sun; Hui Li WeDef: Weakly Supervised Backdoor Defense for Text Classification. (56%)Lesheng Jin; Zihan Wang; Jingbo Shang Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. (50%)Yijun Tian; Chuxu Zhang; Zhichun Guo; Yihong Ma; Ronald Metoyer; Nitesh V. Chawla EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling. (10%)Mitch Hill; Jonathan Mitchell; Chu Chen; Yuan Du; Mubarak Shah; Song-Chun Zhu Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks. (9%)Shijie Zhang; Hongzhi Yin Fast & Furious: Modelling Malware Detection as Evolving Data Streams. (2%)Fabrício Ceschin; Marcus Botacin; Heitor Murilo Gomes; Felipe Pinagé; Luiz S. Oliveira; André Grégio Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. (2%)Tianlong Chen; Zhenyu Zhang; Yihua Zhang; Shiyu Chang; Sijia Liu; Zhangyang Wang CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature Sharing. (1%)Zhiwei Hao; Yong Luo; Zhi Wang; Han Hu; Jianping An 2022-05-23 Collaborative Adversarial Training. (98%)Qizhang Li; Yiwen Guo; Wangmeng Zuo; Hao Chen 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 Towards a Defense against Backdoor Attacks in Continual Federated Learning. (50%)Shuaiqi Wang; Jonathan Hayase; Giulia Fanti; Sewoong Oh Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. (10%)Huarui He; Jie Wang; Zhanqiu Zhang; Feng Wu RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis. (1%)Mohammad Esmaeilpour; Nourhene Chaalia; Adel Abusitta; Francois-Xavier Devailly; Wissem Maazoun; Patrick Cardinal 2022-05-22 AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning. (26%)Michael Villarreal; Bibek Poudel; Ryan Wickman; Yu Shen; Weizi Li Robust Quantity-Aware Aggregation for Federated Learning. (13%)Jingwei Yi; Fangzhao Wu; Huishuai Zhang; Bin Zhu; Tao Qi; Guangzhong Sun; Xing Xie Analysis of functional neural codes of deep learning models. (10%)Jung Hoon Lee; Sujith Vijayan 2022-05-21 Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models. (99%)Shawn Shan; Wenxin Ding; Emily Wenger; Haitao Zheng; Ben Y. Zhao Gradient Concealment: Free Lunch for Defending Adversarial Attacks. (99%)Sen Pei; Jiaxi Sun; Xiaopeng Zhang; Gaofeng Meng Phrase-level Textual Adversarial Attack with Label Preservation. (99%)Yibin Lei; Yu Cao; Dianqi Li; Tianyi Zhou; Meng Fang; Mykola Pechenizkiy On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems. (16%)Soma Kontar; Andras Horvath 2022-05-20 Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness. (99%)Jiankai Jin; Olga Ohrimenko; Benjamin I. P. Rubinstein Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification. (98%)Jungeum Kim; Xiao Wang Adversarial joint attacks on legged robots. (86%)Takuto Otomo; Hiroshi Kera; Kazuhiko Kawamoto Towards Consistency in Adversarial Classification. (82%)Laurent Meunier; Raphaël Ettedgui; Rafael Pinot; Yann Chevaleyre; Jamal Atif Adversarial Body Shape Search for Legged Robots. (80%)Takaaki Azakami; Hiroshi Kera; Kazuhiko Kawamoto SafeNet: Mitigating Data Poisoning Attacks on Private Machine Learning. (64%)Harsh Chaudhari; Matthew Jagielski; Alina Oprea The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. (11%)Lukas S. Huber; Robert Geirhos; Felix A. Wichmann Vulnerability Analysis and Performance Enhancement of Authentication Protocol in Dynamic Wireless Power Transfer Systems. (10%)Tommaso Bianchi; Surudhi Asokraj; Alessandro Brighente; Mauro Conti; Radha Poovendran Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. (4%)Ser Javier Del; Alejandro Barredo-Arrieta; Natalia Díaz-Rodríguez; Francisco Herrera; Andreas Holzinger 2022-05-19 Focused Adversarial Attacks. (99%)Thomas Cilloni; Charles Walter; Charles Fleming Transferable Physical Attack against Object Detection with Separable Attention. (99%)Yu Zhang; Zhiqiang Gong; Yichuang Zhang; YongQian Li; Kangcheng Bin; Jiahao Qi; Wei Xue; Ping Zhong Gradient Aligned Attacks via a Few Queries. (99%)Xiangyuan Yang; Jie Lin; Hanlin Zhang; Xinyu Yang; Peng Zhao On Trace of PGD-Like Adversarial Attacks. (99%)Mo Zhou; Vishal M. Patel Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. (98%)Leo Schwinn; Leon Bungert; An Nguyen; René Raab; Falk Pulsmeyer; Doina Precup; Björn Eskofier; Dario Zanca Defending Against Adversarial Attacks by Energy Storage Facility. (96%)Jiawei Li; Jianxiao Wang; Lin Chen; Yang Yu Sparse Adversarial Attack in Multi-agent Reinforcement Learning. (82%)Yizheng Hu; Zhihua Zhang Data Valuation for Offline Reinforcement Learning. (1%)Amir Abolfazli; Gregory Palmer; Daniel Kudenko 2022-05-18 Passive Defense Against 3D Adversarial Point Clouds Through the Lens of 3D Steganalysis. (99%)Jiahao Zhu Property Unlearning: A Defense Strategy Against Property Inference Attacks. (84%)Joshua Universität Hamburg Stock; Jens Universität Hamburg Wettlaufer; Daniel Universität Hamburg Demmler; Hannes Universität Hamburg Federrath Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution. (56%)Zhixin Pan; Prabhat Mishra Empirical Advocacy of Bio-inspired Models for Robust Image Recognition. (38%)Harshitha Machiraju; Oh-Hyeon Choung; Michael H. Herzog; Pascal Frossard Constraining the Attack Space of Machine Learning Models with Distribution Clamping Preprocessing. (1%)Ryan Feng; Somesh Jha; Atul Prakash Mitigating Neural Network Overconfidence with Logit Normalization. (1%)Hongxin Wei; Renchunzi Xie; Hao Cheng; Lei Feng; Bo An; Yixuan Li 2022-05-17 Hierarchical Distribution-Aware Testing of Deep Learning. (99%)Wei Huang; Xingyu Zhao; Alec Banks; Victoria Cox; Xiaowei Huang Bankrupting DoS Attackers Despite Uncertainty. 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(62%)Ziyuan Zhou; Guanjun Liu Automation Slicing and Testing for in-App Deep Learning Models. (1%)Hao Wu; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Minghao Li; Fengyuan Xu; Yunxin Liu; Sheng Zhong 2022-05-14 Evaluating Membership Inference Through Adversarial Robustness. (98%)Zhaoxi Zhang; Leo Yu Zhang; Xufei Zheng; Bilal Hussain Abbasi; Shengshan Hu Verifying Neural Networks Against Backdoor Attacks. (2%)Long H. Pham; Jun Sun 2022-05-13 MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic. (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. 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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. 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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 Adversarial Training for High-Stakes Reliability. (98%)Daniel M. Ziegler; Seraphina Nix; Lawrence Chan; Tim Bauman; Peter Schmidt-Nielsen; Tao Lin; Adam Scherlis; Noa Nabeshima; Ben Weinstein-Raun; Haas Daniel de; Buck Shlegeris; Nate Thomas Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks. (96%)Jonathan Rusert; Padmini Srinivasan On the uncertainty principle of neural networks. (3%)Jun-Jie Zhang; Dong-Xiao Zhang; Jian-Nan Chen; Long-Gang Pang Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars. (1%)Kunal Pattanayak; Vikram Krishnamurthy; Christopher Berry 2022-05-02 SemAttack: Natural Textual Attacks via Different Semantic Spaces. (96%)Boxin Wang; Chejian Xu; Xiangyu Liu; Yu Cheng; Bo Li Deep-Attack over the Deep Reinforcement Learning. (93%)Yang Li; Quan Pan; Erik Cambria Enhancing Adversarial Training with Feature Separability. (92%)Yaxin Li; Xiaorui Liu; Han Xu; Wentao Wang; Jiliang Tang BERTops: Studying BERT Representations under a Topological Lens. (92%)Jatin Chauhan; Manohar Kaul MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer. (83%)Shoukun Sun; Min Xian; Aleksandar Vakanski; Hossny Ghanem Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters. (1%)Ole Christian Eidheim 2022-05-01 A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. (98%)Yong Xie; Dakuo Wang; Pin-Yu Chen; Jinjun Xiong; Sijia Liu; Sanmi Koyejo DDDM: a Brain-Inspired Framework for Robust Classification. (76%)Xiyuan Chen; Xingyu Li; Yi Zhou; Tianming Yang Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. (9%)Shoujie Tong; Qingxiu Dong; Damai Dai; Yifan song; Tianyu Liu; Baobao Chang; Zhifang Sui A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. (3%)Jeremiah Zhe Liu; Shreyas Padhy; Jie Ren; Zi Lin; Yeming Wen; Ghassen Jerfel; Zack Nado; Jasper Snoek; Dustin Tran; Balaji Lakshminarayanan Adversarial Plannning. (2%)Valentin Vie; Ryan Sheatsley; Sophia Beyda; Sushrut Shringarputale; Kevin Chan; Trent Jaeger; Patrick McDaniel 2022-04-30 Optimizing One-pixel Black-box Adversarial Attacks. (82%)Tianxun Zhou; Shubhankar Agrawal; Prateek Manocha Cracking White-box DNN Watermarks via Invariant Neuron Transforms. (26%)Yifan Yan; Xudong Pan; Yining Wang; Mi Zhang; Min Yang Loss Function Entropy Regularization for Diverse Decision Boundaries. (1%)Chong Sue Sin Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees. (1%)Jonathan Brophy; Zayd Hammoudeh; Daniel Lowd 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. (99%)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 Testing robustness of predictions of trained classifiers against naturally occurring perturbations. (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; Zibin Zheng; Jiawang Dan; Changhua Meng; 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 CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. (99%)Xunguang Wang; Yiqun Lin; 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. Henzinger 2022-04-14 From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks. (99%)Mohammad Esmaeilpour; Patrick Cardinal; Alessandro Lameiras Koerich Planting Undetectable Backdoors in Machine Learning Models. (99%)Shafi Goldwasser; Michael P. Kim; Vinod Vaikuntanathan; Or Zamir Q-TART: Quickly Training for Adversarial Robustness and in-Transferability. (50%)Madan Ravi Ganesh; Salimeh Yasaei Sekeh; Jason J. Corso Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification. (41%)Jordan J. Bird 2022-04-13 Task-Driven Data Augmentation for Vision-Based Robotic Control. (96%)Shubhankar Agarwal; Sandeep P. Chinchali Stealing and Evading Malware Classifiers and Antivirus at Low False Positive Conditions. (87%)Maria Rigaki; Sebastian Garcia Defensive Patches for Robust Recognition in the Physical World. (80%)Jiakai Wang; Zixin Yin; Pengfei Hu; Aishan Liu; Renshuai Tao; Haotong Qin; Xianglong Liu; Dacheng Tao A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. (78%)Pervaiz Iqbal Khan; Imran Razzak; Andreas Dengel; Sheraz Ahmed Overparameterized Linear Regression under Adversarial Attacks. (76%)Antônio H. Ribeiro; Thomas B. Schön Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures. (38%)Huming Qiu; Hua Ma; Zhi Zhang; Alsharif Abuadbba; Wei Kang; Anmin Fu; Yansong Gao A Natural Language Processing Approach for Instruction Set Architecture Identification. (1%)Dinuka Sahabandu; Sukarno Mertoguno; Radha Poovendran 2022-04-12 Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS. (99%)Ke He; Dan Dongseong Kim; Jing Sun; Jeong Do Yoo; Young Hun Lee; Huy Kang Kim Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks. (98%)Štefan Pócoš; Iveta Bečková; Igor Farkaš Toward Robust Spiking Neural Network Against Adversarial Perturbation. (98%)Ling Liang; Kaidi Xu; Xing Hu; Lei Deng; Yuan Xie Machine Learning Security against Data Poisoning: Are We There Yet? (92%)Antonio Emanuele Cinà; Kathrin Grosse; Ambra Demontis; Battista Biggio; Fabio Roli; Marcello Pelillo Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. (11%)Saeed Mahloujifar; Alexandre Sablayrolles; Graham Cormode; Somesh Jha 3DeformRS: Certifying Spatial Deformations on Point Clouds. (9%)Gabriel Pérez S.; Juan C. Pérez; Motasem Alfarra; Silvio Giancola; Bernard Ghanem 2022-04-11 A Simple Approach to Adversarial Robustness in Few-shot Image Classification. (98%)Akshayvarun Subramanya; Hamed Pirsiavash Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information. (92%)Yi Zeng; Minzhou Pan; Hoang Anh Just; Lingjuan Lyu; Meikang Qiu; Ruoxi Jia Generalizing Adversarial Explanations with Grad-CAM. (84%)Tanmay Chakraborty; Utkarsh Trehan; Khawla Mallat; Jean-Luc Dugelay Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. (83%)Jungbeom Lee; Eunji Kim; Jisoo Mok; Sungroh Yoon Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. (47%)Lei Xu; Yangyi Chen; Ganqu Cui; Hongcheng Gao; Zhiyuan Liu medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space. (1%)Amil Dravid; Florian Schiffers; Boqing Gong; Aggelos K. Katsaggelos 2022-04-10 "That Is a Suspicious Reaction!": Interpreting Logits Variation to Detect NLP Adversarial Attacks. (88%)Edoardo Mosca; Shreyash Agarwal; Javier Rando-Ramirez; Georg Groh Analysis of Power-Oriented Fault Injection Attacks on Spiking Neural Networks. (54%)Karthikeyan Nagarajan; Junde Li; Sina Sayyah Ensan; Mohammad Nasim Imtiaz Khan; Sachhidh Kannan; Swaroop Ghosh Measuring the False Sense of Security. (26%)Carlos Gomes 2022-04-08 Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser. (99%)Sonal Joshi; Saurabh Kataria; Yiwen Shao; Piotr Zelasko; Jesus Villalba; Sanjeev Khudanpur; Najim Dehak AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification. (99%)Sonal Joshi; Saurabh Kataria; Jesus Villalba; Najim Dehak Evaluating the Adversarial Robustness for Fourier Neural Operators. (92%)Abolaji D. Adesoji; Pin-Yu Chen Backdoor Attack against NLP models with Robustness-Aware Perturbation defense. (87%)Shaik Mohammed Maqsood; Viveros Manuela Ceron; Addluri GowthamKrishna An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks. (45%)Xinqiao Zhang; Huili Chen; Ke Huang; Farinaz Koushanfar Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. (13%)Qiang Hu; Yuejun Guo; Maxime Cordy; Xiaofei Xie; Wei Ma; Mike Papadakis; Yves Le Traon Neural Tangent Generalization Attacks. (12%)Chia-Hung Yuan; Shan-Hung Wu Labeling-Free Comparison Testing of Deep Learning Models. (11%)Yuejun Guo; Qiang Hu; Maxime Cordy; Xiaofei Xie; Mike Papadakis; Yves Le Traon Does Robustness on ImageNet Transfer to Downstream Tasks? (2%)Yutaro Yamada; Mayu Otani The self-learning AI controller for adaptive power beaming with fiber-array laser transmitter system. (1%)A. M. Vorontsov; G. A. Filimonov 2022-04-07 Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. (99%)Yuhao Mao; Chong Fu; Saizhuo Wang; Shouling Ji; Xuhong Zhang; Zhenguang Liu; Jun Zhou; Alex X. Liu; Raheem Beyah; Ting Wang Adaptive-Gravity: A Defense Against Adversarial Samples. (99%)Ali Mirzaeian; Zhi Tian; Sai Manoj P D; Banafsheh S. Latibari; Ioannis Savidis; Houman Homayoun; Avesta Sasan Using Multiple Self-Supervised Tasks Improves Model Robustness. (81%)Matthew Lawhon; Chengzhi Mao; Junfeng Yang Transformer-Based Language Models for Software Vulnerability Detection: Performance, Model's Security and Platforms. (69%)Chandra Thapa; Seung Ick Jang; Muhammad Ejaz Ahmed; Seyit Camtepe; Josef Pieprzyk; Surya Nepal Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation. (1%)Diksha Goel; Max Hector Ward-Graham; Aneta Neumann; Frank Neumann; Hung Nguyen; Mingyu Guo 2022-04-06 Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks. (99%)Xu Han; Anmin Liu; Yifeng Xiong; Yanbo Fan; Kun He Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network. (95%)Byung-Kwan Lee; Junho Kim; Yong Man Ro Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck. (93%)Junho Kim; Byung-Kwan Lee; Yong Man Ro Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines. (68%)Wen Su; Qingna Li; Chunfeng Cui Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. (62%)Furkan Mumcu; Keval Doshi; Yasin Yilmaz Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures. (33%)Md Tamjid Jim Hossain; Shahriar Jim Badsha; Jim Hung; La; Haoting Shen; Shafkat Islam; Ibrahim Khalil; Xun Yi 2022-04-05 Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning. (98%)Nilaksh Das; Duen Horng Chau