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Black-box Adversarial Attacks with Limited Queries and Information

International Conference on Machine Learning (ICML), 2018

23 April 2018

Papers citing "Black-box Adversarial Attacks with Limited Queries and Information"

50 / 682 papers shown

Title
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models Raz Lapid Moshe Sipper AAML 191 23 0 13 Jun 2023
Faithful Knowledge Distillation Tom A. Lamb Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Juil Sock Francisco Eiras AAML 149 0 0 07 Jun 2023
On Evaluating Adversarial Robustness of Large Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2023 Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Chongxuan Li Ngai-Man Cheung Min Lin VLM AAML MLLM 442 255 0 26 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & DefensesIEEE Access (IEEE Access), 2023 Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 346 104 0 18 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation DecayNeural Information Processing Systems (NeurIPS), 2023 Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 289 34 0 26 Apr 2023
Evading DeepFake Detectors via Adversarial Statistical ConsistencyComputer Vision and Pattern Recognition (CVPR), 2023 Yang Hou Qing Guo Yihao Huang Xiaofei Xie Lei Ma Jianjun Zhao AAML 283 66 0 23 Apr 2023
Diversifying the High-level Features for better Adversarial TransferabilityBritish Machine Vision Conference (BMVC), 2023 Zhiyuan Wang Zeliang Zhang Yaning Tan Xiaosen Wang AAML 315 25 0 20 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 281 7 0 13 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy DefenseACM Asia Conference on Computer and Communications Security (AsiaCCS), 2023 Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 183 5 0 11 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable ConfidenceConference on Computer and Communications Security (CCS), 2023 Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 236 6 0 10 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation ModelsEuropean Symposium on Security and Privacy (Euro S&P), 2023 Wenjie Qu Youqi Li Binghui Wang AAML 148 5 0 05 Apr 2023
Ensemble-based Blackbox Attacks on Dense PredictionComputer Vision and Pattern Recognition (CVPR), 2023 Zikui Cai Yaoteng Tan M. Salman Asif AAML 163 29 0 25 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper Margret Keuper AAML 152 11 0 22 Mar 2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval Xunguang Wang Jiawang Bai Xin-Chao Xu Xuelong Li AAML 183 1 0 22 Mar 2023
Efficient Decision-based Black-box Patch Attacks on Video RecognitionIEEE International Conference on Computer Vision (ICCV), 2023 Kaixun Jiang Zhaoyu Chen Tony Huang Jiafeng Wang Dingkang Yang Yue Liu Yan Wang Wenqiang Zhang AAML 234 28 0 21 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 246 1 0 13 Mar 2023
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box AttacksConference on Computer and Communications Security (CCS), 2023 Ryan Feng Ashish Hooda Neal Mangaokar Kassem Fawaz S. Jha Atul Prakash AAML 229 14 0 11 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 187 1 0 09 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors Raz Lapid Eylon Mizrahi Moshe Sipper AAML 285 3 0 07 Mar 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency TriggerComputer Vision and Pattern Recognition (CVPR), 2023 Yi Yu Yufei Wang Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot 287 57 0 28 Feb 2023
Adversarial Attack with Raindrops Jiyuan Liu Bingyi Lu Mingkang Xiong Tao Zhang Huilin Xiong 196 22 0 28 Feb 2023
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study Fabian Woitschek G. Schneider AAML 176 13 0 27 Feb 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Kashun Shum Shizhe Diao Tong Zhang ReLM LRM 406 174 0 24 Feb 2023
MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Aqib Rashid Jose Such AAML 366 14 0 21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 147 2 0 21 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 429 32 0 19 Feb 2023
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint Ziang Yan Shusen Wang Guorui Zhou Jingjian Lin Peng Jiang OffRL 95 10 0 09 Feb 2023
Shortcut Detection with Variational AutoencodersIEEE International Joint Conference on Neural Network (IJCNN), 2023 Nicolas Müller Simon Roschmann Shahbaz Khan Philip Sperl Konstantin Böttinger AAML DRL 211 2 0 08 Feb 2023
Black Box Adversarial Prompting for Foundation Models Natalie Maus Patrick Chao Eric Wong Jacob R. Gardner VLM 225 72 0 08 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksInternational Conference on Machine Learning (ICML), 2023 Shashank Agnihotri Steffen Jung Margret Keuper AAML 333 29 0 04 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware DetectionIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Aqib Rashid Jose Such AAML 160 4 0 01 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 184 4 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive SmoothingSIAM Journal on Mathematics of Data Science (SIMODS), 2023 Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 341 22 0 29 Jan 2023
Semantic Adversarial Attacks on Face Recognition through Significant AttributesInternational Journal of Computational Intelligence Systems (IJCIS), 2023 Yasmeen M. Khedr Yifeng Xiong Kun He AAML 249 2 0 28 Jan 2023
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks Wei Tao Lei Bao Long Sheng Gao-wei Wu Qing Tao AAML 159 2 0 27 Jan 2023
On the feasibility of attacking Thai LPR systems with adversarial examples Chissanupong Jiamsuchon Jakapan Suaboot Norrathep Rattanavipanon AAML 86 0 0 13 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers Debayan Deb Vishesh Mistry Rahul Parthe AAML CVBM 148 3 0 10 Jan 2023
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on VideosIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Xingxing Wei Songping Wang Huanqian Yan AAML 285 24 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 235 48 0 01 Jan 2023
Publishing Efficient On-device Models Increases Adversarial Vulnerability Sanghyun Hong Nicholas Carlini Alexey Kurakin AAML 145 4 0 28 Dec 2022
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous VehiclesIEEE Robotics and Automation Letters (RA-L), 2022 Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 162 10 0 28 Dec 2022
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch AttacksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Xingxing Wei Yingjie Guo Jie Yu Bo Zhang AAML 186 66 0 26 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 161 1 0 12 Dec 2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Qiqi Duan Guochen Zhou Chang Shao Zhuowei Wang Mingyang Feng Yuwei Huang Yajing Tan Yijun Yang Qi Zhao Yuhui Shi 282 7 0 12 Dec 2022
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 130 2 0 08 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Xiao-Li Li Ziqi Wang Bo Zhang Gang Hua Xiaolin Hu 189 32 0 04 Dec 2022
Hijack Vertical Federated Learning Models As One PartyIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 Pengyu Qiu Xuhong Zhang R. Beyah Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 192 12 0 01 Dec 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition Rohit Gupta Naveed Akhtar Gaurav Kumar Nayak Lin Wang M. Shah AAML 171 1 0 23 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Subrat Kishore Dutta Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 263 22 0 17 Nov 2022
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine LearningProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2022 Brian Testa Yi Xiao Harshit Sharma Avery Gump Asif Salekin AAML 231 12 0 17 Nov 2022