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Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

1 February 2018

Papers citing "Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples"

50 / 1,930 papers shown

Title
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 71 6 0 06 Dec 2022
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense Bao Gia Doan Ehsan Abbasnejad Javen Qinfeng Shi Damith Ranashinghe AAML OOD 87 8 0 05 Dec 2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks Xiao-Li Li Ziqi Wang Bo Zhang Gang Hua Xiaolin Hu 77 26 0 04 Dec 2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection Kunlan Xiang Xing Zhang Jinwen She Jinpeng Liu Haohan Wang Shiqi Deng Shancheng Jiang OOD MedIm 101 6 0 30 Nov 2022
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion Kui Zhang Hang Zhou Jie Zhang Qidong Huang Weiming Zhang Nenghai Yu DiffM 79 12 0 29 Nov 2022
Adversarial Rademacher Complexity of Deep Neural Networks Jiancong Xiao Yanbo Fan Ruoyu Sun Zhimin Luo AAML 64 23 0 27 Nov 2022
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks Huma Jamil Yajing Liu Christina Cole Nathaniel Blanchard E. King Michael Kirby C. Peterson AAML 60 2 0 23 Nov 2022
Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles Shengcai Liu Fu Peng Jiaheng Zhang AAML 67 11 0 23 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 84 35 0 23 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 81 8 0 21 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 126 31 0 21 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 107 20 0 17 Nov 2022
MORA: Improving Ensemble Robustness Evaluation with Model-Reweighing Attack Yunrui Yu Xitong Gao Chengzhong Xu AAML 68 8 0 15 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial Examples D. M. Nguyen Anh Tuan Luu AAML 89 17 0 05 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 66 2 0 04 Nov 2022
Adversarial Attack on Radar-based Environment Perception Systems Amira Guesmi Ihsen Alouani AAML 77 2 0 02 Nov 2022
FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs Yujia Huang I. D. Rodriguez Huan Zhang Yuanyuan Shi Yisong Yue 74 0 0 30 Oct 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 75 15 0 27 Oct 2022
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 134 60 0 27 Oct 2022
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Leonid Sigal Peter Tu AAML 99 5 0 26 Oct 2022
Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi Kevin Eykholt Amir Rahmati 71 7 0 25 Oct 2022
Towards Robust Recommender Systems via Triple Cooperative Defense Qingyang Wang Defu Lian Chenwang Wu Enhong Chen AAML 66 4 0 25 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 75 7 0 24 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 89 30 0 24 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations Andrei A. Rusu D. A. Calian Sven Gowal R. Hadsell AAML 171 4 0 22 Oct 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation Fan Yin Yao Li Cho-Jui Hsieh Kai-Wei Chang AAML 95 4 0 22 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 100 6 0 19 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 115 23 0 18 Oct 2022
Dynamics-aware Adversarial Attack of Adaptive Neural Networks An Tao Yueqi Duan Yingqi Wang Jiwen Lu Jie Zhou AAML 85 6 0 15 Oct 2022
Zonotope Domains for Lagrangian Neural Network Verification Matt Jordan J. Hayase A. Dimakis Sewoong Oh 91 3 0 14 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 101 58 0 14 Oct 2022
Visual Prompting for Adversarial Robustness Aochuan Chen P. Lorenz Yuguang Yao Pin-Yu Chen Sijia Liu VLM VPVLM 121 36 0 12 Oct 2022
Stable and Efficient Adversarial Training through Local Linearization Zhuorong Li Daiwei Yu AAML 34 0 0 11 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization Ziquan Liu Antoni B. Chan AAML 60 5 0 11 Oct 2022
Denoising Masked AutoEncoders Help Robust Classification Quanlin Wu Hang Ye Yuntian Gu Huishuai Zhang Liwei Wang Di He 77 22 0 10 Oct 2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks Simin Chen Mirazul Haque Cong Liu Wei Yang 110 22 0 10 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks Blerta Lindqvist AAML 87 2 0 08 Oct 2022
Robustness of Unsupervised Representation Learning without Labels Aleksandar Petrov Marta Z. Kwiatkowska OffRL 90 2 0 08 Oct 2022
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems Chawin Sitawarin Florian Tramèr Nicholas Carlini AAML 126 8 0 07 Oct 2022
Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim Charles Guille-Escuret Ioannis Mitliagkas Irina Rish David M. Krueger P. Bashivan OOD 62 6 0 06 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Biwei Huang Nannan Wang Tongliang Liu OOD 58 2 0 04 Oct 2022
Stability Analysis and Generalization Bounds of Adversarial Training Jiancong Xiao Yanbo Fan Ruoyu Sun Jue Wang Zhimin Luo AAML 85 31 0 03 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 80 13 0 02 Oct 2022
Learning Robust Kernel Ensembles with Kernel Average Pooling P. Bashivan Adam Ibrahim Amirozhan Dehghani Yifei Ren OOD 86 5 0 30 Sep 2022
Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri Arshia Soltani Moakhar Arman Zarei Reihaneh Zohrabi M. T. Manzuri M. Rohban OODD 111 17 0 30 Sep 2022
Generalizability of Adversarial Robustness Under Distribution Shifts Kumail Alhamoud Hasan Hammoud Motasem Alfarra Guohao Li OOD 146 9 0 29 Sep 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 160 39 0 28 Sep 2022
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks Kevin Hector Mathieu Dumont Pierre-Alain Moëllic J. Dutertre AAML 60 4 0 28 Sep 2022
The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices Wanlun Ma Derui Wang Ruoxi Sun Minhui Xue S. Wen Yang Xiang AAML 94 87 0 23 Sep 2022
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 87 1 0 22 Sep 2022