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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"

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Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 114 0 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 92 6 0 11 Feb 2024
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal Mantas Mazeika Long Phan Xuwang Yin Andy Zou Zifan Wang ... Nathaniel Li Steven Basart Bo Li David A. Forsyth Dan Hendrycks AAML 112 419 0 06 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 50 2 0 05 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 83 8 0 05 Feb 2024
Your Diffusion Model is Secretly a Certifiably Robust Classifier Huanran Chen Yinpeng Dong Shitong Shao Zhongkai Hao Xiao Yang Hang Su Jun Zhu DiffM 98 15 0 04 Feb 2024
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers Yatong Bai Mo Zhou Vishal M. Patel Somayeh Sojoudi AAML 96 8 0 03 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 126 20 0 02 Feb 2024
Tropical Decision Boundaries for Neural Networks Are Robust Against Adversarial Attacks Kurt Pasque Christopher Teska Ruriko Yoshida Keiji Miura Jefferson Huang AAML 96 2 0 01 Feb 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 124 15 0 29 Jan 2024
Securing Recommender System via Cooperative Training Qingyang Wang Chenwang Wu Defu Lian Enhong Chen AAML 77 2 0 23 Jan 2024
Robustness to distribution shifts of compressed networks for edge devices Lulan Shen Ali Edalati Brett H. Meyer Warren Gross James J. Clark 67 0 0 22 Jan 2024
How Robust Are Energy-Based Models Trained With Equilibrium Propagation? Siddharth Mansingh Michal Kucer Garrett Kenyon Juston S. Moore Michael Teti AAML 107 1 0 21 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 157 1 0 12 Jan 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness Sibo Wang Jie Zhang Zheng Yuan Shiguang Shan VLM 97 24 0 09 Jan 2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence Stephen Obadinma Xiaodan Zhu Hongyu Guo AAML 50 1 0 05 Jan 2024
Adversarial Attacks on Image Classification Models: Analysis and Defense Jaydip Sen Abhiraj Sen Ananda Chatterjee AAML 56 4 0 28 Dec 2023
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 99 8 0 28 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 86 0 0 21 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 64 2 0 18 Dec 2023
Exploring Transferability for Randomized Smoothing Kai Qiu Huishuai Zhang Zhirong Wu Stephen Lin AAML 50 1 0 14 Dec 2023
May the Noise be with you: Adversarial Training without Adversarial Examples Ayoub Arous A. F. López-Lopera Nael B. Abu-Ghazaleh Ihsen Alouani AAML OOD 38 0 0 12 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 112 0 0 08 Dec 2023
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks Xuanimng Cui Alejandro Aparcedo Young Kyun Jang Ser-Nam Lim AAML VLM 97 47 0 06 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System Xinwei Yuan Shu Han Wei Huang Hongliang Ye Xianglong Kong Fan Zhang AAML 75 23 0 06 Dec 2023
Generating Visually Realistic Adversarial Patch Xiaosen Wang Kunyu Wang AAML 55 0 0 05 Dec 2023
Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness Guanlin Li Naishan Zheng Man Zhou Jie Zhang Tianwei Zhang AAML 54 0 0 04 Dec 2023
Adversarial Medical Image with Hierarchical Feature Hiding Qingsong Yao Zecheng He Yuexiang Li Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou MedIm AAML 157 4 0 04 Dec 2023
Topology-Preserving Adversarial Training Xiaoyue Mi Fan Tang Yepeng Weng Danding Wang Juan Cao Sheng Tang Peng Li Yang Liu 102 1 0 29 Nov 2023
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention Lujia Shen Yuwen Pu Shouling Ji Changjiang Li Xuhong Zhang Chunpeng Ge Ting Wang AAML 71 6 0 29 Nov 2023
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition Xiaoliang Liu Shen Furao Jian Zhao Changhai Nie AAML 75 3 0 29 Nov 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 57 0 0 28 Nov 2023
On robust overfitting: adversarial training induced distribution matters Runzhi Tian Yongyi Mao OOD 85 1 0 28 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan Yuille Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 95 7 0 27 Nov 2023
Adversarial Purification of Information Masking Sitong Liu Z. Lian Shuangquan Zhang Liang Xiao AAML 74 0 0 26 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 88 2 0 26 Nov 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 78 0 0 23 Nov 2023
Explaining high-dimensional text classifiers Odelia Melamed Rich Caruana 48 0 0 22 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 75 0 0 15 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion Ozan Özdenizci Robert Legenstein AAML 86 10 0 15 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 121 0 0 14 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 47 0 0 14 Nov 2023
Upper and lower bounds for the Lipschitz constant of random neural networks Paul Geuchen Thomas Heindl Dominik Stöger Felix Voigtlaender AAML 111 0 0 02 Nov 2023
Intriguing Properties of Data Attribution on Diffusion Models Xiaosen Zheng Tianyu Pang Chao Du Jing Jiang Min Lin TDI 131 26 1 01 Nov 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan Soheil Feizi AAML 67 2 0 30 Oct 2023
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats Leo Schwinn David Dobre Stephan Günnemann Gauthier Gidel AAML ELM 100 41 0 30 Oct 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 69 15 0 30 Oct 2023
Adversarial Examples Are Not Real Features Ang Li Yifei Wang Yiwen Guo Yisen Wang 93 13 0 29 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 75 12 0 28 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification Mintong Kang Basel Alomair Yue Liu 100 32 0 27 Oct 2023