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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 / 1,929 papers shown

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FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 83 0 0 02 Jun 2022
Why Adversarial Training of ReLU Networks Is Difficult? Xu Cheng Hao Zhang Yue Xin Wen Shen Jie Ren Quanshi Zhang AAML 57 3 0 30 May 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 279 90 0 30 May 2022
Robust Weight Perturbation for Adversarial Training Chaojian Yu Bo Han Biwei Huang Li Shen Shiming Ge Bo Du Tongliang Liu AAML 75 36 0 30 May 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 72 1 0 29 May 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 128 78 0 28 May 2022
Certified Robustness Against Natural Language Attacks by Causal Intervention Haiteng Zhao Chang Ma Xinshuai Dong Anh Tuan Luu Zhi-Hong Deng Hanwang Zhang AAML 108 36 0 24 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 36 0 0 24 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie Xiaolin Huang AAML 199 28 0 24 May 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization Shudong Zhang Haichang Gao Tianwei Zhang Yunyi Zhou Zihui Wu AAML 82 4 0 24 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 77 12 0 21 May 2022
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification Leo Schwinn Leon Bungert A. Nguyen René Raab Falk Pulsmeyer Doina Precup Björn Eskofier Dario Zanca OOD 93 15 0 19 May 2022
On Trace of PGD-Like Adversarial Attacks Mo Zhou Vishal M. Patel AAML 75 4 0 19 May 2022
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition Harshitha Machiraju Oh-hyeon Choung Michael H. Herzog P. Frossard AAML VLM OOD 53 6 0 18 May 2022
Lessons Learned: Defending Against Property Inference Attacks Joshua Stock Jens Wettlaufer Daniel Demmler Hannes Federrath AAML 95 1 0 18 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 91 3 0 16 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 281 456 0 16 May 2022
AEON: A Method for Automatic Evaluation of NLP Test Cases Jen-tse Huang Jianping Zhang Wenxuan Wang Pinjia He Yuxin Su Michael R. Lyu 83 23 0 13 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter Chinmay Hegde UQCV AAML 70 2 0 12 May 2022
Do You Think You Can Hold Me? The Real Challenge of Problem-Space Evasion Attacks Harel Berger A. Dvir Chen Hajaj Rony Ronen AAML 66 3 0 09 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 89 7 0 05 May 2022
CE-based white-box adversarial attacks will not work using super-fitting Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 104 0 0 04 May 2022
Enhancing Adversarial Training with Feature Separability Yaxin Li Xiaorui Liu Han Xu Wentao Wang Jiliang Tang AAML GAN 25 1 0 02 May 2022
DDDM: a Brain-Inspired Framework for Robust Classification Xiyuan Chen Xingyu Li Yi Zhou Tianming Yang AAML DiffM 77 7 0 01 May 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 51 6 0 29 Apr 2022
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame Youngjoon Yu Hong Joo Lee Hakmin Lee Yong Man Ro AAML 44 12 0 27 Apr 2022
When adversarial examples are excusable Pieter-Jan Kindermans Charles Staats AAML 52 0 0 25 Apr 2022
How Sampling Impacts the Robustness of Stochastic Neural Networks Sina Daubener Asja Fischer SILM AAML 57 1 0 22 Apr 2022
Case-Aware Adversarial Training Mingyuan Fan Yang Liu Ximeng Liu AAML 47 1 0 20 Apr 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 46 2 0 18 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 91 10 0 15 Apr 2022
Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS Ke He Dan Dongseong Kim Jing Sun J. Yoo Young Hun Lee H. Kim AAML 39 5 0 12 Apr 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang Kaidi Xu Xing Hu Lei Deng Yuan Xie AAML 77 16 0 12 Apr 2022
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks Stefan Pócos Iveta Becková Igor Farkas AAML 47 2 0 12 Apr 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds S. GabrielPérez Juan C. Pérez Motasem Alfarra Silvio Giancola Guohao Li 3DPC 95 12 0 12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 71 6 0 11 Apr 2022
Measuring the False Sense of Security Carlos Gomes AAML 58 0 0 10 Apr 2022
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser Sonal Joshi Saurabh Kataria Yiwen Shao Piotr Żelasko Jesus Villalba Sanjeev Khudanpur Najim Dehak AAML 42 4 0 08 Apr 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 59 20 0 06 Apr 2022
Recent improvements of ASR models in the face of adversarial attacks R. Olivier Bhiksha Raj AAML 126 14 0 29 Mar 2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models Simin Chen Zihe Song Mirazul Haque Cong Liu Wei Yang 75 42 0 29 Mar 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients Kaidong Li Ziming Zhang Cuncong Zhong Guanghui Wang 3DPC 78 25 0 29 Mar 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 129 34 0 27 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 128 73 0 26 Mar 2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality Ziqi Wang Marco Loog AAML 46 3 0 23 Mar 2022
Adversarial Parameter Attack on Deep Neural Networks Lijia Yu Yihan Wang Xiao-Shan Gao AAML 76 9 0 20 Mar 2022
Adversarial Defense via Image Denoising with Chaotic Encryption Shi Hu Eric T. Nalisnick Max Welling 54 2 0 19 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 102 12 0 18 Mar 2022
Towards Robust 2D Convolution for Reliable Visual Recognition Lida Li Shuai Li Kun Wang Xiangchu Feng Lei Zhang 36 1 0 18 Mar 2022
On the Properties of Adversarially-Trained CNNs Mattia Carletti M. Terzi Gian Antonio Susto AAML 66 1 0 17 Mar 2022