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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

Title
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni 3DPC 93 10 0 15 Jul 2022
Sound Randomized Smoothing in Floating-Point Arithmetics Václav Voráček Matthias Hein 82 4 0 14 Jul 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 48 11 0 14 Jul 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks Luca Bortolussi Ginevra Carbone Luca Laurenti A. Patané G. Sanguinetti Matthew Wicker AAML 54 13 0 13 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition Min Ren Yuhao Zhu Yunlong Wang Zhenan Sun AAML 63 14 0 13 Jul 2022
Adversarial Robustness Assessment of NeuroEvolution Approaches Inês Valentim Nuno Lourenço Nuno Antunes AAML 74 1 0 12 Jul 2022
Certified Adversarial Robustness via Anisotropic Randomized Smoothing Hanbin Hong Yuan Hong AAML 86 5 0 12 Jul 2022
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency Hassan Mahmood Ehsan Elhamifar AAML 49 0 0 11 Jul 2022
RUSH: Robust Contrastive Learning via Randomized Smoothing Yijiang Pang Boyang Liu Jiayu Zhou OOD AAML 68 1 0 11 Jul 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain Taha Belkhouja Yan Yan J. Doppa AAML AI4TS 82 26 0 09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 66 12 0 09 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 75 3 0 09 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 86 5 0 08 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 115 32 0 05 Jul 2022
Hessian-Free Second-Order Adversarial Examples for Adversarial Learning Yaguan Qian Yu-qun Wang Bin Wang Zhaoquan Gu Yu-Shuang Guo Wassim Swaileh AAML 108 3 0 04 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 56 17 0 30 Jun 2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese Marine Picot Marco Romanelli Francisco Messina Pablo Piantanida AAML 82 3 0 30 Jun 2022
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 72 16 0 28 Jun 2022
Self-Healing Robust Neural Networks via Closed-Loop Control Zhuotong Chen Qianxiao Li Zheng Zhang AAML OOD 43 11 0 26 Jun 2022
Adversarial Self-Attention for Language Understanding Hongqiu Wu Ruixue Ding Hai Zhao Pengjun Xie Fei Huang Min Zhang 83 12 0 25 Jun 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems Wen-ming Hou Qianqian Xu Zhiyong Yang Shilong Bao Yuan He Qingming Huang AAML 82 6 0 24 Jun 2022
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 85 17 0 23 Jun 2022
(Certified!!) Adversarial Robustness for Free! Nicholas Carlini Florian Tramèr Krishnamurthy Dvijotham Leslie Rice Mingjie Sun J. Zico Kolter DiffM 119 156 0 21 Jun 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 111 32 0 19 Jun 2022
A Universal Adversarial Policy for Text Classifiers Gallil Maimon Lior Rokach AAML 131 10 0 19 Jun 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System Jiaming Zhang Qiaomin Yi Dongyuan Lu Jitao Sang PICV AAML CVBM 32 5 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 94 21 0 18 Jun 2022
Landscape Learning for Neural Network Inversion Ruoshi Liu Chen-Guang Mao Purva Tendulkar Hongya Wang Carl Vondrick 96 8 0 17 Jun 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval Yihan Wu Hongyang R. Zhang Heng Huang 3DV 83 17 0 17 Jun 2022
Understanding Robust Overfitting of Adversarial Training and Beyond Chaojian Yu Bo Han Li Shen Jun Yu Chen Gong Biwei Huang Tongliang Liu OOD 84 60 0 17 Jun 2022
Analysis and Extensions of Adversarial Training for Video Classification K. A. Kinfu René Vidal AAML 88 13 0 16 Jun 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Yue Liu AAML 93 25 0 16 Jun 2022
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning Jonah O'Brien Weiss Tiago A. O. Alves S. Kundu AAML 30 0 0 15 Jun 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 32 2 0 15 Jun 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju François Fleuret AAML 92 16 0 14 Jun 2022
Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk Naresh R Shanbhag AAML 61 7 0 14 Jun 2022
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training B. Manoj Meysam Sadeghi Erik G. Larsson AAML 64 11 0 14 Jun 2022
Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations Kaustubh Sridhar Souradeep Dutta Ramneet Kaur James Weimer O. Sokolsky Insup Lee AAML 55 4 0 13 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 75 12 0 13 Jun 2022
Pixel to Binary Embedding Towards Robustness for CNNs Ikki Kishida Hideki Nakayama 140 0 0 13 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 89 6 0 11 Jun 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems Shehzeen Samarah Hussain Todd P. Huster Chris Mesterharm Paarth Neekhara Kevin R. An Malhar Jere Harshvardhan Digvijay Sikka F. Koushanfar AAML 92 6 0 09 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks Oriel BenShmuel AAML 36 0 0 09 Jun 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing Zhongkai Hao Chengyang Ying Yinpeng Dong Hang Su Jun Zhu Jian Song AAML 92 21 0 09 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 85 2 0 08 Jun 2022
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Feng Wang Jiashui Wang AAML 110 40 0 07 Jun 2022
Building Robust Ensembles via Margin Boosting Dinghuai Zhang Hongyang R. Zhang Aaron Courville Yoshua Bengio Pradeep Ravikumar A. Suggala AAML UQCV 84 16 0 07 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 97 9 0 06 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis Raphael Ettedgui Alexandre Araujo Rafael Pinot Y. Chevaleyre Jamal Atif AAML 67 3 0 03 Jun 2022
Gradient Obfuscation Checklist Test Gives a False Sense of Security Nikola Popovic D. Paudel Thomas Probst Luc Van Gool AAML 84 6 0 03 Jun 2022