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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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On the Convergence of Certified Robust Training with Interval Bound Propagation Yihan Wang Zhouxing Shi Quanquan Gu Cho-Jui Hsieh 62 9 0 16 Mar 2022
Provable Adversarial Robustness for Fractional Lp Threat Models Alexander Levine Soheil Feizi 25 2 0 16 Mar 2022
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study Binxiao Huang Chaofan Tao R. Lin Ngai Wong AAML OOD 60 3 0 16 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 62 60 0 13 Mar 2022
A Survey of Adversarial Defences and Robustness in NLP Shreyansh Goyal Sumanth Doddapaneni Mitesh M.Khapra B. Ravindran AAML 95 30 0 12 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 89 48 0 11 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 111 61 0 10 Mar 2022
$Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees$ Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees D. Thaker Paris V. Giampouras René Vidal AAML 44 6 0 09 Mar 2022
$Binary Classification Under $\ell_0$ Attacks for General Noise Distribution$ Binary Classification Under $\ell_0$ Attacks for General Noise Distribution Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 104 0 0 09 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 133 10 0 09 Mar 2022
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition Yi Chang Sofiane Laridi Zhao Ren Gregory Palmer Björn W. Schuller M. Fisichella FedML AAML 72 14 0 09 Mar 2022
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA Md. Imran Hossen X. Hei 71 5 0 05 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 110 18 0 02 Mar 2022
Detecting Adversarial Perturbations in Multi-Task Perception Marvin Klingner V. Kumar S. Yogamani Andreas Bär Tim Fingscheidt AAML 81 15 0 02 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 239 70 0 28 Feb 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 99 45 0 27 Feb 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 92 13 0 26 Feb 2022
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers Cong Xu Wei Zhang Jun Wang Min Yang AAML 62 2 0 25 Feb 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 61 18 0 24 Feb 2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness Beomsu Kim Junghoon Seo AAML 105 0 0 21 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 120 125 0 21 Feb 2022
Transferring Adversarial Robustness Through Robust Representation Matching Pratik Vaishnavi Kevin Eykholt Amir Rahmati OOD AAML 67 11 0 21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 153 50 0 20 Feb 2022
Exploring Adversarially Robust Training for Unsupervised Domain Adaptation Shao-Yuan Lo Vishal M. Patel AAML 89 8 0 18 Feb 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem Abderrahmen Amich Birhanu Eshete OOD 35 4 0 18 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 100 8 0 15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 105 16 0 15 Feb 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons Haibo Jin Ruoxi Chen Haibin Zheng Jinyin Chen Yao Cheng Yue Yu Xianglong Liu AAML 59 6 0 12 Feb 2022
White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense Shahrukh Khan Mahnoor Shahid Navdeeppal Singh AAML 41 3 0 11 Feb 2022
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles Ashish Hooda Neal Mangaokar Ryan Feng Kassem Fawaz S. Jha Atul Prakash 95 11 0 11 Feb 2022
Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign Axi Niu Kang Zhang Chaoning Zhang Chenshuang Zhang In So Kweon Chang D. Yoo Yanning Zhang AAML 89 6 0 11 Feb 2022
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self Attention Shahrukh Khan Mahnoor Shahid 52 1 0 11 Feb 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition Juan C. Pérez Motasem Alfarra Ali K. Thabet Pablo Arbelaez Guohao Li AAML 77 1 0 10 Feb 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios Jung Im Choi Qing Tian AAML 73 39 0 10 Feb 2022
Gradient Methods Provably Converge to Non-Robust Networks Gal Vardi Gilad Yehudai Ohad Shamir 109 28 0 09 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning Xiaoyong Yuan Lan Zhang AAML 112 45 0 07 Feb 2022
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks Salijona Dyrmishi Salah Ghamizi Thibault Simonetto Yves Le Traon Maxime Cordy AAML 88 20 0 07 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 64 2 0 07 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 85 23 0 03 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations Weiqi Peng Jinghui Chen AAML 67 5 0 03 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks Chen Liu Ziqi Zhao Sabine Süsstrunk Mathieu Salzmann TPM AAML MQ 87 4 0 03 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 109 43 0 02 Feb 2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients Hanbin Hong Yuan Hong Yu Kong AAML 67 2 0 02 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 117 14 0 31 Jan 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 76 6 0 31 Jan 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 268 17 0 31 Jan 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 71 1 0 29 Jan 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi OOD 108 7 0 28 Jan 2022
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu GAN AAML 111 20 0 24 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 58 2 0 23 Jan 2022