v1v2 (latest)

Certified Adversarial Robustness via Randomized Smoothing

8 February 2019

Jeremy M. Cohen

Elan Rosenfeld

J. Zico Kolter

AAML

ArXiv (abs)PDF HTML Github (390★)

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

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Title
Enhancing Certified Robustness via Smoothed Weighted Ensembling Chizhou Liu Yunzhen Feng Ranran Wang Bin Dong AAML 80 12 0 19 May 2020
Learning and Inference in Imaginary Noise Models Saeed Saremi BDL DRL 119 2 0 18 May 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking Chong Xiang A. Bhagoji Vikash Sehwag Prateek Mittal AAML 100 29 0 17 May 2020
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness Tianhang Zheng Di Wang Baochun Li Jinhui Xu AAML 47 0 0 15 May 2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition Tianhang Zheng Sheng Liu Changyou Chen Junsong Yuan Baochun Li K. Ren AAML 85 17 0 14 May 2020
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 98 119 0 11 May 2020
Provable Robust Classification via Learned Smoothed Densities Saeed Saremi R. Srivastava AAML 96 3 0 09 May 2020
Towards Robustness against Unsuspicious Adversarial Examples Liang Tong Minzhe Guo A. Prakash Yevgeniy Vorobeychik AAML 46 0 0 08 May 2020
Towards Frequency-Based Explanation for Robust CNN Zifan Wang Yilin Yang Ankit Shrivastava Varun Rawal Zihao Ding AAML FAtt 62 49 0 06 May 2020
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary Hyeongji Kim P. Parviainen K. Malde 18 0 0 06 May 2020
Depth-2 Neural Networks Under a Data-Poisoning Attack Sayar Karmakar Anirbit Mukherjee Ramchandran Muthukumar 72 7 0 04 May 2020
Robust Encodings: A Framework for Combating Adversarial Typos Erik Jones Robin Jia Aditi Raghunathan Percy Liang AAML 340 104 0 04 May 2020
Robustness Certification of Generative Models M. Mirman Timon Gehr Martin Vechev AAML 70 21 0 30 Apr 2020
Improved Image Wasserstein Attacks and Defenses J. E. Hu Adith Swaminathan Hadi Salman Greg Yang AAML OOD 95 10 0 26 Apr 2020
Towards Feature Space Adversarial Attack Qiuling Xu Guanhong Tao Shuyang Cheng Xinming Zhang GAN AAML 81 25 0 26 Apr 2020
Certifying Joint Adversarial Robustness for Model Ensembles M. Jonas David Evans AAML 68 2 0 21 Apr 2020
Adversarial Robustness Guarantees for Random Deep Neural Networks Giacomo De Palma B. Kiani S. Lloyd AAML OOD 64 8 0 13 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 70 42 0 11 Apr 2020
Luring of transferable adversarial perturbations in the black-box paradigm Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML 62 2 0 10 Apr 2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations Jay Nandy Wynne Hsu Mong Li Lee AAML 71 12 0 05 Apr 2020
Evading Deepfake-Image Detectors with White- and Black-Box Attacks Nicholas Carlini Hany Farid AAML 100 150 0 01 Apr 2020
Towards Deep Learning Models Resistant to Large Perturbations Amirreza Shaeiri Rozhin Nobahari M. Rohban OOD AAML 83 12 0 30 Mar 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 86 252 0 28 Mar 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability Maximilian Augustin Alexander Meinke Matthias Hein OOD 197 102 0 20 Mar 2020
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates Amin Ghiasi Ali Shafahi Tom Goldstein 107 55 0 19 Mar 2020
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Yue Liu AAML 124 164 0 19 Mar 2020
Face-Off: Adversarial Face Obfuscation Varun Chandrasekaran Chuhan Gao Brian Tang Kassem Fawaz S. Jha Suman Banerjee PICV 93 44 0 19 Mar 2020
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks Y. Tashiro Yang Song Stefano Ermon AAML 90 13 0 15 Mar 2020
Certified Defenses for Adversarial Patches Ping Yeh-Chiang Renkun Ni Ahmed Abdelkader Chen Zhu Christoph Studer Tom Goldstein AAML 81 172 0 14 Mar 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 157 26 0 05 Mar 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman Mingjie Sun Greg Yang Ashish Kapoor J. Zico Kolter 101 23 0 04 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 395 1,867 0 03 Mar 2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses Yue Gao Harrison Rosenberg Kassem Fawaz S. Jha Justin Hsu AAML 85 6 0 03 Mar 2020
Hidden Cost of Randomized Smoothing Jeet Mohapatra Ching-Yun Ko Tsui-Wei Weng Weng Sijia Liu Pin-Yu Chen Luca Daniel AAML 85 11 0 02 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 129 67 0 02 Mar 2020
Improving Certified Robustness via Statistical Learning with Logical Reasoning Zhuolin Yang Zhikuan Zhao Wei Ping Jiawei Zhang Linyi Li ... Bojan Karlas Ji Liu Heng Guo Ce Zhang Yue Liu AAML 149 13 0 28 Feb 2020
Certified Defense to Image Transformations via Randomized Smoothing Marc Fischer Maximilian Baader Martin Vechev AAML 98 67 0 27 Feb 2020
TSS: Transformation-Specific Smoothing for Robustness Certification Linyi Li Maurice Weber Xiaojun Xu Luka Rimanic B. Kailkhura Tao Xie Ce Zhang Yue Liu AAML 172 57 0 27 Feb 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 187 813 0 26 Feb 2020
Randomization matters. How to defend against strong adversarial attacks Rafael Pinot Raphael Ettedgui Geovani Rizk Y. Chevaleyre Jamal Atif AAML 145 60 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 82 406 0 26 Feb 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks Alexander Levine Soheil Feizi AAML 110 150 0 25 Feb 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 62 10 0 25 Feb 2020
HYDRA: Pruning Adversarially Robust Neural Networks Vikash Sehwag Shiqi Wang Prateek Mittal Suman Jana AAML 84 25 0 24 Feb 2020
On the Sample Complexity of Adversarial Multi-Source PAC Learning Nikola Konstantinov Elias Frantar Dan Alistarh Christoph H. Lampert 111 18 0 24 Feb 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference Ting-Kuei Hu Tianlong Chen Haotao Wang Zhangyang Wang OOD AAML 3DH 117 84 0 24 Feb 2020
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers Chen Zhu Renkun Ni Ping Yeh-Chiang Hengduo Li Furong Huang Tom Goldstein 87 5 0 22 Feb 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework Dinghuai Zhang Mao Ye Chengyue Gong Zhanxing Zhu Qiang Liu AAML 99 64 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Zhaolin Ren Mao Ye Qiang Liu AAML 82 56 0 20 Feb 2020
Towards Certifiable Adversarial Sample Detection Ilia Shumailov Yiren Zhao Robert D. Mullins Ross J. Anderson AAML 53 13 0 20 Feb 2020