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
Randomized Smoothing of All Shapes and Sizes Greg Yang Tony Duan J. E. Hu Hadi Salman Ilya P. Razenshteyn Jungshian Li AAML 123 216 0 19 Feb 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness Samuel Yeom Matt Fredrikson AAML 90 27 0 18 Feb 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness Huijie Feng Chunpeng Wu Guoyang Chen Weifeng Zhang Y. Ning AAML 76 11 0 17 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness Minhao Cheng Qi Lei Pin-Yu Chen Inderjit Dhillon Cho-Jui Hsieh OOD AAML 110 117 0 17 Feb 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 98 123 0 14 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 127 122 0 13 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen Cho-Jui Hsieh 115 207 0 12 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 97 64 0 11 Feb 2020
Adversarial Data Encryption Yingdong Hu Liang Zhang W. Shan Xiaoxiao Qin Jinghuai Qi Zhenzhou Wu Yang Yuan FedML MedIm 54 0 0 10 Feb 2020
$Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images$ Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images Avrim Blum Travis Dick N. Manoj Hongyang R. Zhang AAML 107 79 0 10 Feb 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 186 84 0 09 Feb 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi 85 96 0 08 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks Adam Dziedzic S. Krishnan OOD AAML 86 1 0 08 Feb 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing Elan Rosenfeld Ezra Winston Pradeep Ravikumar J. Zico Kolter OOD AAML 114 160 0 07 Feb 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers Xiao Zhang Dongrui Wu L. Ding Hanbin Luo Chin-Teng Lin T. Jung Ricardo Chavarriaga AAML 91 60 0 30 Jan 2020
Safe Predictors for Enforcing Input-Output Specifications Stephen Mell Olivia M. Brown Justin A. Goodwin Sung-Hyun Son 48 6 0 29 Jan 2020
HRFA: High-Resolution Feature-based Attack Jia Cai Sizhe Chen Peidong Zhang Chengjin Sun Xiaolin Huang AAML 75 0 0 21 Jan 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 103 64 0 16 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 121 105 0 16 Jan 2020
On the Resilience of Biometric Authentication Systems against Random Inputs Benjamin Zi Hao Zhao Hassan Jameel Asghar M. Kâafar AAML 140 23 0 13 Jan 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 270 1,184 0 12 Jan 2020
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach Serena Booth Ankit J. Shah Yilun Zhou J. Shah BDL 44 1 0 09 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai Chen Dan Di He Huan Zhang Boqing Gong Pradeep Ravikumar Cho-Jui Hsieh Liwei Wang OOD AAML 126 178 0 08 Jan 2020
Efficient Adversarial Training with Transferable Adversarial Examples Haizhong Zheng Ziqi Zhang Juncheng Gu Honglak Lee A. Prakash AAML 92 109 0 27 Dec 2019
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 110 36 0 26 Dec 2019
Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures S. Bagchi Vaneet Aggarwal Somali Chaterji F. Douglis Aly El Gamal ... K. Marais Prateek Mittal Shaoshuai Mou Xiaokang Qiu G. Scutari AI4CE 160 1 0 25 Dec 2019
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing Jinyuan Jia Xiaoyu Cao Binghui Wang Neil Zhenqiang Gong AAML 67 96 0 20 Dec 2019
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 115 68 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 59 6 0 19 Dec 2019
Incorporating Unlabeled Data into Distributionally Robust Learning Charlie Frogner Sebastian Claici Edward Chien Justin Solomon OOD 78 26 0 16 Dec 2019
Constructing a provably adversarially-robust classifier from a high accuracy one Grzegorz Gluch R. Urbanke AAML 54 2 0 16 Dec 2019
Statistically Robust Neural Network Classification Benjie Wang Stefan Webb Tom Rainforth OOD AAML 99 19 0 10 Dec 2019
Training Provably Robust Models by Polyhedral Envelope Regularization Chen Liu Mathieu Salzmann Sabine Süsstrunk AAML 78 8 0 10 Dec 2019
Adversarial Risk via Optimal Transport and Optimal Couplings Muni Sreenivas Pydi Varun Jog 94 60 0 05 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 83 79 0 03 Dec 2019
Cost-Aware Robust Tree Ensembles for Security Applications Yizheng Chen Shiqi Wang Weifan Jiang Asaf Cidon Suman Jana AAML OOD 59 5 0 03 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 233 997 0 29 Nov 2019
Fantastic Four: Differentiable Bounds on Singular Values of Convolution Layers Sahil Singla Soheil Feizi AAML 70 8 0 22 Nov 2019
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation Alexander Levine Soheil Feizi AAML 89 107 0 21 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine L. Hermann Ting Chen Simon Kornblith CVBM 100 21 0 20 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 123 13 0 20 Nov 2019
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? Jingfeng Zhang Bo Han Gang Niu Tongliang Liu Masashi Sugiyama 128 6 0 20 Nov 2019
Smoothed Inference for Adversarially-Trained Models Yaniv Nemcovsky Evgenii Zheltonozhskii Chaim Baskin Brian Chmiel Maxim Fishman A. Bronstein A. Mendelson AAML FedML 53 2 0 17 Nov 2019
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory Arash Rahnama A. Nguyen Edward Raff AAML 56 20 0 12 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 132 151 0 06 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li Saminul Haque Cem Anil James Lucas Roger C. Grosse Joern-Henrik Jacobsen 155 116 0 03 Nov 2019
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks Shai Rozenberg G. Elidan Ran El-Yaniv AAML 53 1 0 03 Nov 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 122 96 0 28 Oct 2019
Diametrical Risk Minimization: Theory and Computations Matthew Norton J. Royset 84 19 0 24 Oct 2019
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks Alexander Levine Soheil Feizi AAML 75 61 0 23 Oct 2019