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
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 380 707 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 142 48 0 19 Oct 2020
Poisoned classifiers are not only backdoored, they are fundamentally broken Mingjie Sun Siddhant Agarwal J. Zico Kolter 68 26 0 18 Oct 2020
Weight-Covariance Alignment for Adversarially Robust Neural Networks Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales OOD AAML 97 23 0 17 Oct 2020
Higher-Order Certification for Randomized Smoothing Jeet Mohapatra Ching-Yun Ko Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 80 45 0 13 Oct 2020
To be Robust or to be Fair: Towards Fairness in Adversarial Training Han Xu Xiaorui Liu Yaxin Li Anil K. Jain Jiliang Tang 83 182 0 13 Oct 2020
Affine-Invariant Robust Training Oriol Barbany OOD AAML 22 0 0 08 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples Sven Gowal Chongli Qin J. Uesato Timothy A. Mann Pushmeet Kohli AAML 99 331 0 07 Oct 2020
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective Philipp Benz Chaoning Zhang In So Kweon AAML 74 41 0 07 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Yue Liu Jingjing Liu AAML 223 117 0 05 Oct 2020
Adversarial Boot Camp: label free certified robustness in one epoch Ryan Campbell Chris Finlay Adam M. Oberman AAML 55 0 0 05 Oct 2020
Understanding Catastrophic Overfitting in Single-step Adversarial Training Hoki Kim Woojin Lee Jaewook Lee AAML 143 112 0 05 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan Kankanhalli AAML 118 279 0 05 Oct 2020
Lipschitz Bounded Equilibrium Networks Max Revay Ruigang Wang I. Manchester 70 76 0 05 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 115 95 0 03 Oct 2020
Efficient Robust Training via Backward Smoothing Jinghui Chen Yu Cheng Zhe Gan Quanquan Gu Jingjing Liu AAML 90 40 0 03 Oct 2020
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng Cynthia Dwork Jialiang Wang Linjun Zhang TDI 49 12 0 03 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 67 5 0 02 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 92 270 0 01 Oct 2020
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients Yifei Huang Yaodong Yu Hongyang R. Zhang Yi-An Ma Yuan Yao AAML 90 27 0 28 Sep 2020
Adversarial robustness via stochastic regularization of neural activation sensitivity Gil Fidel Ron Bitton Ziv Katzir A. Shabtai AAML 44 1 0 23 Sep 2020
Semantics-Preserving Adversarial Training Won-Ok Lee Hanbit Lee Sang-goo Lee AAML 47 2 0 23 Sep 2020
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time Ferran Alet Maria Bauza Kenji Kawaguchi Nurullah Giray Kuru Tomas Lozano-Perez L. Kaelbling AI4CE 128 16 0 22 Sep 2020
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing Maurice Weber Nana Liu Yue Liu Ce Zhang Zhikuan Zhao AAML 87 32 0 21 Sep 2020
Adversarial Training with Stochastic Weight Average Joong-won Hwang Youngwan Lee Sungchan Oh Yuseok Bae OOD AAML 80 11 0 21 Sep 2020
Efficient Certification of Spatial Robustness Anian Ruoss Maximilian Baader Mislav Balunović Martin Vechev AAML 75 26 0 19 Sep 2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Youwei Liang Dong Huang 79 11 0 17 Sep 2020
Certifying Confidence via Randomized Smoothing Aounon Kumar Alexander Levine Soheil Feizi Tom Goldstein UQCV 111 40 0 17 Sep 2020
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses Ambar Pal René Vidal AAML 113 27 0 14 Sep 2020
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing Zhidong Gao Rui Hu Yanmin Gong AAML OOD 62 16 0 12 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 141 131 0 09 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 67 28 0 06 Sep 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa Soheil Feizi AAML 128 60 0 05 Sep 2020
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings John Mitros A. Pakrashi Brian Mac Namee UQCV 116 2 0 03 Sep 2020
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance A. Lohn 56 13 0 02 Sep 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski Johannes Klicpera Stephan Günnemann AAML 151 87 0 29 Aug 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg Chinmay Hegde OOD 135 11 0 27 Aug 2020
Privacy Preserving Recalibration under Domain Shift Rachel Luo Shengjia Zhao Jiaming Song Jonathan Kuck Stefano Ermon Silvio Savarese 57 3 0 21 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 106 6 0 13 Aug 2020
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks Jinyuan Jia Xiaoyu Cao Neil Zhenqiang Gong SILM 112 136 0 11 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 87 32 0 06 Aug 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 159 150 0 31 Jul 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 120 248 0 30 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 92 16 0 29 Jul 2020
Transferred Discrepancy: Quantifying the Difference Between Representations Yunzhen Feng Runtian Zhai Di He Liwei Wang Bin Dong DRL 48 11 0 24 Jul 2020
Provably Robust Adversarial Examples Dimitar I. Dimitrov Gagandeep Singh Timon Gehr Martin Vechev AAML 77 12 0 23 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 74 6 0 22 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 193 624 0 17 Jul 2020
Understanding and Diagnosing Vulnerability under Adversarial Attacks Haizhong Zheng Ziqi Zhang Honglak Lee A. Prakash FAtt AAML 76 6 0 17 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 159 429 0 16 Jul 2020