v1v2 (latest)

Fixing Data Augmentation to Improve Adversarial Robustness

2 March 2021

Sylvestre-Alvise Rebuffi

Papers citing "Fixing Data Augmentation to Improve Adversarial Robustness"

35 / 185 papers shown

Title
Self-Ensemble Adversarial Training for Improved RobustnessInternational Conference on Learning Representations (ICLR), 2022 Hongjun Wang Yisen Wang OOD AAML 182 57 0 18 Mar 2022
On the benefits of knowledge distillation for adversarial robustness Javier Maroto Guillermo Ortiz-Jiménez P. Frossard AAML FedML 130 27 0 14 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack StrategyComputer Vision and Pattern Recognition (CVPR), 2022 Yang Liu Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 128 169 0 13 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto AttackComputer Vision and Pattern Recognition (CVPR), 2022 Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 211 71 0 10 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time DefensesInternational Conference on Machine Learning (ICML), 2022 Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 374 79 0 28 Feb 2022
Understanding Adversarial Robustness from Feature Maps of Convolutional LayersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Cong Xu Wei Zhang Jun Wang Min Yang AAML 110 2 0 25 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) DefinitionInternational Conference on Machine Learning (ICML), 2022 Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 323 144 0 21 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 153 6 0 11 Feb 2022
NoisyMix: Boosting Model Robustness to Common CorruptionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 N. Benjamin Erichson Soon Hoe Lim Winnie Xu Francisco Utrera Ziang Cao Michael W. Mahoney 243 22 0 02 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case PerformanceInternational Conference on Machine Learning (ICML), 2022 Avi Schwarzschild Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 334 48 0 02 Feb 2022
Finding Biological Plausibility for Adversarially Robust Features via Metameric TasksInternational Conference on Learning Representations (ICLR), 2022 A. Harrington Arturo Deza OOD AAML 277 22 0 02 Feb 2022
Improving Robustness by Enhancing Weak SubnetsEuropean Conference on Computer Vision (ECCV), 2022 Yong Guo David Stutz Bernt Schiele AAML 311 16 0 30 Jan 2022
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic ContradictionNetwork and Distributed System Security Symposium (NDSS), 2022 Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu GAN AAML 186 24 0 24 Jan 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural NetworksInternational Conference on Machine Learning (ICML), 2021 Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 118 5 0 28 Dec 2021
Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits Amina Asif K. Rajpoot David R. J. Snead F. Minhas Nasir M. Rajpoot 150 5 0 17 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 133 23 0 01 Dec 2021
DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks Yixiang Wang Jiqiang Liu Xiaolin Chang Jianhua Wang Ricardo J. Rodríguez AAML 153 37 0 14 Oct 2021
Parameterizing Activation Functions for Adversarial Robustness Sihui Dai Saeed Mahloujifar Prateek Mittal AAML 152 35 0 11 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong Liyuan Liu Jingbo Shang NoLa AAML 318 25 0 07 Oct 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise Souvik Kundu Massoud Pedram Peter A. Beerel AAML 166 96 0 06 Oct 2021
Noisy Feature Mixup Soon Hoe Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 302 39 0 05 Oct 2021
Score-Based Generative Classifiers Roland S. Zimmermann Lukas Schott Yang Song Benjamin A. Dunn David A. Klindt DiffM 207 73 0 01 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 571 335 0 28 Sep 2021
Bridged Adversarial TrainingNeural Networks (NN), 2021 Hoki Kim Woojin Lee Sungyoon Lee Jaewook Lee AAML GAN 103 10 0 25 Aug 2021
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying ThemInternational Conference on Machine Learning (ICML), 2021 Florian Tramèr AAML 252 79 0 24 Jul 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples ApartComputer Vision and Pattern Recognition (CVPR), 2021 Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 142 23 0 31 May 2021
$Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models$ Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models Ameya D. Patil Michael Tuttle Alex Schwing Naresh R Shanbhag AAML 162 0 0 31 May 2021
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?International Conference on Learning Representations (ICLR), 2021 Vikash Sehwag Saeed Mahloujifar Tinashe Handina Sihui Dai Chong Xiang M. Chiang Prateek Mittal OOD 198 143 0 19 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 417 12 0 01 Apr 2021
Consistency Regularization for Adversarial RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2021 Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 248 69 0 08 Mar 2021
Towards Robust Neural Networks via Orthogonal DiversityPattern Recognition (Pattern Recognit.), 2020 Kun Fang Qinghua Tao Yingwen Wu Tao Li Jia Cai Feipeng Cai Xiaolin Huang Jie Yang AAML 163 11 0 23 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 607 803 0 19 Oct 2020
vWitness: Certifying Web Page Interactions with Computer VisionDependable Systems and Networks (DSN), 2020 Shuang He Lianying Zhao David Lie 95 1 0 31 Jul 2020
Stylized Adversarial DefenseIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 177 18 0 29 Jul 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacksAAAI Conference on Artificial Intelligence (AAAI), 2020 Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 238 123 0 23 Jun 2020