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Understanding and Improving Fast Adversarial Training

6 July 2020

Maksym Andriushchenko

Nicolas Flammarion

AAML

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Papers citing "Understanding and Improving Fast Adversarial Training"

43 / 193 papers shown

Title
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 108 59 0 24 Nov 2021
Local Linearity and Double Descent in Catastrophic Overfitting Varun Sivashankar Nikil Selvam AAML 23 0 0 21 Nov 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation Weipeng Xu Pengzhi Chu Renhao Xie Xiongziyan Xiao Hongcheng Huang AAML ObjD 66 4 0 14 Nov 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps Muhammad Awais Fengwei Zhou Chuanlong Xie Jiawei Li Sung-Ho Bae Zhenguo Li AAML 81 18 0 09 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 93 14 0 02 Nov 2021
Improving Local Effectiveness for Global robust training Jingyue Lu M. P. Kumar AAML 49 0 0 26 Oct 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 93 31 0 14 Oct 2021
Boosting Fast Adversarial Training with Learnable Adversarial Initialization Xiaojun Jia Yong Zhang Baoyuan Wu Jue Wang Xiaochun Cao AAML 102 55 0 11 Oct 2021
Calibrated Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 115 3 0 01 Oct 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining Weizhe Hua Yichi Zhang Chuan Guo Zhiru Zhang G. E. Suh OOD 103 16 0 29 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Adaptive perturbation adversarial training: based on reinforcement learning Zhi-pin Nie Ying Lin Sp Ren Lan Zhang AAML 35 1 0 30 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 162 242 0 01 Aug 2021
Single-Step Adversarial Training for Semantic Segmentation D. Wiens Barbara Hammer SSeg AAML 66 1 0 30 Jun 2021
Multi-stage Optimization based Adversarial Training Xiaosen Wang Chuanbiao Song Liwei Wang Kun He AAML 31 5 0 26 Jun 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang Feng Liu Bo Han Tongliang Liu Chen Gong Gang Niu Mingyuan Zhou Masashi Sugiyama AAML 83 65 0 15 Jun 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation Prithvijit Chattopadhyay Judy Hoffman Roozbeh Mottaghi Aniruddha Kembhavi 84 55 0 08 Jun 2021
Concurrent Adversarial Learning for Large-Batch Training Yong Liu Xiangning Chen Minhao Cheng Cho-Jui Hsieh Yang You ODL 85 13 0 01 Jun 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 45 18 0 31 May 2021
Deep Repulsive Prototypes for Adversarial Robustness A. Serban E. Poll Joost Visser OOD 52 3 0 26 May 2021
Understanding Catastrophic Overfitting in Adversarial Training Peilin Kang Seyed-Mohsen Moosavi-Dezfooli AAML 63 16 0 06 May 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 105 67 0 09 Apr 2021
The art of defense: letting networks fool the attacker Jinlai Zhang Lyvjie Chen Binbin Liu Bojun Ouyang Jihong Zhu Minchi Kuang Houqing Wang Yanmei Meng AAML 3DPC 78 16 0 07 Apr 2021
Reliably fast adversarial training via latent adversarial perturbation Geon Yeong Park Sang Wan Lee AAML 73 28 0 04 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 122 11 0 01 Apr 2021
ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training Zeinab Golgooni Mehrdad Saberi Masih Eskandar M. Rohban AAML 37 14 0 29 Mar 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training Mohammad Azizmalayeri M. Rohban OOD 80 4 0 29 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen Yu Cheng Zhe Gan Jianfeng Wang Lijuan Wang Zhangyang Wang Jingjing Liu AAML ViT 71 19 0 22 Mar 2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction Haowen Liu Ping Yi Hsiao-Ying Lin Jie Shi Weidong Qiu AAML 34 2 0 11 Mar 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude Fu Lee Wang Yanghao Zhang Yanbin Zheng Wenjie Ruan 69 1 0 04 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 72 103 0 03 Mar 2021
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 97 47 0 20 Feb 2021
Robust Single-step Adversarial Training with Regularizer Lehui Xie Yaopeng Wang Jianwei Yin Ximeng Liu AAML 51 1 0 05 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 192 496 0 02 Feb 2021
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training Theodoros Tsiligkaridis Jay Roberts AAML 206 11 0 22 Dec 2020
Using Feature Alignment Can Improve Clean Average Precision and Adversarial Robustness in Object Detection Weipeng Xu Hongcheng Huang Shaoyou Pan ObjD 62 7 0 08 Dec 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 87 8 0 03 Nov 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 355 707 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 121 48 0 19 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 73 331 0 07 Oct 2020
Understanding Catastrophic Overfitting in Single-step Adversarial Training Hoki Kim Woojin Lee Jaewook Lee AAML 134 112 0 05 Oct 2020
Efficient Robust Training via Backward Smoothing Jinghui Chen Yu Cheng Zhe Gan Quanquan Gu Jingjing Liu AAML 83 40 0 03 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 90 270 0 01 Oct 2020