LAS-AT: Adversarial Training with Learnable Attack Strategy

13 March 2022

Yong Zhang

Papers citing "LAS-AT: Adversarial Training with Learnable Attack Strategy"

28 / 78 papers shown

Title
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 24 3 0 20 May 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 21 26 0 01 Apr 2023
CAT:Collaborative Adversarial Training Xingbin Liu Huafeng Kuang Xianming Lin Yongjian Wu Rongrong Ji AAML 17 4 0 27 Mar 2023
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing Lin Li Michael W. Spratling AAML 59 4 0 24 Mar 2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification Kun He Xin Liu Yichen Yang Zhou Qin Weigao Wen Hui Xue J. Hopcroft AAML 22 0 0 24 Mar 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks Deqiang Li Shicheng Cui Yun Li Jia Xu Fu Xiao Shouhuai Xu AAML 46 17 0 22 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 23 9 0 29 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 28 18 0 29 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 32 0 0 04 Jan 2023
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong Seyed-Mohsen Moosavi-Dezfooli Jianhuang Lai Xiaohua Xie AAML 35 28 0 01 Nov 2022
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation Fengfan Zhou H. Ling Yuxuan Shi Jiazhong Chen Zongyi Li Ping Li AAML 42 7 0 28 Oct 2022
Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation Jiawei Liang Siyuan Liang Aishan Liu Ke Ma Jingzhi Li Xiaochun Cao VLM 45 15 0 20 Sep 2022
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection Siyuan Liang Longkang Li Yanbo Fan Xiaojun Jia Jingzhi Li Baoyuan Wu Xiaochun Cao AAML 16 34 0 16 Sep 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Heming Cui OOD AAML 22 0 0 17 Aug 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu Hengshuang Zhao Volker Tresp Philip H. S. Torr AAML 13 73 0 25 Jul 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 35 37 0 21 Jul 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 25 37 0 18 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu Jian Liu Yang Bai Jindong Gu Tao Chen Xiaojun Jia Xiaochun Cao AAML WIGM 27 26 0 17 Jul 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 35 0 0 19 May 2022
ALA: Naturalness-aware Adversarial Lightness Attack Yihao Huang Liangru Sun Qing-Wu Guo Felix Juefei Xu Jiayi Zhu Jincao Feng Yang Liu G. Pu AAML 26 10 0 16 Jan 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 345 0 15 Dec 2021
Boosting Fast Adversarial Training with Learnable Adversarial Initialization Xiaojun Jia Yong Zhang Baoyuan Wu Jue Wang Xiaochun Cao AAML 34 54 0 11 Oct 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 11 9 0 24 Feb 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 158 113 0 05 Mar 2020
A Reinforced Generation of Adversarial Examples for Neural Machine Translation Wei Zou Shujian Huang Jun Xie Xinyu Dai Jiajun Chen AAML SILM 25 26 0 09 Nov 2019
Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei Siyuan Liang Ning Chen Xiaochun Cao AAML 72 221 0 30 Nov 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016