Fast Propagation is Better: Accelerating Single-Step Adversarial
Training via Sampling Subnetworks

Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks

24 October 2023

Jindong Gu

Papers citing "Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks"

6 / 6 papers shown

Title
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution Yihao Huang Xin Luo Qing Guo Felix Juefei-Xu Xiaojun Jia Weikai Miao G. Pu Yang Liu 48 1 0 06 Mar 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 21 0 0 19 Oct 2024
Texture Re-scalable Universal Adversarial Perturbation Yihao Huang Qing Guo Felix Juefei-Xu Ming Hu Xiaojun Jia Xiaochun Cao Geguang Pu Yang Liu AAML 27 7 0 10 Jun 2024
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 37 31 0 16 Sep 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 186 344 0 15 Dec 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020