Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks

19 May 2020

Papers citing "Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks"

8 / 8 papers shown

Title
Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai H. Chen AAML MedIm 35 16 0 24 Mar 2023
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection Linhai Ma Liang Liang OOD 19 6 0 02 Jun 2022
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training Jiahao Shao Shijia Geng Zhaoji Fu Wei-Zhao Xu Tong Liu linda Qiao AAML 13 4 0 14 Mar 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 194 345 0 15 Dec 2021
A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal Classification Linhai Ma Liang Liang 17 21 0 19 Oct 2021
Bridging the Gap Between Adversarial Robustness and Optimization Bias Fartash Faghri Sven Gowal C. N. Vasconcelos David J. Fleet Fabian Pedregosa Nicolas Le Roux AAML 189 7 0 17 Feb 2021
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 131 103 0 17 Oct 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016