Are Adversarial Examples Created Equal? A Learnable Weighted Minimax
Risk for Robustness under Non-uniform Attacks

Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks

24 October 2020

Furong Huang

Papers citing "Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks"

7 / 7 papers shown

Title
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark Gales AAML 33 3 0 30 Jan 2023
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Gal Mishne OOD 33 4 0 20 Oct 2022
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup Huimin Zeng Zhenrui Yue Ziyi Kou Lanyu Shang Yang Zhang Dong Wang SSL 38 6 0 06 Oct 2022
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 134 103 0 17 Oct 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 232 438 0 25 Sep 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016