Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games

23 October 2022

Papers citing "Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games"

3 / 3 papers shown

Title
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 31 11 0 30 Oct 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning Ethan Rathbun Kaleel Mahmood Sohaib Ahmad Caiwen Ding Marten van Dijk AAML 19 4 0 26 Nov 2022