NeurIPS 2020

Adversarial Training is a Form of Data-dependent Operator Norm Regularization

Meta Review

This paper establishes a connection between adversarial training and operator norm regularization, which provides further insight into robustness in neural networks. The theoretical results are interesting and the analysis is thorough, including an empirical evaluation. This work should be interesting to anyone studying the theoretical properties and practical implications of adversarial training.