2 code implementations • NeurIPS 2023 • Runqi Lin, Chaojian Yu, Tongliang Liu
Specifically, we design a novel method, termed Abnormal Adversarial Examples Regularization (AAER), which explicitly regularizes the variation of AAEs to hinder the classifier from becoming distorted.
1 code implementation • 13 Oct 2023 • Runqi Lin, Chaojian Yu, Bo Han, Tongliang Liu
In this work, we adopt a unified perspective by solely focusing on natural patterns to explore different types of overfitting.