Xiaodan Li

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

2023

Recent studies have shown that higher accuracy on ImageNet usually leads to better robustness against different corruptions. Therefore, in this paper, instead of following the traditional research paradigm that investigates new out-of-distribution corruptions or perturbations …

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness

2023 · arXiv (Cornell University)

A prevailing belief in attack and defense community is that the higher flatness of adversarial examples enables their better cross-model transferability, leading to a growing interest in employing sharpness-aware minimization and its variants. However, the …