ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

Xiaodan Li, Yuefeng Chen, Yao Zhu +3

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 trad…