Effective and Robust Adversarial Training against Data and Label Corruptions

Peng-Fei Zhang, Zi Huang, Xin-Shun Xu +1

Corruptions due to data perturbations and label noise are prevalent in the datasets from unreliable sources, which poses significant threats to model training. Despite existing eff…