2024
Delving Deeper Into Vulnerable Samples in Adversarial Training
ICASSP 2024accepted
Recently, vulnerable samples have been shown to be crucial for improving adversarial training performance. Our analysis on existing vulnerable samples mining methods indicate that existing methods have two problems: 1) valuable connections among different pairs of natural samples and their adversari…