Enhancing adversarial defense robustness through sensitive prediction region mining
This paper examines the response characteristics of intelligent learning models to sensitive adversarial samples in white-box attack scenarios and introduces a robust feature extraction mechanism based on the stability of sensitive samples, and designs a robust training frame work that incorporates sensitive sample min...