Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks

Jingfeng Zhang, Bo Song, Bo Han +3

Adversarial training (AT) is a robust learning algorithm that can defend against adversarial attacks in the inference phase and mitigate the side effects of corrupted data in the t…