Hong Zhu

Unveiling the Backdoor’s Suppression Effect for Backdoor Defence

Deep neural networks (DNNs) are vulnerable to backdoor/Trojan attacks, posing a severe threat to security-critical applications. In this paper, we investigate a scenario in which two different backdoors are successively embedded into one model and report that the later-embedded backdoor has a “suppression” effect on th...