Deep learning models are vulnerable to backdoor attacks, where adversaries inject malicious functionality during training that activates on trigger inputs at inference time. Extensive research has focused on developing stealthy backdoor attacks to evade detection and defense mechanisms. However, these approaches still have limitations that leave th...

Unlearn to Relearn Backdoors: Deferred Backdoor Functionality Attacks on Deep Learning Models