On the Difficulty of Defending Contrastive Learning against Backdoor Attacks

Changjiang Li, Ren Pang, Bochuan Cao +4

Recent studies have shown that contrastive learning, like supervised learning, is highly vulnerable to backdoor attacks wherein malicious functions are injected into target models,…