Preprint Open access
Learning Normal Diffusion Dynamics for Backdoor Defense in Text-to-Image Models
Backdoor attacks pose a serious threat to the secure deployment of text-to-image (T2I) diffusion models. Existing defenses typically detect backdoors from specific abnormal patterns in internal representations, which may limit their generalizability with the emergence of increasingly diverse attack mechanisms. In this …