Projected Gradient Unlearning for Text-to-Image Diffusion Models: Defending Against Concept Revival Attacks
arXiv:2604.21041v1 Announce Type: new
Abstract: Machine unlearning for text-to-image diffusion models aims to selectively remove undesirable concepts from pre-trained models without costly retraining. Current unlearning methods share a common weakness…