Adaptive Diffusion Freezing: Privacy-preserving Diffusion Models Against Membership Inference Attacks

Diffusion models have achieved remarkable success in generative tasks across various areas, however their training process raises significant privacy concerns, particularly under membership inference attacks (MIAs). Prior studies on privacy-preserving of diffusion models fail to balance privacy, uti