Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
arXiv:2605.12122v1 Announce Type: cross
Abstract: Unlearning specific concepts in text-to-image diffusion models has become increasingly important for preventing undesirable content generation. Among prior approaches, sparse autoencoder (SAE)-based me…