Unlearning in Diffusion models under Data Constraints: A Variational Inference Approach

ArXi:2510.04058v4 Announce Type: replace For a responsible and safe deployment of diffusion models in various domains, regulating the generated outputs from these models is desirable because such models could generate undesired, violent, and obscene outputs. To tackle this problem, recent works use machine unlearning methodology to forget