Sunbeom Jeong

Continual Data Unlearning in Diffusion Models via Transition-based Regularization

A continual data unlearning framework that uses completed deletion transitions as directional references to regularize future updates and achieves a better balance between deletion persistence and generative utility than existing unlearning baselines as requests accumulate.