A hybrid framework for effective and efficient machine unlearning

Mingxin Li, Yizhen Yu, Ning Wang +6

Recently machine unlearning (MU) is proposed to remove the imprints of revoked samples from the already trained model parameters, to solve users' privacy concern. Different from th…