Mingsheng Xue

MUter: Machine Unlearning on Adversarially Trained Models

Machine unlearning is an emerging task of removing the influence of selected training datapoints from a trained model upon data deletion requests, which echoes the widely enforced data regulations mandating the Right to be Forgotten. Many unlearning methods have been proposed recently, achieving sig…