Jiaxing Miao

A Durable Machine Unlearning Framework to Nullify Recall of Sensitive Data on Incremental Training

The advancement of data privacy regulations has spurred the development of Machine Unlearning (MU), which is designed to remove the influence of sensitive data from a trained model and results in an unlearned model (ULM). Despite rapid progress in MU techniques, their vulnerabilities remain underexp