Jiancheng Liu*

Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning

"The trustworthy machine learning (ML) community is increasingly recognizing the crucial need for models capable of selectively ‘unlearning’ data points after training. This leads to the problem of machine unlearning (), aiming to eliminate the influence of chosen data points on model performance, w…