Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images

George R. Nahass, Zhu Wang, Homa Rashidisabet +8

Machine unlearning aims to remove the influence of specific training samples from a trained model without full retraining. While prior work has largely focused on privacy-motivated…