2024
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
ICLR 2024poster
Machine unlearning aims to remove information derived from forgotten data while preserving that of the remaining dataset in a well-trained model. With the increasing emphasis on data privacy, several approaches to machine unlearning have emerged. However, these methods typically rely on complete sup…