Towards Natural Machine Unlearning
This method substantially reduces the over-forgetting and leads to strong robustness to hyperparameters, making it a promising candidate for practical machine unlearning.
May 24, 2024
Remaining-data-free Machine Unlearning by Suppressing Sample Contribution
A novel method, namely MU-Mis (Machine Unlearning by Minimizing input sensitivity), to suppress the contribution of the forgetting data, which is the first time that a remaining-data-free method can outperform state-of-the-art unlearning methods that utilize the remaining data.
Feb 23, 2024