On the importance of multiple training seeds for evaluating machine unlearning

Jamie Lanyon, Axel Finke, Petros Andreou +1

Machine unlearning aims to remove the influence of certain data points from a trained model without costly retraining. Most practical unlearning algorithms are only approximate and…