Efficient Unlearning through Maximizing Relearning Convergence Delay

ArXi:2604.09391v1 Announce Type: new Machine unlearning poses challenges in removing mislabeled, contaminated, or problematic data from a pretrained model. Current unlearning approaches and evaluation metrics are solely focused on model predictions, which limits insight into the model's true underlying data characteristics. To address this issue, we