Spectral Saliency for Machine Unlearning.

arXiv:2608.15548v2 Announce Type: replace-cross Abstract: Machine unlearning (MU) aims to remove the influence of specific training data while preserving model utility. As the name suggests, MU can be viewed as the inverse of learning, using gradient-based upd