arXiv cs.LG
· Papers
One-Point Contraction: Erasing Representational Separability toward Irreversible Deep Forgetting
arXiv:2507.07754v3 Announce Type: replace Abstract: Machine unlearning is usually evaluated by what the classifier outputs: forget-set accuracy, confidence, membership-inference scores. We show that this is not enough. Across 14 representative unlearning methods on CIFAR-10 and SVHN, a single linear map fitted on a hel