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Zichang He

2 accepted papers

2025

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples

NeurIPS 2025poster

Machine unlearning offers a practical alternative to avoid full model re-training by approximately removing the influence of specific user data. While existing methods certify unlearning via statistical indistinguishability from re-trained models, these guarantees do not naturally extend to model ou…

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