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Wenxing Zhou

2 accepted papers

2026

Remaining-data-free Machine Unlearning by Suppressing Sample Contribution

ICLR 2026poster

Machine unlearning (MU) aims to remove the influence of specific training samples from a well-trained model, a task of growing importance due to the ``right to be forgotten.” The unlearned model should approach the retrained model, where forgetting data do not contribute to the training process. The…

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