Papers by Leon Wichert

1 papers
Rethinking Evaluation Methods for Machine Unlearning (2024.findings-emnlp)

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Challenge: Machine *unlearning* is a method for deleting information about training instances from a trained machine learning model.
Approach: et al. propose to use random selection to obtain an unlearned model that behaves as closely as possible to the retrained model.
Outcome: a new method is proposed to remove training instances from a trained model . the proposed method is infeasible due to the size of the dataset and the size .

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