Papers by Hyesoo Hong

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Challenge:	Recent work suggests that machine learning models are indistinguishable from models trained on retain sets.
Approach:	They propose a benchmark to evaluate machine unlearning under realistic knowledge overlap . they construct documents containing both shared and unique knowledge .
Outcome:	The proposed model is indistinguishable from a model retrained on the retain set while only forget-specific content is removed.