Deep Unlearn: Benchmarking Machine Unlearning

Machine unlearning (MU) aims to remove the influence of particular data points from the learnable parameters of a trained machine learning model. This is a crucial capability in light of data privacy requirements, trustworthiness, and safety in deployed models. MU is particularly challenging for dee...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Cadet, Xavier F, Borovykh, Anastasia, Malekzadeh, Mohammad, Ahmadi-Abhari, Sara, Haddadi, Hamed
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Benchmarks Data points Datasets Likelihood ratio Machine learning State-of-the-art reviews
Online-Zugang:	Volltext
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