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Machine unlearning has emerged as an effective strategy for forgetting specific information in the training data.
A k-means clustering algorithm
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Chin-Yew Lin · 2004
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Towards making systems forget with machine unlearning
Yinzhi Cao and Junfeng Yang · 2015
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The eu general data protection regulation (gdpr)
Paul Voigt and Axel Von dem Bussche · 2017
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Usa housing, 2017
Vyas · 2017
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Umap: Uniform manifold approximation and projection
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Nypd crime complaint data historic (2006-2019), 2020
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Machine unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot · 2021
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Ccpa regulations: Final regulation text
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Synthetic faces high quality (sfhq) dataset, 2022
David Beniaguev · 2022
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Knowledge unlearning for mitigating privacy risks in language models, 2022
Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, and Minjoon Seo · 2022
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Bo Liu, Qiang Liu, and Peter Stone · 2022
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Markov chain monte carlo-based machine unlearning: Unlearning what needs to be forgotten
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