Learn to Unlearn: Insights Into Machine Unlearning

Published: 01 Jan 2024, Last Modified: 20 May 2025Computer 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: This article presents a comprehensive review of recent machine unlearning techniques, verification mechanisms, and potential attacks. We highlight emerging challenges and prospective research directions, aiming to provide valuable resources for integrating privacy, equity, and resilience into machine learning systems and help them “learn to unlearn.”
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