Learn to Unlearn: Insights Into Machine Unlearning
Youyang Qu, Xin Yuan, Ming Ding, Wei Ni, Thierry Rakotoarivelo, David B. Smith
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.”
Topics & Concepts
Computer scienceHuman–computer interactionData scienceCognitive scienceArtificial intelligencePsychologyOnline Learning and Analytics