Machine Unlearning for Traditional Models and Large Language Models: A Short Survey

arXiv:2404.01206v1 Announce Type: cross
Abstract: With the implementation of personal data privacy regulations, the field of machine learning (ML) faces the challenge of the "right to be forgotten". Machine unlearning has emerged to address this issue, aiming to delete data and reduce its impact on models according to user requests. Despite the widespread interest in machine unlearning, comprehensive surveys on its latest advancements, especially in the field of Large Language Models (LLMs) is lacking. This survey aims to fill this …

address arxiv challenge cs.cr cs.lg data data privacy data privacy regulations delete impact implementation issue language language models large machine machine learning personal personal data personal data privacy privacy privacy regulations regulations right to be forgotten survey