Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects

arXiv:2403.08254v1 Announce Type: new
Abstract: Personal digital data is a critical asset, and governments worldwide have enforced laws and regulations to protect data privacy. Data users have been endowed with the right to be forgotten of their data. In the course of machine learning (ML), the forgotten right requires a model provider to delete user data and its subsequent impact on ML models upon user requests. Machine unlearning emerges to address this, which has garnered ever-increasing attention from both industry …

abstract applications arxiv challenges course cs.cr cs.lg data data privacy digital digital data governments laws machine machine learning metrics privacy prospects protect provider regulations taxonomy type unlearning