Learn to Unlearn: A Survey on Machine Unlearning. (arXiv:2305.07512v1 [cs.LG])

Machine Learning (ML) models contain private information, and implementing
the right to be forgotten is a challenging privacy issue in many data
applications. Machine unlearning has emerged as an alternative to remove
sensitive data from a trained model, but completely retraining ML models is
often not feasible. This survey provides a concise appraisal of Machine
Unlearning techniques, encompassing both exact and approximate methods,
probable attacks, and verification approaches. The survey compares the merits
and limitations each method and evaluates their …

applications arxiv data data applications information issue learn machine machine learning ml models privacy survey