Fair Machine Unlearning: Data Removal while Mitigating Disparities

arXiv:2307.14754v2 Announce Type: replace
Abstract: The Right to be Forgotten is a core principle outlined by regulatory frameworks such as the EU's General Data Protection Regulation (GDPR). This principle allows individuals to request that their personal data be deleted from deployed machine learning models. While "forgetting" can be naively achieved by retraining on the remaining dataset, it is computationally expensive to do to so with each new request. As such, several machine unlearning methods have been proposed as efficient alternatives …

abstract arxiv core cs.ai cs.lg data data protection deleted fair frameworks gdpr general general data protection regulation machine machine learning machine learning models personal data protection regulation regulatory retraining type unlearning