Deep Unlearning: Fast and Efficient Training-free Approach to Class Forgetting

arXiv:2312.00761v3 Announce Type: replace
Abstract: Machine unlearning is a prominent and challenging field, driven by regulatory demands for user data deletion and heightened privacy awareness. Existing approaches involve retraining model or multiple finetuning steps for each deletion request, often constrained by computational limits and restricted data access. In this work, we introduce a novel class unlearning algorithm designed to strategically eliminate specific classes from the learned model. Our algorithm first estimates the Retain and the Forget Spaces using Singular Value …

arxiv class cs.ai cs.cv cs.lg free stat.ml training type unlearning