Privacy Leakage via Output Label Space and Differentially Private Continual Learning
arXiv:2411.04680v5 Announce Type: replace
Abstract: Differential privacy (DP) is a formal privacy framework that enables training machine learning (ML) models while protecting individuals’ data. As pointed out by prior work, ML models are part of larg…