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News/Privacy Leakage via Output Label Space and Differentially Private Continual Learning
arxiv
PublishedApril 27, 2026 at 4:00 AM

Privacy Leakage via Output Label Space and Differentially Private Continual Learning

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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 larger systems, which can lead to so-called privacy s

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