Search Results for author: Lea Demelius

Found 1 papers, 0 papers with code

Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey

no code implementations28 Sep 2023 Lea Demelius, Roman Kern, Andreas Trügler

Differential Privacy has become a widely popular method for data protection in machine learning, especially since it allows formulating strict mathematical privacy guarantees.

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