Not All Noise Is Accounted Equally: How Differentially Private Learning Benefits From Large Sampling Rates

Friedrich Dormann, Osvald Frisk, Lars Nørvang Andersen, Christian Fischer Pedersen

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

15 Citations (Scopus)

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Computer Science

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