Computing Tight Differential Privacy Guarantees Using FFT

7 Jun 2019 Antti Koskela Joonas Jälkö Antti Honkela

Differentially private (DP) machine learning has recently become popular. The privacy loss of DP algorithms is commonly reported using $(\varepsilon,\delta)$-DP... (read more)

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