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20202023
most citedTight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

3 citations · 4 across the 4 of their papers we have counts for

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stat.ML2022

DPVIm: Differentially Private Variational Inference Improved

Joonas Jälkö, Lukas Prediger, Antti Honkela +1

Differentially private (DP) release of multidimensional statistics typically considers an aggregate sensitivity, e.g. the vector norm of a high-dimensional vector. However, differe…