23 citations · 48 across the 3 of their papers we have counts for
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cs.LG2019★ 3 cited
Privacy Amplification by Mixing and Diffusion Mechanisms
Borja Balle, Gilles Barthe, Marco Gaboardi +1
A fundamental result in differential privacy states that the privacy guarantees of a mechanism are preserved by any post-processing of its output. In this paper we investigate unde…
cs.CR2019
Profile-Based Privacy for Locally Private Computations
Joseph Geumlek, Kamalika Chaudhuri
Differential privacy has emerged as a gold standard in privacy-preserving data analysis. A popular variant is local differential privacy, where the data holder is the trusted curat…