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20102026
most citedDifferential Privacy: An Economic Method for Choosing Epsilon

279 citations · 1.1k across the 46 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CC2019★ 3 cited

The Complexity of Verifying Loop-Free Programs as Differentially Private

Marco Gaboardi, Kobbi Nissim, David Purser

We study the problem of verifying differential privacy for loop-free programs with probabilistic choice. Programs in this class can be seen as randomized Boolean circuits, which we…

cs.DS2019★ 2 cited

Facility Location Problem in Differential Privacy Model Revisited

Yunus Esencayi, Marco Gaboardi, Shi Li +1

In this paper we study the uncapacitated facility location problem in the model of differential privacy (DP) with uniform facility cost. Specifically, we first show that, under the…

cs.CR2019

A Programming Framework for Differential Privacy with Accuracy Concentration Bounds

Elisabet Lobo-Vesga, Alejandro Russo, Marco Gaboardi

Differential privacy offers a formal framework for reasoning about privacy and accuracy of computations on private data. It also offers a rich set of building blocks for constructi…

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.LG2019★ 25 cited

Hypothesis Testing Interpretations and Renyi Differential Privacy

Borja Balle, Gilles Barthe, Marco Gaboardi +2

Differential privacy is a de facto standard in data privacy, with applications in the public and private sectors. A way to explain differential privacy, which is particularly appea…