activity
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 2016Show all

5 papers · 1 filter

cs.CR2016★ 16 cited

PSI (Ψ): a Private data Sharing Interface

Marco Gaboardi, James Honaker, Gary King +4

We provide an overview of PSI ("a Private data Sharing Interface"), a system we are developing to enable researchers in the social sciences and other fields to share and explore pr…

cs.LO2016★ 54 cited

Advanced Probabilistic Couplings for Differential Privacy

Gilles Barthe, Noémie Fong, Marco Gaboardi +3

Differential privacy is a promising formal approach to data privacy, which provides a quantitative bound on the privacy cost of an algorithm that operates on sensitive information.…

cs.LO2016

A program logic for union bounds

Gilles Barthe, Marco Gaboardi, Benjamin Grégoire +2

We propose a probabilistic Hoare logic aHL based on the union bound, a tool from basic probability theory. While the union bound is simple, it is an extremely common tool for analy…

math.ST2016★ 39 cited

Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing

Marco Gaboardi, Hyun woo Lim, Ryan Rogers +1

Hypothesis testing is a useful statistical tool in determining whether a given model should be rejected based on a sample from the population. Sample data may contain sensitive inf…

cs.LO2016★ 98 cited

Proving Differential Privacy via Probabilistic Couplings

Gilles Barthe, Marco Gaboardi, Benjamin Grégoire +2

In this paper, we develop compositional methods for formally verifying differential privacy for algorithms whose analysis goes beyond the composition theorem. Our methods are based…