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20072024
most citedGeo-Indistinguishability: Differential Privacy for Location-Based Systems

1.1k citations · 1.7k across the 19 of their papers we have counts for

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17 papers · 1 filter

cs.CR2024

Self-Defense: Optimal QIF Solutions and Application to Website Fingerprinting

Andreas Athanasiou, Konstantinos Chatzikokolakis, Catuscia Palamidessi

Quantitative Information Flow (QIF) provides a robust information-theoretical framework for designing secure systems with minimal information leakage. While previous research has a…

cs.CR2020★ 9 cited

Information Leakage Games: Exploring Information as a Utility Function

Mário S. Alvim, Konstantinos Chatzikokolakis, Yusuke Kawamoto +1

A common goal in the areas of secure information flow and privacy is to build effective defenses against unwanted leakage of information. To this end, one must be able to reason ab…

cs.CR2020★ 11 cited

Bayes Security: A Not So Average Metric

Konstantinos Chatzikokolakis, Giovanni Cherubin, Catuscia Palamidessi +1

Security system designers favor worst-case security metrics, such as those derived from differential privacy (DP), due to the strong guarantees they provide. On the downside, these…

cs.CR2020

Estimating g-Leakage via Machine Learning

Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi +1

This paper considers the problem of estimating the information leakage of a system in the black-box scenario. It is assumed that the system's internals are unknown to the learner,…

cs.CR2019★ 40 cited

F-BLEAU: Fast Black-box Leakage Estimation

Giovanni Cherubin, Konstantinos Chatzikokolakis, Catuscia Palamidessi

We consider the problem of measuring how much a system reveals about its secret inputs. We work under the black-box setting: we assume no prior knowledge of the system's internals,…

cs.CR2018★ 13 cited

Metric-based local differential privacy for statistical applications

Mário S. Alvim, Konstantinos Chatzikokolakis, Catuscia Palamidessi +1

Local differential privacy (LPD) is a distributed variant of differential privacy (DP) in which the obfuscation of the sensitive information is done at the level of the individual…