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20082025
most citedGeo-Indistinguishability: Differential Privacy for Location-Based Systems

1.1k citations · 1.3k across the 6 of their papers we have counts for

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6 papers

cs.AI2025

Testing the Testers: Human-Driven Quality Assessment of Voice AI Testing Platforms

Miguel E. Andres, Vadim Fedorov, Rida Sadek +2

Voice AI agents are rapidly transitioning to production deployments, yet systematic methods for ensuring testing reliability remain underdeveloped. Organizations cannot objectively…

cs.CR2012★ 1.1k cited

Geo-Indistinguishability: Differential Privacy for Location-Based Systems

Miguel E. Andrés, Nicolás E. Bordenabe, Konstantinos Chatzikokolakis +1

The growing popularity of location-based systems, allowing unknown/untrusted servers to easily collect huge amounts of information regarding users' location, has recently started r…

cs.CR2011★ 31 cited

Quantitative Analysis of Information Leakage in Probabilistic and Nondeterministic Systems

Miguel E. Andrés

This thesis addresses the foundational aspects of formal methods for applications in security and in particular in anonymity. More concretely, we develop frameworks for the specifi…

cs.LO2011★ 41 cited

On the relation between Differential Privacy and Quantitative Information Flow

Mário S. Alvim, Miguel E. Andrés, Konstantinos Chatzikokolakis +1

Differential privacy is a notion that has emerged in the community of statistical databases, as a response to the problem of protecting the privacy of the database's participants w…

cs.CR2011★ 118 cited

Differential Privacy: on the trade-off between Utility and Information Leakage

Mário S. Alvim, Miguel E. Andrés, Konstantinos Chatzikokolakis +2

Differential privacy is a notion of privacy that has become very popular in the database community. Roughly, the idea is that a randomized query mechanism provides sufficient priva…

cs.LO2008★ 1 cited

Significant Diagnostic Counterexamples in Probabilistic Model Checking

Miguel E. Andres, Pedro D'Argenio, Peter van Rossum

This paper presents a novel technique for counterexample generation in probabilistic model checking of Markov Chains and Markov Decision Processes. (Finite) paths in counterexample…