Carmela Troncoso

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EPFL

Towards a common performance and effectiveness terminology for digital proximity tracing applications

Digital proximity tracing (DPT) for Sars-CoV-2 pandemic mitigation is a ...
12/23/2020 ∙ by Justus Benzler, et al. ∙ 0 ∙ share

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Synthetic Data – A Privacy Mirage

Synthetic datasets drawn from generative models have been advertised as ...
11/13/2020 ∙ by Theresa Stadler, et al. ∙ 0 ∙ share

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The Bayes Security Measure

Security system designers favor worst-case security measures, such as th...
11/06/2020 ∙ by Konstantinos Chatzikokolakis, et al. ∙ 0 ∙ share

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Privacy Engineering Meets Software Engineering. On the Challenges of Engineering Privacy ByDesign

Current day software development relies heavily on the use of service ar...
07/16/2020 ∙ by Blagovesta Kostova, et al. ∙ 0 ∙ share

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Datashare: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists

Investigative journalists collect large numbers of digital documents dur...
05/29/2020 ∙ by Kasra EdalatNejad, et al. ∙ 0 ∙ share

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Decentralized Privacy-Preserving Proximity Tracing

This document describes and analyzes a system for secure and privacy-pre...
05/25/2020 ∙ by Carmela Troncoso, et al. ∙ 0 ∙ share

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VoteAgain: A scalable coercion-resistant voting system

The strongest threat model for voting systems considers coercion resista...
05/22/2020 ∙ by Wouter Lueks, et al. ∙ 0 ∙ share

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zksk: A Library for Composable Zero-Knowledge Proofs

Zero-knowledge proofs are an essential building block in many privacy-pr...
11/06/2019 ∙ by Wouter Lueks, et al. ∙ 0 ∙ share

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Filter Design for Delay-Based Anonymous Communications

In this work, we address the problem of designing delay-based anonymous ...
10/22/2019 ∙ by Simon Oya, et al. ∙ 0 ∙ share

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Understanding the Effects of Real-World Behavior in Statistical Disclosure Attacks

High-latency anonymous communication systems prevent passive eavesdroppe...
10/22/2019 ∙ by Simon Oya, et al. ∙ 0 ∙ share

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A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems

Mixes, relaying routers that hide the relation between incoming and outg...
10/17/2019 ∙ by Fernando Pérez-González, et al. ∙ 0 ∙ share

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Meet the Family of Statistical Disclosure Attacks

Disclosure attacks aim at revealing communication patterns in anonymous ...
10/16/2019 ∙ by Simon Oya, et al. ∙ 0 ∙ share

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Encrypted DNS --> Privacy? A Traffic Analysis Perspective

Virtually every connection to an Internet service is preceded by a DNS l...
06/24/2019 ∙ by Sandra Siby, et al. ∙ 0 ∙ share

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Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning

A membership inference attack (MIA) against a machine learning model ena...
06/02/2019 ∙ by Mohammad Yaghini, et al. ∙ 0 ∙ share

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Under the Hood of Membership Inference Attacks on Aggregate Location Time-Series

Aggregate location statistics are used in a number of mobility analytics...
02/20/2019 ∙ by Apostolos Pyrgelis, et al. ∙ 0 ∙ share

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On (The Lack Of) Location Privacy in Crowdsourcing Applications

Crowdsourcing enables application developers to benefit from large and d...
01/15/2019 ∙ by Spyros Boukoros, et al. ∙ 0 ∙ share

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Why Johnny Can't Develop Mobile Crowdsourcing Applications with Location Privacy

Mobile crowdsourcing (MCS) relies on users' devices as sensors to perfor...
01/15/2019 ∙ by Spyros Boukoros, et al. ∙ 0 ∙ share

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Questioning the assumptions behind fairness solutions

In addition to their benefits, optimization systems can have negative ec...
11/27/2018 ∙ by Rebekah Overdorf, et al. ∙ 0 ∙ share

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Evading classifiers in discrete domains with provable optimality guarantees

Security-critical applications such as malware, fraud, or spam detection...
10/25/2018 ∙ by Bogdan Kulynych, et al. ∙ 0 ∙ share

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A Tabula Rasa Approach to Sporadic Location Privacy

Attacks and defenses in the location privacy literature largely consider...
09/12/2018 ∙ by Simon Oya, et al. ∙ 0 ∙ share

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Tandem: Securing Keys by Using a Central Server While Preserving Privacy

Users' devices, e.g., smartphones or laptops, are typically incapable of...
09/10/2018 ∙ by Wouter Lueks, et al. ∙ 0 ∙ share

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POTs: Protective Optimization Technologies

In spite of their many advantages, optimization systems often neglect th...
06/07/2018 ∙ by Rebekah Overdorf, et al. ∙ 0 ∙ share

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Under the Underground: Predicting Private Interactions in Underground Forums

Underground forums where users discuss, buy, and sell illicit services a...
05/11/2018 ∙ by Rebekah Overdorf, et al. ∙ 0 ∙ share

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TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer

Modern low-latency anonymity systems, no matter whether constructed as a...
02/23/2018 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Feature importance scores and lossless feature pruning using Banzhaf power indices

Understanding the influence of features in machine learning is crucial t...
11/14/2017 ∙ by Bogdan Kulynych, et al. ∙ 0 ∙ share

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Carmela Troncoso

Featured Co-authors

Chen Chen

Emiliano De Cristofaro

Michael Backes

Reuben Binns

Marcel Salathe

Catuscia Palamidessi

Ciro Cattuto

David Basin

Srdjan Capkun

Jamie Hayes

Michael Veale

Towards a common performance and effectiveness terminology for digital proximity tracing applications

Synthetic Data – A Privacy Mirage

The Bayes Security Measure

Privacy Engineering Meets Software Engineering. On the Challenges of Engineering Privacy ByDesign

Datashare: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists

Decentralized Privacy-Preserving Proximity Tracing

VoteAgain: A scalable coercion-resistant voting system

zksk: A Library for Composable Zero-Knowledge Proofs

Filter Design for Delay-Based Anonymous Communications

Understanding the Effects of Real-World Behavior in Statistical Disclosure Attacks

A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems

Meet the Family of Statistical Disclosure Attacks

Encrypted DNS --> Privacy? A Traffic Analysis Perspective

Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning

Under the Hood of Membership Inference Attacks on Aggregate Location Time-Series

On (The Lack Of) Location Privacy in Crowdsourcing Applications

Why Johnny Can't Develop Mobile Crowdsourcing Applications with Location Privacy

Questioning the assumptions behind fairness solutions

Evading classifiers in discrete domains with provable optimality guarantees

A Tabula Rasa Approach to Sporadic Location Privacy

Tandem: Securing Keys by Using a Central Server While Preserving Privacy

POTs: Protective Optimization Technologies

Under the Underground: Predicting Private Interactions in Underground Forums

TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer

Feature importance scores and lossless feature pruning using Banzhaf power indices