Publications related to When Others Impinge upon Your Privacy

Synthetic Data - Anonymisation Groundhog Day

Carmela González Troncoso, Theresa Stadler

Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing that addresses the shortcomings of traditional anonymisation techniques. The promise is that synthetic data drawn from generative models preserves the stat ...

USENIX ASSOC2022

An Introduction to MPEG-G: The First Open ISO/IEC Standard for the Compression and Exchange of Genomic Sequencing Data

Marco Mattavelli

The development and progress of high-throughput sequencing technologies have transformed the sequencing of DNA from a scientific research challenge to practice. With the release of the latest generation of sequencing machines, the cost of sequencing a whol ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Addressing Beacon Re-Identification Attacks: Quantification and Mitigation of Privacy Risks

Jean-Pierre Hubaux, Jean Louis Raisaro, Florian Tramèr, Shuang Wang, Carlos Bustamante

The Global Alliance for Genomics and Health (GA4GH) created the Beacon Project as a means of testing the willingness of data holders to share genetic data in the simplest technical context query for the presence of a specified nucleotide at a given positio ...

Oxford Univ Press2017

PrivateRide: A Privacy-Enhanced Ride-Hailing Service

Jean-Pierre Hubaux, Taha Hajar, Kévin Clément Huguenin, Italo Ivan Dacosta Petrocelli, Florian Tramèr, Thi Van Anh Pham, Bastien Jacot-Guillarmod

In the past few years, we have witnessed a rise in the popularity of ride-hailing services (RHSs), an online marketplace that enables accredited drivers to use their own cars to drive ride-hailing users. Unlike other transportation services, RHSs raise sig ...

2017

Quantifying Interdependent Privacy Risks with Location Data

Jean-Pierre Hubaux, Mathias Jacques Jean-Marc Humbert, Kévin Clément Huguenin, Reza Shokri, Alexandra-Mihaela Olteanu

Co-location information about users is increasingly available online. For instance, mobile users more and more frequently report their co-locations with other users in the messages and in the pictures they post on social networking websites by tagging the ...

Ieee Computer Soc2017

MedCo: Enabling Privacy-Conscious Exploration of Distributed Clinical and Genomic Data

Jean-Pierre Hubaux, Bryan Alexander Ford, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, Joao André Gomes de Sá e Sousa, Mickaël Misbach, Olivier Michielin

Being able to share large amounts of sensitive clinical and genomic data across several institutions is crucial for precision medicine to scale up. Unfor- tunately, existing solutions only partially address this challenge and are still unable to provide th ...

2017

Privacy, Trust and Incentives in Participatory Sensing

Karl Aberer, Mehdi Riahi, Rameez Rahman

In this chapter, we study the socioeconomic issues that can arise in distributed computing environments such as distributed and open, participatory sensing systems. Due to the decentralized nature of such systems, they present many challenges, some of whic ...

Springer2017

Atom: Horizontally Scaling Strong Anonymity

Bryan Alexander Ford, Henry Nathaniel Corrigan-Gibbs

Atom is an anonymous messaging system that protects against traffic-analysis attacks. Unlike many prior systems, each Atom server touches only a small fraction of the total messages routed through the network. As a result, the system’s capacity scales near ...

Association for Computing Machinery2017

Privacy and Security in the Genomic Era

Jean-Pierre Hubaux, Erman Ayday

With the help of rapidly developing technology, DNA sequencing is becoming less expensive. As a consequence, the research in genomics has gained speed in paving the way to personalized (genomic) medicine, and geneticists need large collections of human gen ...

Assoc Computing Machinery2016

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When Others Impinge upon Your Privacy

Synthetic Data - Anonymisation Groundhog Day

An Introduction to MPEG-G: The First Open ISO/IEC Standard for the Compression and Exchange of Genomic Sequencing Data

Privacy-Enhancing Technologies for Medical and Genomic Data: From Theory to Practice

Addressing Beacon Re-Identification Attacks: Quantification and Mitigation of Privacy Risks

PrivateRide: A Privacy-Enhanced Ride-Hailing Service

Quantifying Interdependent Privacy Risks with Location Data

MedCo: Enabling Privacy-Conscious Exploration of Distributed Clinical and Genomic Data

Privacy, Trust and Incentives in Participatory Sensing

Atom: Horizontally Scaling Strong Anonymity

Privacy and Security in the Genomic Era

Graph Chatbot

Chat with Graph Search

Privacy and Security in the Genomic Era

Atom: Horizontally Scaling Strong Anonymity

Privacy, Trust and Incentives in Participatory Sensing

MedCo: Enabling Privacy-Conscious Exploration of Distributed Clinical and Genomic Data

Quantifying Interdependent Privacy Risks with Location Data

PrivateRide: A Privacy-Enhanced Ride-Hailing Service

Addressing Beacon Re-Identification Attacks: Quantification and Mitigation of Privacy Risks

Privacy-Enhancing Technologies for Medical and Genomic Data: From Theory to Practice

An Introduction to MPEG-G: The First Open ISO/IEC Standard for the Compression and Exchange of Genomic Sequencing Data

Synthetic Data - Anonymisation Groundhog Day