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Jean-Pierre Hubaux

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Related publications (201)

Page 2 of 11

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference

Francesco Intoci, Jean-Pierre Hubaux, Apostolos Pyrgelis, Sinem Sav

Homomorphic encryption (HE), which allows computations on encrypted data, is an enabling technology for confidential cloud computing. One notable example is privacy-preserving Prediction-as-a-Service (PaaS), where machine-learning predictions are computed ...

Springer Nature2023

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

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

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

Inferring Social Ties in Academic Networks Using Short-Range Wireless Communications

Jean-Pierre Hubaux, Murtuza Jadliwala, Kévin Clément Huguenin, Igor Bilogrevic

WiFi base stations are increasingly deployed in both public spaces and private companies, and the increase in their density poses a significant threat to the privacy of connected users. Prior studies have provided evidence that it is possible to infer the ...

2013

Eviction of Misbehaving and Faulty Nodes in Vehicular Networks

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Imad Aad

Vehicular Networks (VNs) are emerging, among civilian applications, as a convincing instantiation of the mobile networking technology. However, security is a critical factor and a significant challenge to be met. Misbehaving or faulty network nodes have to ...

2007

Reconciling Utility with Privacy in Genomics

Jean-Pierre Hubaux, Erman Ayday, Mathias Jacques Jean-Marc Humbert

Direct-to-consumer genetic testing makes it possible for everyone to learn their genome sequences. In order to contribute to medical research, a growing number of people publish their genomic data on the Web, sometimes under their real identities. However, ...

2014

An Efficient Threshold Access-Structure for RLWE-Based Multiparty Homomorphic Encryption

Jean-Pierre Hubaux, Christian Vincent Mouchet

We propose and implement a multiparty homomorphic encryption (MHE) scheme with a t-out-of -N-threshold access-structure that is efficient and does not require a trusted dealer in the common random string model. We construct this scheme from the ring-learni ...

SPRINGER2023

On Non-cooperative Genomic Privacy

Jean-Pierre Hubaux, Erman Ayday, Mathias Jacques Jean-Marc Humbert

Over the last few years, the vast progress in genome sequencing has highly increased the availability of genomic data. Today, individuals can obtain their digital genomic sequences at reasonable prices from many online service providers. Individuals can st ...

2015

Personal Use of the Genomic Data: Privacy vs. Storage Cost

Jean-Pierre Hubaux, Erman Ayday, Jean Louis Raisaro

In this paper, we propose privacy-enhancing technologies for personal use of the genomic data and analyze the tradeoff between genomic privacy and storage cost of the genomes. First, we highlight the potential privacy threats on the genomic data. Then, foc ...

2013

A Randomized Countermeasure Against Parasitic Adversaries in Wireless Sensor Networks

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Jun Luo

Due to their limited capabilities, wireless sensor nodes are subject to physical attacks that are hard to defend against. In this paper, we first identify a typical attacker, called parasitic adversary, who seeks to exploit sensor networks by obtaining mea ...

2010

On Non-cooperative Location Privacy: A Game-theoretic Analysis

Jean-Pierre Hubaux, Julien Freudiger

In mobile networks, authentication is a required primitive of the majority of security protocols. However, an adversary can track the location of mobile nodes by monitoring pseudonyms used for authentication. A frequently proposed solution to protect locat ...

2009

Protecting Location Privacy: Optimal Strategy against Localization Attacks

Jean-Yves Le Boudec, Jean-Pierre Hubaux, Carmela González Troncoso, Reza Shokri

The mainstream approach to protecting the location-privacy of mobile users in location-based services (LBSs) is to alter the users' actual locations in order to reduce the location information exposed to the service provider. The location obfuscation algor ...

2012

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Joao André Gomes de Sá e Sousa, David Jules Froelicher

Data sharing has become of primary importance in many domains such as big-data analytics, economics and medical research, but remains difficult to achieve when the data are sensitive. In fact, sharing personal information requires individuals' unconditiona ...

2020

Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, David Jules Froelicher, Jean-Philippe Léonard Bossuat

Genotype imputation is a fundamental step in genomic data analysis, where missing variant genotypes are predicted using the existing genotypes of nearby "tag"variants. Although researchers can outsource genotype imputation, privacy concerns may prohibit ge ...

CELL PRESS2021

Impact of Vehicular Communications Security on Transportation Safety

Jean-Pierre Hubaux, Panagiotis Papadimitratos

Transportation safety, one of the main driving forces of the development of vehicular communication (VC) systems, relies on high-rate safety messaging (beaconing). At the same time, there is consensus among authorities, industry, and academia on the need t ...

2008

Adaptive Information-Sharing for Privacy-Aware Mobile Social Networks

Jean-Pierre Hubaux, Murtuza Jadliwala, Kévin Clément Huguenin, Igor Bilogrevic, Berker Agir

Personal and contextual information are increasingly shared via mobile social networks. Users' locations, activities and their co-presence can be shared easily with online ``friends'', as their smartphones already access such information from embedded sens ...

2013

HideMyApp : Hiding the Presence of Sensitive Apps on Android

Jean-Pierre Hubaux, Kévin Clément Huguenin, Italo Ivan Dacosta Petrocelli, John Stephan

Millions of users rely on mobile health (mHealth) apps to manage their wellness and medical conditions. Although the popularity of such apps continues to grow, several privacy and security challenges can hinder their potential. In particular, the simple fa ...

USENIX ASSOC2019

GA4GH: International policies and standards for data sharing across genomic research and healthcare

Jean-Pierre Hubaux

The Global Alliance for Genomics and Health (GA4GH) aims to accelerate biomedical advances by enabling the responsible sharing of clinical and genomic data through both harmonized data aggregation and federated approaches. The decreasing cost of genomic se ...

Elsevier2021

Privacy-Preserving Computation of Disease Risk by Using Genomic, Clinical, and Environmental Data

Jean-Pierre Hubaux, Jacques Fellay, Paul Jack Mc Laren, Erman Ayday, Jean Louis Raisaro

According to many scientists and clinicians, genomics is the "next big thing" in the field of medicine. On one hand, decreasing costs in genome sequencing has been paving the way to better preventive and personalized medicine. On the other hand, genomic da ...

2013

Mix-Zones for Location Privacy in Vehicular Networks

Jean-Pierre Hubaux, Panagiotis Papadimitratos, Mark Felegyhazi, Julien Freudiger

Vehicular Networks (VNs) seek to provide, among other applications, safer driving conditions. To do so, vehicles need to periodically broadcast safety messages providing precise position information to nearby vehicles. However, this frequent messaging (e.g ...

2007

Wireless Operators in a Shared Spectrum

Jean-Pierre Hubaux, Mark Felegyhazi

So far, cellular networks have been operated in "private" frequency bands. But recently, several researchers and legislators have argued in favor of a more flexible and more efficient management of the spectrum, leading to the possible coexistence of sever ...

2006