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Jean-Pierre Hubaux

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Publications associées (202)

Are privacy-enhancing technologies for genomic data ready for the clinic? A survey of medical experts of the Swiss HIV Cohort Study

Jean-Pierre Hubaux, Jacques Fellay, Jean Louis Raisaro

2018

Feasibility of Homomorphic Encryption for Sharing I2B2 Aggregate-Level Data in the Cloud

Jean-Pierre Hubaux, Jean Louis Raisaro

The biomedical community is lagging in the adoption of cloud computing for the management of medical data. The primary obstacles are concerns about privacy and security. In this paper, we explore the feasibility of using advanced privacy-enhancing technolo ...

2018

Consensual and Privacy-Preserving Sharing of Multi-Subject and Interdependent Data

Jean-Pierre Hubaux, Kévin Clément Huguenin, Alexandra-Mihaela Olteanu, Italo Ivan Dacosta Petrocelli

Individuals share increasing amounts of personal data online. This data often involves–or at least has privacy implications for–data subjects other than the individual who shares it (e.g., photos, genomic data) and the data is shared without their consent. ...

2018

GenoShare: Supporting Privacy-Informed Decisions for Sharing Exact Genomic Data

Jean-Pierre Hubaux, Mathias Jacques Jean-Marc Humbert, Amalio Telenti, Jean Louis Raisaro, Carmela González Troncoso

The academic community has proposed many solutions to address the privacy concerns associated with genomic-data sharing. However, practitioners have not adopted these solutions due to their impact on the data utility. To address this problem, we introduce ...

EPFL infoscience2018

On Enforcing the Digital Immunity of a Large Humanitarian Organization

Jean-Pierre Hubaux, Bryan Alexander Ford, Philipp Svetolik Jovanovic, Juan Ramón Troncoso-Pastoriza

Humanitarian action, the process of aiding individuals in situations of crises, poses unique information-security challenges due to natural or manmade disasters, the adverse environments in which it takes place, and the scale and multidisciplinary nature o ...

2018

System and method for providing a collective decentralized authority for sharing sensitive data

Jean-Pierre Hubaux, Patricia Egger, Zhicong Huang, Jean Louis Raisaro, Bryan Alexander Ford

A method of sharing private and/or sensitive data from plurality of data providers to a data user, the data user having a private key and a public key, the method comprising the steps of providing a first data set and encrypting the first data set at a ter ...

2018

Systems and method for anonymous, low-latencey, tracking-resistant communications in a networked environment

Jean-Pierre Hubaux, Ludovic Barman, Italo Ivan Dacosta Petrocelli, Bryan Alexander Ford

Exemplary embodiments of the present disclosure provide cryptographically-strong tracking protection with unnoticeable "single-hop" network latencies by leveraging a client-relay- server architecture, in which the clients, relays (trusted or untrusted), an ...

2018

Protecting Privacy and Security of Genomic Data in i2b2 with Homomorphic Encryption and Differential Privacy

Jean-Pierre Hubaux, Gwangbae Choi, Nathalie Jacquemont, Jean Louis Raisaro, Nicolas Rosat

Re-use of patients’ health records can provide tremendous benefits for clinical research. Yet, when researchers need to access sensitive/identifying data, such as genomic data, in order to compile cohorts of well-characterized patients for specific studies ...

IEEE2018

SQC: Secure Quality Control for Meta-Analysis of Genome-Wide Association Studies

Jean-Pierre Hubaux, Jacques Fellay, Zhicong Huang, Huang Lin

Motivation: Due to the limited power of small-scale genome-wide association studies (GWAS), researchers tend to collaborate and establish a larger consortium in order to perform large-scale GWAS. Genome-wide association meta-analysis (GWAMA) is a statistic ...

Oxford University Press2017

UnLynx: A Decentralized System for Privacy-Conscious Data Sharing

Jean-Pierre Hubaux, Patricia Egger, David Jules Froelicher, Christian Vincent Mouchet, Zhicong Huang, Jean Louis Raisaro, Bryan Alexander Ford, Joao André Gomes de Sá e Sousa

Current solutions for privacy-preserving data sharing among multiple parties either depend on a centralized authority that must be trusted and provides only weakest-link security (e.g., the entity that manages private/secret cryptographic keys), or leverag ...

De Gruyter2017

PrivateRide: A Privacy-Enhanced Ride-Hailing Service

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

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

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

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

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

SmarPer: Context-Aware and Automatic Runtime-Permissions for Mobile Devices

Jean-Pierre Hubaux, Kévin Clément Huguenin, Mohammad Emtiyaz Khan, Joana Catarina Soares Machado, Katarzyna Lucja Olejnik, Italo Ivan Dacosta Petrocelli

Permission systems are the main defense that mobile platforms, such as Android and iOS, offer to users to protect their private data from prying apps. However, due to the tension between usability and control, such systems have several limitations that oft ...

IEEE2017

ORide: A Privacy-Preserving yet Accountable Ride-Hailing Service

Jean-Pierre Hubaux, Kévin Clément Huguenin, Thi Van Anh Pham, Italo Ivan Dacosta Petrocelli, Guillaume Francois Maurice Endignoux, Juan Ramón Troncoso-Pastoriza

In recent years, ride-hailing services (RHSs) have become increasingly popular, serving millions of users per day. Such systems, however, raise significant privacy concerns, because service providers are able to track the precise mobility patterns of all r ...

2017

Quantifying Interdependent Privacy Risks with Location Data

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

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

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

Privacy-preserving genomic testing in the clinic: a model using HIV treatment

Jean-Pierre Hubaux, Amalio Telenti, Jacques Fellay, Erman Ayday, Istvan Bartha, Paul Jack Mc Laren, Jean Louis Raisaro

The implementation of genomic-based medicine is hindered by unresolved questions regarding data privacy and delivery of interpreted results to health-care practitioners. We used DNA-based prediction of HIV-related outcomes as a model to explore critical is ...

Nature Publishing Group2016

A privacy-preserving solution for compressed storage and selective retrieval of genomic data

Jean-Pierre Hubaux, Adam Molyneaux, Jacques Fellay, Erman Ayday, Zhicong Huang, Huang Lin, Zhi Ming Xu

In clinical genomics, the continuous evolution of bioinformatic algorithms and sequencing platforms makes it beneficial to store patients' complete aligned genomic data in addition to variant calls relative to a reference sequence. Due to the large size of ...

Cold Spring Harbor Laboratory2016

Method for privacy-preserving medical risk test

Jean-Pierre Hubaux, Amalio Telenti, Erman Ayday, Paul Jack Mc Laren, Jean Louis Raisaro

A privacy-preserving method for performing a disease susceptibility test on a patient, said method comprising: (I) performing homomorphic computations, (J) obtaining a test result which is partly decrypted with a first part (prk1 resp. prk2) of a private k ...

2016

Privacy-enhancing technologies for medical tests using genomic data

Jean-Pierre Hubaux, Mathias Jacques Jean-Marc Humbert, Jacques Rougemont, Amalio Telenti, Jacques Fellay, Erman Ayday, Jean Louis Raisaro

In this invention, we propose privacy-enhancing technologies for medical tests and personalized medicine methods, which utilize patients' genomic data. Assuming the whole genome sequencing is done by a certified institution, we propose to store patients' g ...

2016

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