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Jean Louis Raisaro

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Related publications (23)

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

Jean Louis Raisaro

The impressive technological advances in genomic analysis and the significant drop in the cost of genome sequencing are paving the way to a variety of revolutionary applications in modern healthcare. In particular, the increasing understanding of the human ...

EPFL2018

Data protection and ethics requirements for multisite research with health data: a comparative examination of legislative governance frameworks and the role of data protection technologies

Sotiria Kechagia, Jean-Pierre Hubaux, Jacques Fellay, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro

Personalised medicine can improve both public and individual health by providing targeted preventative and therapeutic healthcare. However, patient health data must be shared between institutions and across jurisdictions for the benefits of personalised me ...

OXFORD UNIV PRESS2020

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

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

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

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

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

UnLynx: A Decentralized System for Privacy-Conscious Data Sharing

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

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

MedCo(2): Privacy-Preserving Cohort Exploration and Analysis

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, David Jules Froelicher, Mickaël Misbach

Medical studies are usually time consuming, cumbersome and extremely costly to perform, and for exploratory research, their results are also difficult to predict a priori. This is particularly the case for rare diseases, for which finding enough patients i ...

IOS PRESS2020

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

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

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

Privacy Threats and Practical Solutions for Genetic Risk Tests

Jean-Pierre Hubaux, Erman Ayday, Jean Louis Raisaro, Ludovic Barman, Mohammed-Taha El Graini

Recently, several solutions have been proposed to address the complex challenge of protecting individuals’ genetic data during personalized medicine tests. In this short paper, we analyze different privacy threats and propose simple countermeasures for the ...

2015

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

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

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

Privacy-Preserving Exploration of Genetic Cohorts with i2b2 At Lausanne University Hospital

Jean-Pierre Hubaux, Jean Louis Raisaro, Gwangbae Choi

Re-use of patients’ health records can provide tremendous benefits for clinical research. One of the first essential steps for many research studies, such as clinical trials or population health studies, is to effectively identify, from electronic health r ...

2016

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

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

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

Protecting and Evaluating Genomic Privacy in Medical Tests and Personalized Medicine

Jean-Pierre Hubaux, Erman Ayday, Jean Louis Raisaro, Jacques Rougemont

In this paper, we propose privacy-enhancing technologies for medical tests and personalized medicine methods that use patients' genomic data. Focusing on genetic disease-susceptibility tests, we develop a new architecture (between the patient and the medic ...

2013

Privacy-Preserving Processing of Raw Genomic Data

Jean-Pierre Hubaux, Erman Ayday, Jean Louis Raisaro, Adam Molyneaux

Geneticists prefer to store patients’ aligned, raw genomic data, in addition to their variant calls (compact and summarized form of the raw data), mainly because of the immaturity of bioinformatic algorithms and sequencing platforms. Thus, we propose a pri ...

2013

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

Method for privacy-preserving medical risk test

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

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

MedCo: Enabling Secure and Privacy-Preserving 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

The increasing number of health-data breaches is creating a complicated environment for medical-data sharing and, consequently, for medical progress. Therefore, the development of new solutions that can reassure clinical sites by enabling privacy-preservin ...

2019

Privacy-Enhancing Technologies for Medical Tests Using Genomic Data

Jean-Pierre Hubaux, Erman Ayday, Jean Louis Raisaro

We propose privacy-enhancing technologies for medical tests and personalized medicine methods, which utilize patients’ genomic data. Focusing specifically on a typical disease-susceptibility test, we develop a new architecture (between the patient and the ...

2013

MedChain: Accountable and Auditable Data Sharing in Distributed Medical Scenarios

Jean-Pierre Hubaux, Bryan Alexander Ford, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, Linus Gasser

The current trend towards personalized medicine creates an urgent need to share data among different hospitals and health institutions, which endangers the privacy of the data subjects if not done with the appropriate precautions. Conversely, the frequency ...

2019