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Erman Ayday

Cette personne a quitté l’EPFL

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Publications associées (22)

Page 1 sur 2

A Recommender System Based on Belief Propagation over Pairwise Markov Random Fields

Erman Ayday

Recommender systems enable service providers to predict and address the individual needs of their customers so as to deliver personalized experiences. In this paper, we formulate the recommendation problem as an inference problem on a Pairwise Markov Rando ...

Ieee2013

Addressing the Concerns of the Lacks Family: Quantification of Kin Genomic Privacy

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

The rapid progress in human-genome sequencing is leading to a high availability of genomic data. This data is notoriously very sensitive and stable in time. It is also highly correlated among relatives. A growing number of genomes are becoming accessible o ...

2013

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

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

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

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

De-anonymizing Genomic Databases Using Phenotypic Traits

Jean-Pierre Hubaux, Erman Ayday, Mathias Jacques Jean-Marc Humbert, Kévin Clément Huguenin, Joachim Ludovic Hugonot

People increasingly have their genomes sequenced and some of them share their genomic data online. They do so for various purposes, including to find relatives and to help advance genomic research. An individual's genome carries very sensitive, private inf ...

2015

Quantifying Genomic Privacy via Inference Attack with High-Order SNV Correlations

Jean-Pierre Hubaux, Jacques Fellay, Erman Ayday, Zhicong Huang

As genomic data becomes widely used, the problem of genomic data privacy becomes a hot interdisciplinary research topic among geneticists, bioinformaticians and security and privacy experts. Practical attacks have been identified on genomic data, and thus ...

2015

Privacy in the Genomic Era

Jean-Pierre Hubaux, Jacques Fellay, Erman Ayday

Genome sequencing technology has advanced at a rapid pace and it is now possible to generate highlydetailed genotypes inexpensively. The collection and analysis of such data has the potential to support various applications, including personalized medical ...

Assoc Computing Machinery2015

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

GenoGuard: Protecting Genomic Data against Brute-Force Attacks

Jean-Pierre Hubaux, Jacques Fellay, Erman Ayday, Zhicong Huang

Secure storage of genomic data is of great and increasing importance. The scientific community's improving ability to interpret individuals' genetic materials and the growing size of genetic database populations have been aggravating the potential conseque ...

2015

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

Differential Privacy with Bounded Priors: Reconciling Utility and Privacy in Genome-Wide Association Studies

Jean-Pierre Hubaux, Erman Ayday, Zhicong Huang, Florian Tramèr

Differential privacy (DP) has become widely accepted as a rigorous definition of data privacy, with stronger privacy guarantees than traditional statistical methods. However, recent studies have shown that for reasonable privacy budgets, differential priva ...

2015

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

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

Privacy-enhancing technologies for medical tests using genomic data

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

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

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

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

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