Inference attacks against kin genomic privacy
IEEE Security and Privacy
Institute of Electrical and Electronics Engineers Inc.
29 - 37
Item Usage Stats
MetadataShow full item record
Genomic data poses serious interdependent risks: your data might also leak information about your family members' data. Methods attackers use to infer genomic information, as well as recent proposals for enhancing genomic privacy, are discussed. © 2003-2012 IEEE.
Genome privacy and security
Privacy and security
Published Version (Please cite this version)http://dx.doi.org/10.1109/MSP.2017.3681052
Showing items related by title, author, creator and subject.
Differential privacy with bounded priors: Reconciling utility and privacy in genome-wide association studies Tramèr, F.; Huang, Z.; Hubaux J.-P.; Ayday, Erman (ACM, 2015-10)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 ...
Samani, S. S.; Huang, Z.; Ayday, Erman; Elliot, M.; Fellay, J.; Hubaux, J.-P.; Kutalik, Z. (IEEE, 2015)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 ...
Humbert M.; Ayday, E.; Hubaux, Jean-Pierre; Telenti A. (Association for Computing Machinery, 2017-02)The rapid progress in human-genome sequencing is leading to a high availability of genomic data. These data is notoriously very sensitive and stable in time, and highly correlated among relatives. In this article, we study ...