One Size Doesn't Fit All: Measuring Individual Privacy in Aggregate Genomic Data

Even in the aggregate, genomic data can reveal sensitive information about individuals. We present a new model-based measure, PrivMAF, that provides provable privacy guarantees for aggregate data (namely minor allele frequencies) obtained from genomic studies. Unlike many previous measures that have...

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Bibliographic Details
Main Authors: Berger, Bonnie A. (Contributor), Simmons, Sean Kenneth (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor), Berger, Bonnie (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2016-12-05T19:25:41Z.
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