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., Simmons, Sean Kenneth
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2016
Online Access:http://hdl.handle.net/1721.1/105582
https://orcid.org/0000-0002-1537-4000