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...
Main Authors: | Berger, Bonnie A. (Contributor), Simmons, Sean Kenneth (Contributor) |
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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.
|
Subjects: | |
Online Access: | Get fulltext |
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