Differential Privacy under Dependent Tuples - The Case of Genomic Privacy.

07:00 EST 8th November 2019 | BioPortfolio

Summary of "Differential Privacy under Dependent Tuples - The Case of Genomic Privacy."

The rapid progress in genome sequencing has led to high availability of genomic data. However, due to growing privacy concerns about the participant's sensitive information, accessing results and data of genomic studies is restricted to only trusted individuals. On the other hand, paving the way to biomedical discoveries requires granting open access to genomic databases. Privacy-preserving mechanisms can be a solution for granting wider access to such data while protecting their owners. In particular, there has been growing interest in applying the concept of differential privacy (DP) while sharing summary statistics about genomic data. DP provides a mathematically rigorous approach but it does not consider the dependence between tuples in a database, which may degrade the privacy guarantees offered by the DP.


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This article was published in the following journal.

Name: Bioinformatics (Oxford, England)
ISSN: 1367-4811


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