Protecting Privacy in Genomic Databases

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      Julia Bernd
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      MIT News, 8/9/2016

      Researchers at MIT and Indiana Univerity are developing differential privacy techniques that add a small amount of random noise to queries on large genetic databases. This means databases can be made more openly available without (as much) risking the privacy of the individuals whose genetic data is in them. Includes a description of the potential privacy attacks being mitigated, and notes the scientific consequences of having to worry about privacy-compromising attacks on health databases.

      [See the full post at: Protecting Privacy in Genomic Databases]

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