NDLI: Privacy-preserving and Optimal Interval Release for Disease Susceptibility

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Privacy-preserving and Optimal Interval Release for Disease Susceptibility

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Privacy-preserving and Optimal Interval Release for Disease Susceptibility

Content Provider	ACM Digital Library
Author	Sakuma, Jun Takeuchi, Ichiro Kusano, Kosuke
Abstract	In this paper, we consider the problem of privacy-preserving release of function outputs that take private information as input. Disease susceptibilities are known to be associated with clinical features (e.g., age, sex) as well as genetic features represented by SNPs of individuals. Releasing outputs are not privacy-preserving if the private input can be uniquely identified by probabilistic inference using the outputs. To release useful outputs with preserving privacy, we present a mechanism that releases an interval as output, instead of an output value. We suppose adversaries perform probabilistic inference using released outputs to sharpen the posterior distribution of the target attributes. Then, our mechanism has two significant properties. First, when our mechanism provides the output, the increase of the adversary's posterior on any input attribute is upper-bounded by a prescribed level. Second, under this privacy constraint, the mechanism can provide the narrowest (optimal) interval that includes the true output. Building such a mechanism is often intractable. We formulate the design of the mechanism as a discrete constraint optimization problem so that it is solvable in a practical computation time. We also propose an algorithm to obtain the optimal mechanism based on dynamic programming. After applying our mechanism to release disease susceptibilities of obesity, we demonstrate that our mechanism performs better than existing methods in terms of privacy and utility.
Starting Page	532
Ending Page	545
Page Count	14
File Format	PDF
ISBN	9781450349444
DOI	10.1145/3052973.3053021
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-02
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Privacy Interval publication Disease susceptibility Genome Input inference
Content Type	Text
Resource Type	Article

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