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Privacy-utility management of hypothesis tests
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-0036-9049
2019 (English)In: 2018 IEEE Information Theory Workshop, ITW 2018, Institute of Electrical and Electronics Engineers Inc. , 2019Conference paper, Published paper (Refereed)
Abstract [en]

The trade-off of hypothesis tests on the correlated privacy hypothesis and utility hypothesis is studied. The error exponent of the Bayesian composite hypothesis test on the privacy or utility hypothesis can be characterized by the corresponding minimal Chernoff information rate. An optimal management protects the privacy by minimizing the error exponent of the privacy hypothesis test and meanwhile guarantees the utility hypothesis testing performance by satisfying a lower bound on the corresponding minimal Chernoff information rate. The asymptotic minimum error exponent of the privacy hypothesis test is shown to be characterized by the infimum of corresponding minimal Chernoff information rates subject to the utility guarantees.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019.
Keywords [en]
Economic and social effects, Errors, Information theory, Chernoff information, Composite hypothesis, Error exponent, Hypothesis testing, Hypothesis tests, Lower bounds, Optimal management, Utility management, Statistical tests
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-248275DOI: 10.1109/ITW.2018.8613427ISI: 000467849900090Scopus ID: 2-s2.0-85062110822ISBN: 9781538635995 (print)OAI: oai:DiVA.org:kth-248275DiVA, id: diva2:1302608
Conference
2018 IEEE Information Theory Workshop, ITW 2018, 25 November 2018 through 29 November 2018
Note

QC 20190405

Available from: 2019-04-05 Created: 2019-04-05 Last updated: 2019-06-10Bibliographically approved

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Oechtering, Tobias J.

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Citation style
  • apa
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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