Privacy-Utility Trade-off with the Stratonovich's Value of Information

Akira Kamatsuka; Takahiro Yoshida; Toshiyasu Matsushima

doi:10.1109/ITW48936.2021.9611484

Privacy-Utility Trade-off with the Stratonovich's Value of Information

Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We consider the problem of publishing data with utility and privacy guarantees in a statistical decision-theoretical framework. In this framework, we introduce a statistical decision-theoretic quantity called average gain for measuring not only privacy but also utility. We also show a relationship between the average gain and the α-leakage, a tunable leakage measure proposed by Liao et at. Moreover, we formulate the privacyutility trade-off (PUT) problem using Stratonovich's value of information (VoI) and present an analysis of the PUT.

Original language	English
Title of host publication	2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665403122
DOIs	https://doi.org/10.1109/ITW48936.2021.9611484
Publication status	Published - 2021
Event	2021 IEEE Information Theory Workshop, ITW 2021 - Virtual, Online, Japan Duration: 2021 Oct 17 → 2021 Oct 21

Publication series

Name	2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings

Conference

Conference	2021 IEEE Information Theory Workshop, ITW 2021
Country/Territory	Japan
City	Virtual, Online
Period	21/10/17 → 21/10/21

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Networks and Communications
Information Systems
Software

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10.1109/ITW48936.2021.9611484

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Privacy-Utility Trade-off with the Stratonovich's Value of Information. / Kamatsuka, Akira; Yoshida, Takahiro; Matsushima, Toshiyasu.

2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kamatsuka, A, Yoshida, T & Matsushima, T 2021, Privacy-Utility Trade-off with the Stratonovich's Value of Information. in 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings. 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Information Theory Workshop, ITW 2021, Virtual, Online, Japan, 21/10/17. https://doi.org/10.1109/ITW48936.2021.9611484

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abstract = "We consider the problem of publishing data with utility and privacy guarantees in a statistical decision-theoretical framework. In this framework, we introduce a statistical decision-theoretic quantity called average gain for measuring not only privacy but also utility. We also show a relationship between the average gain and the α-leakage, a tunable leakage measure proposed by Liao et at. Moreover, we formulate the privacyutility trade-off (PUT) problem using Stratonovich's value of information (VoI) and present an analysis of the PUT.",

author = "Akira Kamatsuka and Takahiro Yoshida and Toshiyasu Matsushima",

note = "Funding Information: This research is supported in part by Grant-in-Aid JP17K06446 for Scientific Research (C) and grant from Information Services International-Dentsu, Ltd, Tokyo, Japan. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Information Theory Workshop, ITW 2021 ; Conference date: 17-10-2021 Through 21-10-2021",

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doi = "10.1109/ITW48936.2021.9611484",

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AU - Yoshida, Takahiro

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PY - 2021

Y1 - 2021

N2 - We consider the problem of publishing data with utility and privacy guarantees in a statistical decision-theoretical framework. In this framework, we introduce a statistical decision-theoretic quantity called average gain for measuring not only privacy but also utility. We also show a relationship between the average gain and the α-leakage, a tunable leakage measure proposed by Liao et at. Moreover, we formulate the privacyutility trade-off (PUT) problem using Stratonovich's value of information (VoI) and present an analysis of the PUT.

AB - We consider the problem of publishing data with utility and privacy guarantees in a statistical decision-theoretical framework. In this framework, we introduce a statistical decision-theoretic quantity called average gain for measuring not only privacy but also utility. We also show a relationship between the average gain and the α-leakage, a tunable leakage measure proposed by Liao et at. Moreover, we formulate the privacyutility trade-off (PUT) problem using Stratonovich's value of information (VoI) and present an analysis of the PUT.

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BT - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Privacy-Utility Trade-off with the Stratonovich's Value of Information

Abstract

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