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

Akira Kamatsuka, Takahiro Yoshida, Toshiyasu Matsushima

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665403122
DOI
出版ステータスPublished - 2021
イベント2021 IEEE Information Theory Workshop, ITW 2021 - Virtual, Online, Japan
継続期間: 2021 10月 172021 10月 21

出版物シリーズ

名前2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings

Conference

Conference2021 IEEE Information Theory Workshop, ITW 2021
国/地域Japan
CityVirtual, Online
Period21/10/1721/10/21

ASJC Scopus subject areas

  • 計算理論と計算数学
  • コンピュータ ネットワークおよび通信
  • 情報システム
  • ソフトウェア

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