TY - GEN
T1 - Privacy-Utility Trade-off with the Stratonovich's Value of Information
AU - Kamatsuka, Akira
AU - Yoshida, Takahiro
AU - Matsushima, Toshiyasu
N1 - 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:
© 2021 IEEE.
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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U2 - 10.1109/ITW48936.2021.9611484
DO - 10.1109/ITW48936.2021.9611484
M3 - Conference contribution
AN - SCOPUS:85123445277
T3 - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
BT - 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Information Theory Workshop, ITW 2021
Y2 - 17 October 2021 through 21 October 2021
ER -