TY - GEN
T1 - A Generalization of the Stratonovich's Value of Information and Application to Privacy-Utility Trade-off
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).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The Stratonovich's value of information (VoI) is quantity that measures how much inferential gain is obtained from noisy data under information leakage constraint. In this paper, we introduce a generalized VoI for a general loss function and general information leakage. Then we derive an upper bound of the generalized VoI. Moreover, for a classical loss function, we provide a achievable condition of the upper bound which is weaker than that of in previous studies. Since VoI can be viewed as a formulation of a privacy-utility trade-off (PUT) problem, we provide an interpretation of the achievable condition in the PUT context.
AB - The Stratonovich's value of information (VoI) is quantity that measures how much inferential gain is obtained from noisy data under information leakage constraint. In this paper, we introduce a generalized VoI for a general loss function and general information leakage. Then we derive an upper bound of the generalized VoI. Moreover, for a classical loss function, we provide a achievable condition of the upper bound which is weaker than that of in previous studies. Since VoI can be viewed as a formulation of a privacy-utility trade-off (PUT) problem, we provide an interpretation of the achievable condition in the PUT context.
UR - http://www.scopus.com/inward/record.url?scp=85136260033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136260033&partnerID=8YFLogxK
U2 - 10.1109/ISIT50566.2022.9834667
DO - 10.1109/ISIT50566.2022.9834667
M3 - Conference contribution
AN - SCOPUS:85136260033
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1999
EP - 2004
BT - 2022 IEEE International Symposium on Information Theory, ISIT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Symposium on Information Theory, ISIT 2022
Y2 - 26 June 2022 through 1 July 2022
ER -