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| Title | A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem (in Japanese) |
|---|---|
| Authors | Alisa Miyashita 、Akira Kamatsuka 、Takahiro Yoshida 、Toshiyasu Matsushima |
| Released Year | 2019 |
| Format | Conference |
| Category | Information security |
| Jounal Name | |
| Jounal Page | Vol.119, pp. 95--100 |
| Published Year | 2020 |
| Published Month | 3 |
| Abstract （English） |
In this paper, we deal with the problem of database statistics publishing with privacy and utility guarantees. While various privacy and utility metrics have been proposed, purposes of using the statistics for a user and an adversary and their background knowledge about the database have not been specified. We model the user and the adversary’s background knowledge of statistics of the database and distribution for the database. We also model their purposes. Then privacy and utility metrics are defined based on risk functions in the statistical decision theory. |
| Note （English） |
1 |
| Manuscript | |
| Presentation |
