Project/Area Number |
23K24851
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 60080:Database-related
|
Research Institution | Tokyo Institute of Technology |
Principal Investigator |
曹 洋 東京工業大学, 情報理工学院, 准教授 (60836344)
|
Co-Investigator(Kenkyū-buntansha) |
吉川 正俊 大阪成蹊大学, データサイエンス学部, 教授 (30182736)
小西 葉子 関西学院大学, 総合政策学部, 専任講師 (00876708)
鄭 舒元 大阪大学, 大学院情報科学研究科, 特任助教(常勤) (30994694)
|
Project Period (FY) |
2024-04-01 – 2025-03-31
|
Project Status |
Granted (Fiscal Year 2024)
|
Budget Amount *help |
¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2024: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
|
Keywords | differential privacy |
Outline of Research at the Start |
Our project aims at providing a crucial component to the existing DP systems: a principled framework for explaining, choosing, a nd negotiating privacy parameters in differentially private analysis. We call such a framework Explainable DP, which is a set of approaches, guidelines, and toolkits.
|