Project/Area Number |
22H03595
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 60080:Database-related
|
Research Institution | Hokkaido University (2023) Kyoto University (2022) |
Principal Investigator |
曹 洋 北海道大学, 情報科学研究院, 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)
|
Project Period (FY) |
2022-04-01 – 2025-03-31
|
Project Status |
Granted (Fiscal Year 2023)
|
Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2023: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2022: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
|
Keywords | 差分プライバシ / 説明可能性 / プライバシー保護 / Differential Privacy / Explainability / 11111 |
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, and negotiating privacy parameters in differentially private analysis. We call such a framework Explainable DP, which is a set of approaches, guidelines, and toolkits.
|