| 研究課題/領域番号 |
22H03595
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| 配分区分 | 補助金 |
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| 研究機関 | 北海道大学 |
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研究代表者 |
曹 洋 北海道大学, 情報科学研究院, 准教授 (60836344)
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| 研究分担者 |
吉川 正俊 京都大学, 情報学研究科, 教授 (30182736)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| キーワード | Differential Privacy |
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| 研究実績の概要 |
We conduct research on privacy budgeting in the context of differentially private data analysis. Our focus areas include differentially private trajectory event stream publishing, spatiotemporal data releasing, differentially private streaming data release, and locally private streaming data release with shuffling and subsampling.
Preliminary experimental results indicate that the main factor affecting the trade-off between privacy risk and utility metrics is the specific scenario in which the analysis is conducted. A key takeaway from our research is that achieving an optimal privacy budget is not universally possible without considering the specific differentially private algorithms and data distributions involved.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
Our findings have been published in reputable venues such as IEEE MDM, IEEE ICDE workshops, IEEE CSF, and the IEICE journal.
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| 今後の研究の推進方策 |
We will now move on to our third topic of privacy budgeting: how to reconcile conflicts when different stakeholders have varying requirements for privacy parameters. Our basic idea is to use data market mechanisms.
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