| Item type |
Symposium(1) |
| 公開日 |
2023-10-23 |
| タイトル |
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タイトル |
Privacy amplification via shuffled check-ins |
| タイトル |
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言語 |
en |
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タイトル |
Privacy amplification via shuffled check-ins |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
| 著者所属 |
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LINE Corporation |
| 著者所属 |
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LINE Corporation |
| 著者所属 |
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LINE Corporation |
| 著者所属(英) |
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en |
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LINE Corporation |
| 著者所属(英) |
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en |
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LINE Corporation |
| 著者所属(英) |
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en |
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LINE Corporation |
| 著者名 |
Seng, Pei Lie
Satoshi, Hasegaw
Tsubasa, Takahash
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| 著者名(英) |
Seng, Pei Liew
Satoshi, Hasegawa
Tsubasa, Takahashi
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
We study a protocol for distributed computation called shuffled check-in, which achieves strong privacy guarantees without requiring any further trust assumptions beyond a trusted shuffler. Leveraging differential privacy, we show that shuffled check-in achieves tight privacy guarantees through privacy amplification, with a novel analysis based on R'enyi differential privacy that improves privacy accounting over existing work. We also introduce a numerical approach to track the privacy of generic shuffling mechanisms, including Gaussian mechanism, which is the first evaluation of a generic mechanism under the distributed setting within the local/shuffle model in the literature. Empirical studies are also given to demonstrate the efficacy of the proposed approach. |
| 論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
We study a protocol for distributed computation called shuffled check-in, which achieves strong privacy guarantees without requiring any further trust assumptions beyond a trusted shuffler. Leveraging differential privacy, we show that shuffled check-in achieves tight privacy guarantees through privacy amplification, with a novel analysis based on R'enyi differential privacy that improves privacy accounting over existing work. We also introduce a numerical approach to track the privacy of generic shuffling mechanisms, including Gaussian mechanism, which is the first evaluation of a generic mechanism under the distributed setting within the local/shuffle model in the literature. Empirical studies are also given to demonstrate the efficacy of the proposed approach. |
| 書誌情報 |
コンピュータセキュリティシンポジウム2023論文集
p. 275-281,
発行日 2023-10-23
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| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-CSS2023039.pdf (472.9 kB)
