Privacy amplification via shuffled check-ins

• Item type: Symposium(1)
• 公開日: 2023-10-23
• タイトル: Privacy amplification via shuffled check-ins
• タイトル / 言語: en
• タイトル: Privacy amplification via shuffled check-ins
• 言語: eng
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: LINE Corporation
• 著者所属: LINE Corporation
• 著者所属: LINE Corporation
• 著者所属(英): en
• 著者所属(英): LINE Corporation
• 著者所属(英): en
• 著者所属(英): LINE Corporation
• 著者所属(英): en
• 著者所属(英): LINE Corporation
• 著者名: Seng, Pei Lie; Satoshi, Hasegaw; Tsubasa, Takahash
• 著者名(英): Seng, Pei Liew; Satoshi, Hasegawa; Tsubasa, Takahashi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 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) / 内容記述タイプ: Other
• 論文抄録(英) / 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
• 出版者 / 言語: ja
• 出版者: 情報処理学会