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Shuang Song, Yizhen Wang, Kamalika Chaudhuri · 2017

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cs.CR 1

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2025 1

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UNVERDICTED 1

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Multi-user Pufferfish Privacy

cs.CR · 2025-12-21 · unverdicted · novelty 6.0

Sufficient conditions using the Wasserstein metric of order 1 are derived to calibrate Laplace noise for pufferfish privacy in multi-user aggregated queries, with relaxations for binary data that reduce noise while preserving indistinguishability.

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  • Multi-user Pufferfish Privacy cs.CR · 2025-12-21 · unverdicted · none · ref 33

    Sufficient conditions using the Wasserstein metric of order 1 are derived to calibrate Laplace noise for pufferfish privacy in multi-user aggregated queries, with relaxations for binary data that reduce noise while preserving indistinguishability.