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New method accelerates census privacy accounting by 1,824x

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new quadrature method that significantly accelerates privacy accounting for the U.S. Decennial Census. This method, leveraging sieve algorithms and the discrete Fourier transform, achieves an 1,824-fold speedup over previous techniques while adhering to strict error tolerances. The innovation allows for more precise determination of the minimum noise needed for differential privacy, thereby enhancing the statistical utility of census data for applications like federal funding allocation and political redistricting. AI

IMPACT Enhances statistical utility of census data by enabling more precise privacy guarantees, potentially improving downstream applications.

RANK_REASON This is a research paper detailing a new computational method for privacy accounting in census data. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New method accelerates census privacy accounting by 1,824x

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This is a research paper detailing a new computational method for privacy accounting in census data. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. arXiv stat.ML TIER_1 English(EN) · Buxin Su, Weijie Su, Chendi Wang ·

    A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census

    arXiv:2606.29835v1 Announce Type: cross Abstract: In 2020, the U.S. Census Bureau adopted differential privacy for the Decennial Census by injecting integer-valued Gaussian noise into published census tabulations. Exactly evaluating the privacy guarantees of these data releases w…

  2. arXiv stat.ML TIER_1 English(EN) · Chendi Wang ·

    A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census

    In 2020, the U.S. Census Bureau adopted differential privacy for the Decennial Census by injecting integer-valued Gaussian noise into published census tabulations. Exactly evaluating the privacy guarantees of these data releases would enable the Bureau to determine the absolute m…

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