A sieve-accelerated quadrature method using discrete Fourier transform enables the first exact privacy accounting for the 2020 Census DHC file under heterogeneous discrete Gaussian mechanisms with a claimed 1,824-fold speedup.
(2022) Bayesian and frequentist semantics for common variations of differential privacy: Applications to the 2020 census
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Using f-differential privacy to track losses across eight geographic levels, the 2020 Census provides stronger privacy than its nominal guarantees, enabling 15.08-24.82% noise variance reduction.
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A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census
A sieve-accelerated quadrature method using discrete Fourier transform enables the first exact privacy accounting for the 2020 Census DHC file under heterogeneous discrete Gaussian mechanisms with a claimed 1,824-fold speedup.
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The 2020 US Decennial Census is more private than you (might) think
Using f-differential privacy to track losses across eight geographic levels, the 2020 Census provides stronger privacy than its nominal guarantees, enabling 15.08-24.82% noise variance reduction.