4 citations · 5 across the 3 of their papers we have counts for
3 papers
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John Abowd, Robert Ashmead, Ryan Cumings-Menon +7
Privacy-protected microdata are often the desired output of a differentially private algorithm since microdata is familiar and convenient for downstream users. However, there is a…
Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity
Sam Haney, William Sexton, Ashwin Machanavajjhala +2
This article describes a proposed differentially private (DP) algorithms that the US Census Bureau is considering to release the Detailed Demographic and Housing Characteristics (D…
Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods
John M. Abowd, Ian M. Schmutte, William Sexton +1
With vast databases at their disposal, private tech companies can compete with public statistical agencies to provide population statistics. However, private companies face differe…