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20222025
most citedTumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy

8 citations · 9 across the 5 of their papers we have counts for

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cs.CR2025

SafeTab-H: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B)

William Sexton, Skye Berghel, Bayard Carlson +10

This article describes SafeTab-H, a disclosure avoidance algorithm applied to the release of the U.S. Census Bureau's Detailed Demographic and Housing Characteristics File B (Detai…

cs.CR2025

SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)

Sam Haney, Skye Berghel, Bayard Carlson +11

This article describes the disclosure avoidance algorithm that the U.S. Census Bureau used to protect the Detailed Demographic and Housing Characteristics File A (Detailed DHC-A) o…

cs.CR2025

PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC)

William Sexton, Skye Berghel, Bayard Carlson +10

This article describes the disclosure avoidance algorithm that the U.S. Census Bureau used to protect the 2020 Census Supplemental Demographic and Housing Characteristics File (S-D…

cs.CR2023★ 1 cited

Publishing Wikipedia usage data with strong privacy guarantees

Temilola Adeleye, Skye Berghel, Damien Desfontaines +9

For almost 20 years, the Wikimedia Foundation has been publishing statistics about how many people visited each Wikipedia page on each day. This data helps Wikipedia editors determ…

cs.CR2022★ 8 cited

Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy

Skye Berghel, Philip Bohannon, Damien Desfontaines +10

In this short paper, we outline the design of Tumult Analytics, a Python framework for differential privacy used at institutions such as the U.S. Census Bureau, the Wikimedia Found…