activity
20092025
most citedA Nutritional Label for Rankings

106 citations · 491 across the 33 of their papers we have counts for

collaborators

33 papers

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.CR2024★ 54 cited

Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis

Priyanka Nanayakkara, Hyeok Kim, Yifan Wu +4

Differential privacy (DP) has the potential to enable privacy-preserving analysis on sensitive data, but requires analysts to judiciously spend a limited ``privacy loss budget'' $ε…

cs.LG2024★ 1 cited

Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data

Miguel Fuentes, Brett Mullins, Ryan McKenna +2

Mechanisms for generating differentially private synthetic data based on marginals and graphical models have been successful in a wide range of settings. However, one limitation of…

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…