activity
20232026
most citedAn In-Depth Examination of Requirements for Disclosure Risk Assessment

13 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

stat.OT2026

The Evolution and Interpretation of "Statistical Purposes"

Michael B. Hawes, John L. Eltinge, Paul S. Marck +2

National Statistical Organizations (NSOs) and other groups often use the term "for statistical purposes only" in communication with prospective respondents, data users and other st…

stat.AP2025★ 1 cited

Inferring Transmission Dynamics of Respiratory Syncytial Virus from Houston Wastewater

Jose R. Palacio, Katherine B. Ensor, Sallie A. Keller +4

Wastewater-based epidemiology (WBE) is an effective tool for tracking community circulation of respiratory viruses. We address estimating the effective reproduction number ()…

stat.ME2025

An Approximate Monte Carlo Simulation Method for Estimating Uncertainty and Constructing Confidence Intervals for 2020 Census Statistics

Robert Ashmead, Michael B. Hawes, Mary Pritts +2

To protect the confidentiality of the 2020 Census, the U.S. Census Bureau adopted a statistical disclosure limitation framework based on the principles of differential privacy. A k…

stat.AP2025★ 2 cited

Toward a Principled Framework for Disclosure Avoidance

Michael B Hawes, Evan M Brassell, Anthony Caruso +16

Responsible disclosure limitation is an iterative exercise in risk assessment and mitigation. From time to time, as disclosure risks grow and evolve and as data users' needs change…

cs.CR2023★ 13 cited

An In-Depth Examination of Requirements for Disclosure Risk Assessment

Ron S. Jarmin, John M. Abowd, Robert Ashmead +11

The use of formal privacy to protect the confidentiality of responses in the 2020 Decennial Census of Population and Housing has triggered renewed interest and debate over how to m…