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John M. Abowd

4 papers hereh-index 13681 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • econ.GN1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CR2025

Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File

Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer +4

In "The 2020 Census Disclosure Avoidance System TopDown Algorithm," Abowd et al. (2022) describe the concepts and methods used by the Disclosure Avoidance System (DAS) to produce f…

stat.AP2025

A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census

John M. Abowd, Tamara Adams, Robert Ashmead +12

We show that individual, confidential microdata records from the 2010 U.S. Census of Population and Housing can be accurately reconstructed from the published tabular summaries. Ni…

econ.GN2024

Estimating the Potential Impact of Combined Race and Ethnicity Reporting on Long-Term Earnings Statistics

Kevin L. McKinney, John M. Abowd

We use place of birth information from the Social Security Administration linked to earnings data from the Longitudinal Employer-Household Dynamics Program and detailed race and et…

cs.CR2024

Noisy Measurements Are Important, the Design of Census Products Is Much More Important

John M. Abowd

McCartan et al. (2023) call for "making differential privacy work for census data users." This commentary explains why the 2020 Census Noisy Measurement Files (NMFs) are not the be…

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