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John M. Abowd

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CR1
  • cs.CY1
  • econ.GN1
ORCID 0000-0002-0998-4531

identity via Semantic Scholar / OpenAlex

most citedPrivacy-Preserving Data Analysis for the Federal Statistical Agencies

11 citations · 18 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CR2022★ 7 cited

The 2020 Census Disclosure Avoidance System TopDown Algorithm

John M. Abowd, Robert Ashmead, Ryan Cumings-Menon +11

The Census TopDown Algorithm (TDA) is a disclosure avoidance system using differential privacy for privacy-loss accounting. The algorithm ingests the final, edited version of the 2…

econ.GN2021★ 5 cited

U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth

Kevin L. McKinney, John M. Abowd, Hubert P. Janicki

This paper is part of the Global Income Dynamics Project cross-country comparison of earnings inequality, volatility, and mobility. Using data from the U.S. Census Bureau's Longitu…

cs.CY2017★ 11 cited

Privacy-Preserving Data Analysis for the Federal Statistical Agencies

John Abowd, Lorenzo Alvisi, Cynthia Dwork +3

Government statistical agencies collect enormously valuable data on the nation's population and business activities. Wide access to these data enables evidence-based policy making,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.