John M. Abowd

Orcid: 0000-0002-0998-4531

Affiliations:

Cornell University, Department of Statistical Sciences , Ithaca, NY, USA
United States Census Bureau, Washington, DC, USA

According to our database¹, John M. Abowd authored at least 30 papers between 2004 and 2023.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

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

[BibT_eX]

[DOI]

John M. Abowd

CoRR, 2023

The 2010 Census Confidentiality Protections Failed, Here's How and Why.

[BibT_eX]

[DOI]

CoRR, 2023

Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File.

[BibT_eX]

[DOI]

CoRR, 2023

An In-Depth Examination of Requirements for Disclosure Risk Assessment.

[BibT_eX]

[DOI]

CoRR, 2023

21<sup>st</sup> Century Statistical Disclosure Limitation: Motivations and Challenges.

[BibT_eX]

[DOI]

John M. Abowd

Michael B. Hawes

CoRR, 2023

2022

Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census.

[BibT_eX]

[DOI]

Ashwin Machanavajjhala

William Sexton

Pavel Zhuravlev

CoRR, 2022

Confidentiality Protection in the 2020 US Census of Population and Housing.

[BibT_eX]

[DOI]

John M. Abowd

Michael B. Hawes

CoRR, 2022

The 2020 Census Disclosure Avoidance System TopDown Algorithm.

[BibT_eX]

[DOI]

Ashwin Machanavajjhala

CoRR, 2022

Geographic Spines in the 2020 Census Disclosure Avoidance System TopDown Algorithm.

[BibT_eX]

[DOI]

CoRR, 2022

2021

An Uncertainty Principle is a Price of Privacy-Preserving Microdata.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods.

[BibT_eX]

[DOI]

CoRR, 2019

Understanding database reconstruction attacks on public data.

[BibT_eX]

[DOI]

Simson L. Garfinkel

John M. Abowd

Christian Martindale

Commun. ACM, 2019

2018

Tribute to Steve Fienberg.

[BibT_eX]

[DOI]

John M. Abowd

J. Priv. Confidentiality, 2018

An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices.

[BibT_eX]

[DOI]

John M. Abowd

Ian M. Schmutte

CoRR, 2018

Issues Encountered Deploying Differential Privacy.

[BibT_eX]

[DOI]

Simson L. Garfinkel

John M. Abowd

Sarah Powazek

Proceedings of the 2018 Workshop on Privacy in the Electronic Society, 2018

The U.S. Census Bureau Adopts Differential Privacy.

[BibT_eX]

[DOI]

John M. Abowd

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Privacy-Preserving Data Analysis for the Federal Statistical Agencies.

[BibT_eX]

[DOI]

Ashwin Machanavajjhala

Jerome P. Reiter

CoRR, 2017

Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics.

[BibT_eX]

[DOI]

Samuel Haney

Ashwin Machanavajjhala

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

How Will Statistical Agencies Operate When All Data Are Private?

[BibT_eX]

[DOI]

John M. Abowd

J. Priv. Confidentiality, 2016

2013

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation.

[BibT_eX]

[DOI]

John M. Abowd

Matthew J. Schneider

Lars Vilhuber

J. Priv. Confidentiality, 2013

Data Management of Confidential Data.

[BibT_eX]

[DOI]

Int. J. Digit. Curation, 2013

2012

A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs.

[BibT_eX]

[DOI]

John M. Abowd

Lars Vilhuber

William C. Block

Proceedings of the Privacy in Statistical Databases, 2012

2011

An Application of Differentially Private Linear Mixed Modeling.

[BibT_eX]

[DOI]

John M. Abowd

Matthew J. Schneider

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Providing Secure Access to Sensitive Data.

[BibT_eX]

[DOI]

John M. Abowd

Proceedings of the IASSIST 2010, 2010

2009

First Issue Editorial.

[BibT_eX]

[DOI]

John M. Abowd

Kobbi Nissim

Chris J. Skinner

J. Priv. Confidentiality, 2009

2008

How Protective Are Synthetic Data?.

[BibT_eX]

[DOI]

John M. Abowd

Lars Vilhuber

Proceedings of the Privacy in Statistical Databases, 2008

Privacy: Theory meets Practice on the Map.

[BibT_eX]

[DOI]

Ashwin Machanavajjhala

Proceedings of the 24th International Conference on Data Engineering, 2008

2006

Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment.

[BibT_eX]

[DOI]

Vicenç Torra

John M. Abowd

Josep Domingo-Ferrer

Proceedings of the Privacy in Statistical Databases, 2006

2004

Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data.

[BibT_eX]

[DOI]

John M. Abowd

Simon D. Woodcock

Proceedings of the Privacy in Statistical Databases: CASC Project International Workshop, 2004

New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers.

[BibT_eX]

[DOI]

John M. Abowd

Julia Lane

Proceedings of the Privacy in Statistical Databases: CASC Project International Workshop, 2004

John M. Abowd

Timeline

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