New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers. - John M. Abowd; Julia Lane (Privacy in Statistical Databases, 2004)

Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data. - John M. Abowd; Simon D. Woodcock (Privacy in Statistical Databases, 2004)

Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment. - Vicenç Torra; John M. Abowd; Josep Domingo-Ferrer (Privacy in Statistical Databases, 2006)

Privacy: Theory meets Practice on the Map. - Ashwin Machanavajjhala; Daniel Kifer; John M. Abowd; Johannes Gehrke; Lars Vilhuber (ICDE, 2008)

How Protective Are Synthetic Data?. - John M. Abowd; Lars Vilhuber (Privacy in Statistical Databases, 2008)

First Issue Editorial. - John M. Abowd; Kobbi Nissim; Chris J. Skinner (J. Priv. Confidentiality, 2009)

Providing Secure Access to Sensitive Data. - John M. Abowd (IASSIST, 2010)

An Application of Differentially Private Linear Mixed Modeling. - John M. Abowd; Matthew J. Schneider (ICDM Workshops, 2011)

A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. - John M. Abowd; Lars Vilhuber; William C. Block (Privacy in Statistical Databases, 2012)

Data Management of Confidential Data. - Carl Lagoze; William C. Block; Jeremy Williams; John M. Abowd; Lars Vilhuber (Int. J. Digit. Curation, 2013)

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation. - John M. Abowd; Matthew J. Schneider; Lars Vilhuber (J. Priv. Confidentiality, 2013)

How Will Statistical Agencies Operate When All Data Are Private? - John M. Abowd (J. Priv. Confidentiality, 2016)

Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics. - Samuel Haney; Ashwin Machanavajjhala; John M. Abowd; Matthew Graham; Mark Kutzbach; Lars Vilhuber (SIGMOD Conference, 2017)

Privacy-Preserving Data Analysis for the Federal Statistical Agencies. - John M. Abowd; Lorenzo Alvisi; Cynthia Dwork; Sampath Kannan; Ashwin Machanavajjhala; Jerome P. Reiter (CoRR, 2017)

The U.S. Census Bureau Adopts Differential Privacy. - John M. Abowd (KDD, 2018)

Issues Encountered Deploying Differential Privacy. - Simson L. Garfinkel; John M. Abowd; Sarah Powazek (WPES@CCS, 2018)

An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices. - John M. Abowd; Ian M. Schmutte (CoRR, 2018)

Tribute to Steve Fienberg. - John M. Abowd (J. Priv. Confidentiality, 2018)

Understanding Database Reconstruction Attacks on Public Data. - Simson L. Garfinkel; John M. Abowd; Christian Martindale (ACM Queue, 2018)

Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods. - John M. Abowd; Ian M. Schmutte; William Sexton; Lars Vilhuber (CoRR, 2019)

An Uncertainty Principle is a Price of Privacy-Preserving Microdata. - John M. Abowd; Robert Ashmead; Ryan Cumings-Menon; Simson L. Garfinkel; Daniel Kifer; Philip Leclerc; William Sexton; Ashley Simpson; Christine Task; Pavel Zhuravlev (NeurIPS, 2021)

Geographic Spines in the 2020 Census Disclosure Avoidance System TopDown Algorithm. - John M. Abowd; Robert Ashmead; Ryan Cumings-Menon; Daniel Kifer; Philip Leclerc; Jeffrey Ocker; Michael Ratcliffe; Pavel Zhuravlev (CoRR, 2022)

The 2020 Census Disclosure Avoidance System TopDown Algorithm. - John M. Abowd; Robert Ashmead; Ryan Cumings-Menon; Simson L. Garfinkel; Micah Heineck; Christine Heiss; Robert Johns; Daniel Kifer; Philip Leclerc; Ashwin Machanavajjhala; Brett Moran; William Sexton; et al. (CoRR, 2022)

Confidentiality Protection in the 2020 US Census of Population and Housing. - John M. Abowd; Michael B. Hawes (CoRR, 2022)

Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census. - Daniel Kifer; John M. Abowd; Robert Ashmead; Ryan Cumings-Menon; Philip Leclerc; Ashwin Machanavajjhala; William Sexton; Pavel Zhuravlev (CoRR, 2022)

21st Century Statistical Disclosure Limitation: Motivations and Challenges. - John M. Abowd; Michael B. Hawes (CoRR, 2023)

An In-Depth Examination of Requirements for Disclosure Risk Assessment. - Ron S. Jarmin; John M. Abowd; Robert Ashmead; Ryan Cumings-Menon; Nathan Goldschlag; Michael B. Hawes; Sallie Ann Keller; Daniel Kifer; Philip Leclerc; Jerome P. Reiter; Rolando A. Rodríguez; Ian M. Schmutte; et al. (CoRR, 2023)

Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File. - Ryan Cumings-Menon; Robert Ashmead; Daniel Kifer; Philip Leclerc; Matthew Spence; Pavel Zhuravlev; John M. Abowd (CoRR, 2023)

The 2010 Census Confidentiality Protections Failed, Here's How and Why. - John M. Abowd; Tamara Adams; Robert Ashmead; David Darais; Sourya Dey; Simson L. Garfinkel; Nathan Goldschlag; Daniel Kifer; Philip Leclerc; Ethan Lew; Scott Moore 001; Rolando A. Rodríguez; et al. (CoRR, 2023)

Noisy Measurements Are Important, the Design of Census Products Is Much More Important. - John M. Abowd (CoRR, 2023)

Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. - John M. Abowd; Cynthia Dwork; Alan F. Karr; Kobbi Nissim; Jerome P. Reiter; Aleksandra B. Slavkovic; Lars Vilhuber (J. Priv. Confidentiality, 2024)

Geographic Spines in the 2020 Census Disclosure Avoidance System. - Ryan Cumings-Menon; Robert Ashmead; Daniel Kifer; Philip Leclerc; Jeffrey Ocker; Michael Ratcliffe; Pavel Zhuravlev; John M. Abowd (J. Priv. Confidentiality, 2024)

Changes to the Journal of Privacy and Confidentiality. - John M. Abowd; Cynthia Dwork; Alan F. Karr; Jerome P. Reiter; Aleksandra B. Slavkovic (J. Priv. Confidentiality, 2025)