John M. Abowd

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 22

Top Topics

Statistical Agencies

Disclosure Risk

Privacy Protection

Differential Privacy

Top Venues

J. Priv. Confidentiality

Publications

Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer, Philip Leclerc, Matthew Spence, Pavel Zhuravlev, John M. Abowd
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File. CoRR (2023)
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, Victoria A. Velkoff, Pavel Zhuravlev
An In-Depth Examination of Requirements for Disclosure Risk Assessment. CoRR (2023)
John M. Abowd, Tamara Adams, Robert Ashmead, David Darais, Sourya Dey, Simson L. Garfinkel, Nathan Goldschlag, Daniel Kifer, Philip Leclerc, Ethan Lew, Scott Moore, Rolando A. Rodríguez, Ramy N. Tadros, Lars Vilhuber
The 2010 Census Confidentiality Protections Failed, Here's How and Why. CoRR (2023)
John M. Abowd, Michael B. Hawes
Century Statistical Disclosure Limitation: Motivations and Challenges. CoRR (2023)
John M. Abowd
Noisy Measurements Are Important, the Design of Census Products Is Much More Important. CoRR (2023)
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, Matthew Spence, Pavel Zhuravlev
The 2020 Census Disclosure Avoidance System TopDown Algorithm. CoRR (2022)
Daniel Kifer, John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Philip Leclerc, Ashwin Machanavajjhala, William Sexton, Pavel Zhuravlev
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census. CoRR (2022)
John M. Abowd, Michael B. Hawes
Confidentiality Protection in the 2020 US Census of Population and Housing. CoRR (2022)
John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Daniel Kifer, Philip Leclerc, Jeffrey Ocker, Michael Ratcliffe, Pavel Zhuravlev
Geographic Spines in the 2020 Census Disclosure Avoidance System TopDown Algorithm. CoRR (2022)
John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson L. Garfinkel, Daniel Kifer, Philip Leclerc, William Sexton, Ashley Simpson, Christine Task, Pavel Zhuravlev
An Uncertainty Principle is a Price of Privacy-Preserving Microdata. NeurIPS (2021)
John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson L. Garfinkel, Daniel Kifer, Philip Leclerc, William Sexton, Ashley Simpson, Christine Task, Pavel Zhuravlev
An Uncertainty Principle is a Price of Privacy-Preserving Microdata. CoRR (2021)
Simson L. Garfinkel, John M. Abowd, Christian Martindale
Understanding database reconstruction attacks on public data. Commun. ACM 62 (3) (2019)
John M. Abowd, Ian M. Schmutte, William Sexton, Lars Vilhuber
Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods. CoRR (2019)
Simson L. Garfinkel, John M. Abowd, Sarah Powazek
Issues Encountered Deploying Differential Privacy. CoRR (2018)
Simson L. Garfinkel, John M. Abowd, Christian Martindale
Understanding Database Reconstruction Attacks on Public Data. ACM Queue 16 (5) (2018)
John M. Abowd
Tribute to Steve Fienberg. J. Priv. Confidentiality 8 (1) (2018)
John M. Abowd
The U.S. Census Bureau Adopts Differential Privacy. KDD (2018)
Simson L. Garfinkel, John M. Abowd, Sarah Powazek
Issues Encountered Deploying Differential Privacy. WPES@CCS (2018)
John M. Abowd, Ian M. Schmutte
An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices. CoRR (2018)
John M. Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, Jerome P. Reiter
Privacy-Preserving Data Analysis for the Federal Statistical Agencies. CoRR (2017)
Samuel Haney, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics. SIGMOD Conference (2017)
John M. Abowd
How Will Statistical Agencies Operate When All Data Are Private? J. Priv. Confidentiality 7 (3) (2016)
Carl Lagoze, William C. Block, Jeremy Williams, John M. Abowd, Lars Vilhuber
Data Management of Confidential Data. Int. J. Digit. Curation 8 (1) (2013)
John M. Abowd, Matthew J. Schneider, Lars Vilhuber
Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation. J. Priv. Confidentiality 5 (1) (2013)
John M. Abowd, Lars Vilhuber, William C. Block
A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. Privacy in Statistical Databases (2012)
John M. Abowd, Matthew J. Schneider
An Application of Differentially Private Linear Mixed Modeling. ICDM Workshops (2011)
John M. Abowd
Providing Secure Access to Sensitive Data. IASSIST (2010)
John M. Abowd, Kobbi Nissim, Chris J. Skinner
First Issue Editorial. J. Priv. Confidentiality 1 (1) (2009)
John M. Abowd, Lars Vilhuber
How Protective Are Synthetic Data?. Privacy in Statistical Databases (2008)
Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber
Privacy: Theory meets Practice on the Map. ICDE (2008)
Vicenç Torra, John M. Abowd, Josep Domingo-Ferrer
Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment. Privacy in Statistical Databases (2006)
John M. Abowd, Julia Lane
New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers. Privacy in Statistical Databases (2004)
John M. Abowd, Simon D. Woodcock
Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data. Privacy in Statistical Databases (2004)