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ORCIDJohn M. Abowd
Person information
- affiliation: Cornell University, Department of Statistical Sciences , Ithaca, NY, USA
- affiliation: United States Census Bureau, Washington, DC, USA
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2020 – today
- 2024
[j9]John M. Abowd, Cynthia Dwork, Alan F. Karr
, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber:
Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. J. Priv. Confidentiality 14(3) (2024)- [j8]Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer, Philip Leclerc, Jeffrey Ocker, Michael Ratcliffe, Pavel Zhuravlev, John M. Abowd:
Geographic Spines in the 2020 Census Disclosure Avoidance System. J. Priv. Confidentiality 14(3) (2024) - 2023
- [i15]John M. Abowd, Michael B. Hawes:
21st Century Statistical Disclosure Limitation: Motivations and Challenges. CoRR abs/2303.00845 (2023) - [i14]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 abs/2310.09398 (2023) - [i13]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 abs/2312.10863 (2023) - [i12]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 abs/2312.11283 (2023) - [i11]John M. Abowd:
Noisy Measurements Are Important, the Design of Census Products Is Much More Important. CoRR abs/2312.14191 (2023) - 2022
- [i10]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 abs/2203.16654 (2022) - [i9]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 abs/2204.08986 (2022) - [i8]John M. Abowd, Michael B. Hawes:
Confidentiality Protection in the 2020 US Census of Population and Housing. CoRR abs/2206.03524 (2022) - [i7]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 abs/2209.03310 (2022) - 2021
- [c11]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: 11883-11895 - [i6]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 abs/2110.13239 (2021)
2010 – 2019
- 2019
- [j7]Simson L. Garfinkel, John M. Abowd, Christian Martindale:
Understanding database reconstruction attacks on public data. Commun. ACM 62(3): 46-53 (2019) - [i5]John M. Abowd, Ian M. Schmutte, William Sexton, Lars Vilhuber:
Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods. CoRR abs/1906.09353 (2019) - 2018
- [j6]John M. Abowd:
Tribute to Steve Fienberg. J. Priv. Confidentiality 8(1) (2018) - [j5]Simson L. Garfinkel, John M. Abowd, Christian Martindale:
Understanding Database Reconstruction Attacks on Public Data. ACM Queue 16(5): 50 (2018) - [c10]John M. Abowd:
The U.S. Census Bureau Adopts Differential Privacy. KDD 2018: 2867 - [c9]Simson L. Garfinkel, John M. Abowd, Sarah Powazek:
Issues Encountered Deploying Differential Privacy. WPES@CCS 2018: 133-137 - [i4]John M. Abowd, Ian M. Schmutte:
An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices. CoRR abs/1808.06303 (2018) - [i3]Simson L. Garfinkel, John M. Abowd, Sarah Powazek:
Issues Encountered Deploying Differential Privacy. CoRR abs/1809.02201 (2018) - 2017
- [c8]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: 1339-1354 - [i2]John M. Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, Jerome P. Reiter:
Privacy-Preserving Data Analysis for the Federal Statistical Agencies. CoRR abs/1701.00752 (2017) - 2016
- [j4]John M. Abowd:
How Will Statistical Agencies Operate When All Data Are Private? J. Priv. Confidentiality 7(3) (2016) - 2013
- [j3]Carl Lagoze, William C. Block, Jeremy Williams, John M. Abowd, Lars Vilhuber:
Data Management of Confidential Data. Int. J. Digit. Curation 8(1): 265-278 (2013) - [j2]John M. Abowd, Matthew J. Schneider, Lars Vilhuber:
Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation. J. Priv. Confidentiality 5(1) (2013) - 2012
- [c7]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: 216-225 - 2011
- [c6]John M. Abowd, Matthew J. Schneider:
An Application of Differentially Private Linear Mixed Modeling. ICDM Workshops 2011: 614-619 - 2010
- [i1]John M. Abowd:
Providing Secure Access to Sensitive Data. IASSIST 2010
2000 – 2009
- 2009
- [j1]John M. Abowd, Kobbi Nissim, Chris J. Skinner:
First Issue Editorial. J. Priv. Confidentiality 1(1) (2009) - 2008
- [c5]Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber:
Privacy: Theory meets Practice on the Map. ICDE 2008: 277-286 - [c4]John M. Abowd, Lars Vilhuber:
How Protective Are Synthetic Data?. Privacy in Statistical Databases 2008: 239-246 - 2006
- [c3]Vicenç Torra, John M. Abowd, Josep Domingo-Ferrer:
Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment. Privacy in Statistical Databases 2006: 233-242 - 2004
- [c2]John M. Abowd, Julia Lane:
New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers. Privacy in Statistical Databases 2004: 282-289 - [c1]John M. Abowd, Simon D. Woodcock:
Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data. Privacy in Statistical Databases 2004: 290-297
Coauthor Index
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