John M. Abowd - RankMe

36 papers A* 3C 5Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Changes to the Journal of Privacy and Confidentiality. J. Priv. Confidentiality John M. Abowd, Cynthia Dwork, Alan F. Karr, Jerome P. Reiter, Aleksandra B. Slavkovic
2024	J	`jnl`	Geographic Spines in the 2020 Census Disclosure Avoidance System. J. Priv. Confidentiality Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer, Philip Leclerc, Jeffrey Ocker, Michael Ratcliffe, Pavel Zhuravlev, John M. Abowd
2024	J	`jnl`	Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. J. Priv. Confidentiality John M. Abowd, Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber
2023	J	`jnl`	21 CoRR John M. Abowd, Michael B. Hawes
2023	J	`jnl`	An In-Depth Examination of Requirements for Disclosure Risk Assessment. CoRR 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
2023	J	`jnl`	Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File. CoRR Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer, Philip Leclerc, Matthew Spence, Pavel Zhuravlev, John M. Abowd
2023	J	`jnl`	Noisy Measurements Are Important, the Design of Census Products Is Much More Important. CoRR John M. Abowd
2023	J	`jnl`	The 2010 Census Confidentiality Protections Failed, Here's How and Why. CoRR 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
2022	J	`jnl`	Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census. CoRR Daniel Kifer, John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Philip Leclerc, Ashwin Machanavajjhala, William Sexton, Pavel Zhuravlev
2022	J	`jnl`	Confidentiality Protection in the 2020 US Census of Population and Housing. CoRR John M. Abowd, Michael B. Hawes
2022	J	`jnl`	Geographic Spines in the 2020 Census Disclosure Avoidance System TopDown Algorithm. CoRR John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Daniel Kifer, Philip Leclerc, Jeffrey Ocker, Michael Ratcliffe, Pavel Zhuravlev
2022	J	`jnl`	The 2020 Census Disclosure Avoidance System TopDown Algorithm. CoRR 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
2021	A*	`conf`	An Uncertainty Principle is a Price of Privacy-Preserving Microdata. NeurIPS John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson L. Garfinkel, Daniel Kifer, Philip Leclerc, William Sexton, Ashley Simpson, Christine Task, Pavel Zhuravlev
2021	J	`jnl`	An Uncertainty Principle is a Price of Privacy-Preserving Microdata. CoRR John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson L. Garfinkel, Daniel Kifer, Philip Leclerc, William Sexton, Ashley Simpson, Christine Task, Pavel Zhuravlev
2019	J	`jnl`	Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods. CoRR John M. Abowd, Ian M. Schmutte, William Sexton, Lars Vilhuber
2019	J	`jnl`	Understanding database reconstruction attacks on public data. Commun. ACM Simson L. Garfinkel, John M. Abowd, Christian Martindale
2018	J	`jnl`	An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices. CoRR John M. Abowd, Ian M. Schmutte
2018	—	`conf`	Issues Encountered Deploying Differential Privacy. WPES@CCS Simson L. Garfinkel, John M. Abowd, Sarah Powazek
2018	J	`jnl`	Issues Encountered Deploying Differential Privacy. CoRR Simson L. Garfinkel, John M. Abowd, Sarah Powazek
2018	A*	`conf`	The U.S. Census Bureau Adopts Differential Privacy. KDD John M. Abowd
2018	J	`jnl`	Tribute to Steve Fienberg. J. Priv. Confidentiality John M. Abowd
2018	J	`jnl`	Understanding Database Reconstruction Attacks on Public Data. ACM Queue Simson L. Garfinkel, John M. Abowd, Christian Martindale
2017	J	`jnl`	Privacy-Preserving Data Analysis for the Federal Statistical Agencies. CoRR John M. Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, Jerome P. Reiter
2017	—	`conf`	Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics. SIGMOD Conference Samuel Haney, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber
2016	J	`jnl`	How Will Statistical Agencies Operate When All Data Are Private? J. Priv. Confidentiality John M. Abowd
2013	J	`jnl`	Data Management of Confidential Data. Int. J. Digit. Curation Carl Lagoze, William C. Block, Jeremy Williams, John M. Abowd, Lars Vilhuber
2013	J	`jnl`	Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation. J. Priv. Confidentiality John M. Abowd, Matthew J. Schneider, Lars Vilhuber
2012	C	`conf`	A Proposed Solution to the Archiving and Curation of Confidential Scientific Inputs. Privacy in Statistical Databases John M. Abowd, Lars Vilhuber, William C. Block
2011	—	`conf`	An Application of Differentially Private Linear Mixed Modeling. ICDM Workshops John M. Abowd, Matthew J. Schneider
2010	—	`conf`	Providing Secure Access to Sensitive Data. IASSIST John M. Abowd
2009	J	`jnl`	First Issue Editorial. J. Priv. Confidentiality John M. Abowd, Kobbi Nissim, Chris J. Skinner
2008	C	`conf`	How Protective Are Synthetic Data?. Privacy in Statistical Databases John M. Abowd, Lars Vilhuber
2008	A*	`conf`	Privacy: Theory meets Practice on the Map. ICDE Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber
2006	C	`conf`	Using Mahalanobis Distance-Based Record Linkage for Disclosure Risk Assessment. Privacy in Statistical Databases Vicenç Torra, John M. Abowd, Josep Domingo-Ferrer
2004	C	`conf`	Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data. Privacy in Statistical Databases John M. Abowd, Simon D. Woodcock
2004	C	`conf`	New Approaches to Confidentiality Protection: Synthetic Data, Remote Access and Research Data Centers. Privacy in Statistical Databases John M. Abowd, Julia Lane