Robert Ashmead

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Statistical Disclosure

Privacy Preservation

Secure Multiparty Computation

Differential Privacy

Top Venues

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, 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, 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)