William Sexton

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Differentially Private

Privacy Preservation

Horizontally Partitioned Data

Top Venues

Publications

Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala
Privately Answering Queries on Skewed Data via Per Record Differential Privacy. 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)
Skye Berghel, Philip Bohannon, Damien Desfontaines, Charles Estes, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Tom Magerlein, Gerome Miklau, Amritha Pai, William Sexton, Ruchit Shrestha
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy. 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)
Samuel Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity. CoRR (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. 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)
John M. Abowd, Ian M. Schmutte, William Sexton, Lars Vilhuber
Suboptimal Provision of Privacy and Statistical Accuracy When They are Public Goods. CoRR (2019)