William Sexton

13 papers A* 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC). CoRR William Sexton, Skye Berghel, Bayard Carlson, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, Daniel Simmons-Marengo
2025	J	`jnl`	SafeTab-H: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File B (Detailed DHC-B). CoRR William Sexton, Skye Berghel, Bayard Carlson, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, Ruchit Shrestha, Daniel Simmons-Marengo
2025	J	`jnl`	SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A). CoRR Samuel Haney, Skye Berghel, Bayard Carlson, Ryan Cumings-Menon, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Amritha Pai, Simran Rajpal, David Pujol, William Sexton, Ruchit Shrestha, Daniel Simmons-Marengo
2024	J	`jnl`	Privately Answering Queries on Skewed Data via Per-Record Differential Privacy. Proc. VLDB Endow. Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala
2024	J	`jnl`	Slowly Scaling Per-Record Differential Privacy. CoRR Brian Finley, Anthony M. Caruso, Justin C. Doty, Ashwin Machanavajjhala, Mikaela R. Meyer, David Pujol, William Sexton, Zachary Terner
2023	J	`jnl`	Privately Answering Queries on Skewed Data via Per Record Differential Privacy. CoRR Jeremy Seeman, William Sexton, David Pujol, Ashwin Machanavajjhala
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`	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
2022	J	`jnl`	Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy. CoRR 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
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
2021	J	`jnl`	Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity. CoRR Samuel Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
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