Philip Leclerc

United States Census Bureau — United States

Computer Science · Physical Sciences

7h-index250citations24works0.62yr avg
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Research Topics

Privacy-Preserving Technologies in Data(9), Census and Population Estimation(7), Privacy, Security, and Data Protection(3), Data-Driven Disease Surveillance(3), Decision-Making and Behavioral Economics(2)

Publications24 total

A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census
Harvard Data Science Review·2025Open Access
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File
Harvard Data Science Review·2025Open Access
Toward a Principled Framework for Disclosure Avoidance
Harvard Data Science Review·2025· 1 citedOpen Access
Toward a Principled Framework for Disclosure Avoidance
arXiv (Cornell University)·2025Open Access
Geographic Spines in the 2020 Census Disclosure Avoidance System
Journal of Privacy and Confidentiality·2024· 1 citedOpen Access
Systems Issues in Formally Private Systems
2024
Reply to Muralidhar et al., Kenny et al., and Hotz et al.: The benefits of engagement with external research teams
Proceedings of the National Academy of Sciences·2024· 1 citedOpen Access
Predicting Behavior in Games: Loss Aversion vs. Rank Dependent Utility vs. Range Utility Theory
International series in management science/operations research/International series in operations research & management science·2024· 2 cited
A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census
arXiv (Cornell University)·2023Open Access
Disclosure Avoidance for the 2020 Census Demographic and Housing Characteristics File
arXiv (Cornell University)·2023· 3 citedOpen Access
A Simulated Reconstruction and Reidentification Attack on the 2010 U.S. Census: Full Technical Report
2023· 4 citedOpen Access
An in-depth examination of requirements for disclosure risk assessment
Proceedings of the National Academy of Sciences·2023· 11 citedOpen Access
2020 Census Redistricting Data (P.L. 94-171) Noisy Measurement File
Harvard Dataverse·2023· 2 citedOpen Access
2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File (2023-04-03)
Harvard Dataverse·2023· 5 citedOpen Access
The 2010 Census Confidentiality Protections Failed, Here's How and Why
SSRN Electronic Journal·2023· 3 citedOpen Access
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
arXiv (Cornell University)·2022· 10 citedOpen Access
The 2020 Census Disclosure Avoidance System TopDown Algorithm
Harvard Data Science Review·2022· 70 citedOpen Access
The 2020 Census Disclosure Avoidance System TopDown Algorithm
arXiv (Cornell University)·2022· 7 citedOpen Access
Geographic Spines in the 2020 Census Disclosure Avoidance System
arXiv (Cornell University)·2022· 4 citedOpen Access
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
arXiv (Cornell University)·2021· 4 citedOpen Access
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Frequent Co-authors

Daniel Kifer(17), John M. Abowd(16), Robert Ashmead(16), Ryan Cumings-Menon(14), Pavel I. Zhuravlev(11), Simson Garfinkel(9), William Sexton(6), Nathan Goldschlag(6), Rolando A. Rodríguez(6), Ashwin Machanavajjhala(5), Michael B. Hawes(5), Micah Heineck(4), Christine Antonie Heiss(4), Brett Moran(4), Matthew Spence(4), Sallie Keller‐McNulty(4), Victoria A. Velkoff(4), Tamara S. Adams(4), David Darais(4), Sourya Dey(4)