ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries
with Rachel Cummings, Shlomi Hod, and Marika Swanberg
Presented at Foundations of Responsible Computing, 2024.
arXiv
From Algorithmic to Institutional Logics: The Politics of Differential Privacy
Presented at Privacy Law Scholars Conference, 2021.
SSRN
Statistical Imaginaries, State Legitimacy: Grappling With the Arrangements Underpinning Quantification in the US Census
with danah boyd
Critical Sociology, 2024.
SSRN | publisher’s version
“I inherently just trust that it works”: Investigating Mental Models of Open-Source Libraries for Differential Privacy
with Patrick Song, Michael Shoemate, and Salil Vadhan
ACM Conference on Computer-Supported Cooperative Work and Social Computing, 2024.
arXiv | publisher’s version
Centering Policy and Practice: Research Gaps around Usable Differential Privacy
with Rachel Cummings
IEEE Conference on Trust Privacy and Security in Intelligent Systems and Applications, 2023.
arXiv | publisher’s version
Dont Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
with Sophia Song, Audrey Haque, Tania Schlatter, and Salil Vadhan
ACM CHI Conference on Human Factors in Computing Systems, 2023
arXiv | publisher’s version
Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau’s Use of Differential Privacy
with danah boyd
Harvard Data Science Review, 2022.
SSRN | publisher’s version
Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling
with Mark Bun, Jörg Drechsler, Marco Gaboardi, and Audra McMillan
Foundations of Responsible Computing, 2022.
arXiv | publisher’s version
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
with Salil Vadhan
Proceedings on Privacy Enhancing Technologies, 2025.
arXiv | publisher’s version
Nonparametric Differentially Private Confidence Intervals for the Median
with Jörg Drechsler, Ira Globus-Harris, Audra McMillan, and Adam Smith
Journal of Survey Statistics and Methodology, 2022.
arXiv | publisher’s version
Differentially Private Simple Linear Regression
with Daniel Alabi, Audra McMillan, Adam Smith, and Salil Vadhan
Proceedings on Privacy Enhancing Technologies, 2022.
arXiv | publisher’s version
‘Time Capsule’ Archiving Through Strong Dark Archives (SDA): Designing Trustable Distributed Archives for Sensitive Materials
with John Bowers, Jack Cushman, and Jonathan Zittrain
Journal of Archival Organization, 2022.
SSRN | publisher’s version
Inter-Region Transfers for Pandemic Surges
with Kenneth Michelson, Chris Rees, Paige VonAchen, Michael Wornow, Michael Monuteaux, and Mark Neuman
Clinical Infectious Diseases, 2020.
publisher’s version
Increasing Responsible Data Sharing Capacity throughout Government
with Rachel Cummings, Shlomi Hod, Palak Jain, Gabriel Kaptchuk, Tamalika Mukherjee, Priyanka Nanayakkara, and Jeremy Seeman
Policy memo, Federation of American Scientists, 2025.
memo
Response to the RFI on Executive Branch Agency Handling of Commercially Available Information Containing Personally Identifiable Information
with Rachel Cummings, Shlomi Hod, Palak Jain, Gabriel Kaptchuk, Tamalika Mukherjee, Priyanka Nanayakkara
Public comment to OMB, 2024.
pdf
Comment on “NIST SP 800-226: Guidelines for Evaluating Differential Privacy Guarantees”
with Rachel Cummings, Shlomi Hod, Gabriel Kaptchuk, Priyanka Nanayakkara, and Jeremy Seeman
Public comment to NIST, 2024.
pdf
Defining Privacy-Loss Parameters of a Data Release
chapter in the “Hands-On Differential Privacy” textbook by Ethan Cowan, Michael Shoemate, and Mayana Pereira
O’Reilly Media, 2024.
publisher’s version
Ring Signatures for Anonymous Sourcing in Journalism
with Catherine Kerner
Presented at Computation+Journalism Conference, 2021.
pdf
Efficient Multi-Key Verifiable Shuffles
with Benedikt Bünz and Mariana Raykova
Paper last updated in 2021.
pdf