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
“Having Confidence in my Confidence Intervals”: How Data Users Engage with Privacy-Protected Wikipedia Data
with Hal Triedman, Priyanka Nanayakkara, Rachel Cummings, Gabriel Kaptchuk, Sean Kross, and Elissa M. Redmiles
Conditionally accepted to ACM CHI Conference on Human Factors in Computing Systems, 2026
arXiv | Study materials
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression
with Salil Vadhan
Proceedings on Privacy Enhancing Technologies, 2025.
arXiv | publisher’s version
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
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
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