| Differentially private simple linear regression D Alabi, A McMillan, J Sarathy, A Smith, S Vadhan Proceedings on Privacy Enhancing Technologies 2022 (2), 184-204, 2022 | 59 | 2022 |
| Differential perspectives: Epistemic disconnects surrounding the US Census Bureau’s use of differential privacy danah boyd, J Sarathy Harvard Data Science Review, 2022 | 30 | 2022 |
| Don’t look at the data! How differential privacy reconfigures the practices of data science J Sarathy, S Song, A Haque, T Schlatter, S Vadhan Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 28 | 2023 |
| Nonparametric differentially private confidence intervals for the median J Drechsler, I Globus-Harris, A Mcmillan, J Sarathy, A Smith Journal of Survey Statistics and Methodology 10 (3), 804-829, 2022 | 20 | 2022 |
| Controlling privacy loss in sampling schemes: an analysis of stratified and cluster sampling J Drechsler, M Gaboardi, A McMillan, J Sarathy Schloss Dagstuhl--Leibniz-Zentrum fur Informatik, 2022 | 14* | 2022 |
| Analyzing the differentially private Theil-Sen estimator for simple linear regression J Sarathy, S Vadhan Proceedings of Privacy-Enhancing Technologies 2025 (1), 216-235, 2022 | 10 | 2022 |
| Centering policy and practice: Research gaps around usable differential privacy R Cummings, J Sarathy 2023 5th IEEE International Conference on Trust, Privacy and Security in …, 2023 | 9 | 2023 |
| From algorithmic to institutional logics: the politics of differential privacy J Sarathy Available at SSRN 4079222, 2022 | 9 | 2022 |
| Interregional transfers for pandemic surges KA Michelson, CA Rees, J Sarathy, P VonAchen, M Wornow, ... Clinical Infectious Diseases 73 (11), e4103-e4110, 2021 | 9 | 2021 |
| Statistical Imaginaries, State Legitimacy: Grappling With the Arrangements Underpinning Quantification in the US Census J Sarathy, danah boyd Critical Sociology, 2024 | 2 | 2024 |
| Comment on “NIST SP 800-226: Guidelines for Evaluating Differential Privacy Guarantees” R Cummings, S Hod, G Kaptchuk, P Nanayakkara, J Sarathy, J Seeman Technical Report. 11 pages. https://cs-people. bu. edu/kaptchuk/publications …, 2024 | 2 | 2024 |
| "I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy P Song, J Sarathy, M Shoemate, S Vadhan Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2), 1-39, 2024 | 1 | 2024 |
| Attaxonomy: Unpacking Differential Privacy Guarantees Against Practical Adversaries R Cummings, S Hod, J Sarathy, M Swanberg arXiv preprint arXiv:2405.01716, 2024 | 1 | 2024 |
| Bridging Sociotechnical Gaps for Privacy-Preserving Data Science J Sarathy Harvard University, 2023 | 1 | 2023 |
| ‘Time Capsule’Archiving through Strong Dark Archives (SDA): Designing Trustable Distributed Archives for Sensitive Materials J Bowers, J Cushman, J Sarathy, J Zittrain Journal of Archival Organization 18 (3-4), 147-176, 2021 | 1 | 2021 |
| Efficient Multi-Key Verifiable Shuffles from Short Arguments for Randomized Algorithms B Bünz, M Raykova, J Sarathy | 1 | |
| Response to Kenny et al.’s Commentary J Sarathy PubPub, 2023 | | 2023 |
| Ring Signatures for Anonymous Sourcing in Journalism J Sarathy, C Kerner | | 2019 |
| Proving Correctness of a Shuffle in Zero-Knowledge: Approaches and Alternatives J Sarathy, M Raykova | | 2018 |
