Jayshree Sarathy

According to our database, Jayshree Sarathy authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau's Use of Differential Privacy.

danah boyd, Jayshree Sarathy

CoRR, February, 2026

Statistical Imaginaries, State Legitimacy: Grappling with the Arrangements Underpinning Quantification in the U.S. Census.

Jayshree Sarathy, danah boyd

CoRR, February, 2026

"Having Confidence in My Confidence Intervals": How Data Users Engage with Privacy-Protected Wikipedia Data.

Harold Triedman, Jayshree Sarathy, Priyanka Nanayakkara, Rachel Cummings, Gabriel Kaptchuk, Sean Kross, Elissa M. Redmiles

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression.

Jayshree Sarathy, Salil P. Vadhan

Proc. Priv. Enhancing Technol., 2025

2024

"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy.

Patrick Song, Jayshree Sarathy, Michael Shoemate, Salil P. Vadhan

Proc. ACM Hum. Comput. Interact., 2024

ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries.

Rachel Cummings, Shlomi Hod, Jayshree Sarathy, Marika Swanberg

CoRR, 2024

2023

Centering Policy and Practice: Research Gaps Around Usable Differential Privacy.

Rachel Cummings, Jayshree Sarathy

Proceedings of the 5th IEEE International Conference on Trust, 2023

Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science.

Jayshree Sarathy, Sophia Song, Audrey Haque, Tania Schlatter, Salil P. Vadhan

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Differentially Private Simple Linear Regression.

Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam D. Smith, Salil P. Vadhan

Proc. Priv. Enhancing Technol., 2022

Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.

Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan, Jayshree Sarathy

Proceedings of the 3rd Symposium on Foundations of Responsible Computing, 2022

2021

Non-parametric Differentially Private Confidence Intervals for the Median.

Jörg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam D. Smith

CoRR, 2021