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ORCIDJayshree Sarathy
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2020 – today
- 2025
[j3]Jayshree Sarathy, Salil P. Vadhan:
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression. Proc. Priv. Enhancing Technol. 2025(1): 216-235 (2025)- 2024
- [j2]Patrick Song
, Jayshree Sarathy, Michael Shoemate, Salil P. Vadhan:
"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-39 (2024) - [i7]Rachel Cummings, Shlomi Hod, Jayshree Sarathy, Marika Swanberg:
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries. CoRR abs/2405.01716 (2024) - [i6]Rachel Cummings, Jayshree Sarathy:
Centering Policy and Practice: Research Gaps around Usable Differential Privacy. CoRR abs/2406.12103 (2024) - [i5]Patrick Song, Jayshree Sarathy, Michael Shoemate, Salil P. Vadhan:
"I inherently just trust that it works": Investigating Mental Models of Open-Source Libraries for Differential Privacy. CoRR abs/2410.09721 (2024) - 2023
- [c3]Jayshree Sarathy, Sophia Song, Audrey Haque, Tania Schlatter, Salil P. Vadhan:
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science. CHI 2023: 164:1-164:19 - [c2]Rachel Cummings, Jayshree Sarathy:
Centering Policy and Practice: Research Gaps Around Usable Differential Privacy. TPS-ISA 2023: 122-135 - [i4]Jayshree Sarathy, Sophia Song, Audrey Haque, Tania Schlatter, Salil P. Vadhan:
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science. CoRR abs/2302.11775 (2023) - 2022
- [j1]Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam D. Smith, Salil P. Vadhan:
Differentially Private Simple Linear Regression. Proc. Priv. Enhancing Technol. 2022(2): 184-204 (2022) - [c1]Mark Bun, Jörg Drechsler, Marco Gaboardi, Audra McMillan, Jayshree Sarathy:
Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling. FORC 2022: 1:1-1:24 - [i3]Jayshree Sarathy, Salil P. Vadhan:
Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression. CoRR abs/2207.13289 (2022) - 2021
- [i2]Jörg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam D. Smith:
Non-parametric Differentially Private Confidence Intervals for the Median. CoRR abs/2106.10333 (2021) - 2020
- [i1]Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam D. Smith, Salil P. Vadhan:
Differentially Private Simple Linear Regression. CoRR abs/2007.05157 (2020)
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