Salil Vadhan

schoolHarvard Universitybar_chart#8301 Global Rank

Total Papers

HCI Rank

#8301

Research Areas

Years Active

Recent Publications

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

Differential privacy (DP) is a promising framework for privacy-preserving data science, but recent studies have exposed challenges in bringing this theoretical framework for privacy into practice. These tensions are particularly salient in the context of open-source software libraries for DP data analysis, which are e…

CHI '23CorrespondingAI Ethics, Fairness & Accountability +2

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

Across academia, government, and industry, data stewards are facing increasing pressure to make datasets more openly accessible for researchers while also protecting the privacy of data subjects. Differential privacy (DP) is one promising way to offer privacy along with open access, but further inquiry is needed into…

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