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We’ve just launched Tumult Analytics as an open source library
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Tiny bits matter: precision-based attacks on differential privacy
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Equity and Privacy: More Than Just a Tradeoff
Differentially Private Algorithms for Detailed Race and Ethnicity in the 2020 Census
Using Differential Privacy to Safely Release Earnings Data on Post-Secondary Grads
Customizing Differential Privacy to Meet Legal Interpretations of Privacy and Deliver Accurate Data
An Innovative Programming Framework for Authoring Accurate, Efficient and Private Algorithms
PrivateSQL: Reimagining and Designing a New Differentially Private SQL Query Engine
HDMM: Automatic Optimization for Accurately Answering Sets of High-Dimensional Queries Under Differential Privacy
The Question of Fairness: Our proposal for Improved DP Algorithms in Order to Strengthen Equity
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