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Tumult Labs is a leader in differentially private technology and its applications.
CATEGORIES
Case Study
Research
Case Study
How Tumult Labs helped the IRS support educational accountability with differential privacy
Research
Equity and Privacy: More Than Just a Tradeoff
Research
Differentially Private Algorithms for Detailed Race and Ethnicity in the 2020 Census
Research
Using Differential Privacy to Safely Release Earnings Data on Post-Secondary Grads
Research
Customizing Differential Privacy to Meet Legal Interpretations of Privacy and Deliver Accurate Data
Research
An Innovative Programming Framework for Authoring Accurate, Efficient and Private Algorithms
Research
PrivateSQL: Reimagining and Designing a New Differentially Private SQL Query Engine
Research
HDMM: Automatic Optimization for Accurately Answering Sets of High-Dimensional Queries Under Differential Privacy
Research
The Question of Fairness: Our proposal for Improved DP Algorithms in Order to Strengthen Equity
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