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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
Benchmarking Differentially Private Synthetic Data Generation Algorithms
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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