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We’ve just launched Tumult Analytics as an open source library
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Tumult Labs is a leader in differentially private technology and its applications.
What anonymization techniques can you trust?
Differential privacy made easy… and open-source!
Video: Sharing insights without leaking personal information
Tiny bits matter: precision-based attacks on differential privacy
Is differential privacy the right fit for your problem?
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
How Tumult Labs helped the IRS support educational accountability with differential privacy
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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