Private Join and Compute keeps individual information safe while allowing organizations to accurately compute and draw useful insights from aggregate statistics. By sharing the technology more widely, we hope this expands the use cases for secure computing. To learn more about the research and methodology behind Private Join and Compute,
read the full paper and
access the open source code and documentation. We’re excited to see how other organizations will advance MPC and cryptography to answer important questions while upholding individual privacy.
Acknowledgements
Product Manager - Nirdhar Khazanie
Software Engineers - Mihaela Ion, Benjamin Kreuter, Erhan Nergiz, Quan Nguyen, and Karn Seth
Research Scientist - Mariana Raykova
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