Google is making it easier for AI developers to keep users’ data private

ronjor · Mar 6, 2019

By James Vincent Mar 6, 2019

The company’s new TensorFlow Privacy module lets devs safeguard data with differential privacy
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guest · Sep 5, 2019

Google is open sourcing a tool for data scientists to help protect private information
Google is making differential privacy available to anyone
September 5, 2019
https://www.theverge.com/2019/9/5/2...privacy-open-source-tool-privacy-data-sharing

Google today announced that it is open sourcing its so-called differential privacy library, an internal tool the company uses to securely draw insights from data sets that contain the private and sensitive personal information of its users.
Earlier this year, Google also open sourced a tool for its TensorFlow AI training platform, called TensorFlow Privacy, that lets researchers use differentia privacy to protect user data while training AI algorithms.

In a separate interview with The Verge, Guevara says Google’s quest to develop a differential privacy approach to data analysis for its own internal tools was long, difficult, and resource-intensive, much more so than the company initially thought. That’s why Google is hoping that, by open sourcing its library on GitHub, it can help organizations and individuals without the resources of a large Silicon Valley tech company approach data analysis with a similarly rigorous approach to privacy.
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Google is making it easier for AI developers to keep users’ data private

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