Google launches open-source differential privacy library

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Google released an open-source version of its differential privacy library Friday, TechCrunch reported. The library powers some of the company’s core products.

“Whether you’re a city planner, a small business owner, or a software developer, gaining useful insights from data can help make services work better and answer important questions,” writes Miguel Guevara, a product manager in the company’s Privacy and Data Protection Office. “But, without strong privacy protections, you risk losing the trust of your citizens, customers, and users. Differentially-private data analysis is a principled approach that enables organizations to learn from the majority of their data while simultaneously ensuring that those results do not allow any individual’s data to be distinguished or re-identified.”  As Google notes, the current version of the Apache-licensed C++ library focuses on features that are typically hard to build from scratch and includes many of the standard statistical functions that developers would need (think count, sum, mean, variance, etc.).

Check It Out: Google launches open-source differential privacy library

Google launches open-source differential privacy library
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