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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.).