Google has today announced the launch of an open-source version of the differential privacy framework that powers many of the company’s data analysis systems. Differentially-private data analysis is an approach that enables organizations to learn from the majority of their data while simultaneously ensuring that those results don't allow any individual's data to be distinguished or re-identified. "Today, we're rolling out the open-source version of the differential privacy library that helps power some of Google’s core products," says Miguel Guevara, product manager of Google's Privacy and Data Protection Office writing on the company's blog. "To make the library easy for…
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