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Microsoft develops new differential privacy platform

Microsoft recently launched differential privacy platform, which injects a small amount of statistical “noise” to large data sets to protect individual privacy without materially impacting the accuracy of the data.

The differential privacy platform and its algorithms are now available on GitHub for developers, researchers, academics and companies worldwide to use for testing, building and support. We welcome and look forward to the feedback in response to this historic project.

Source: New differential privacy platform co-developed with Harvard’s OpenDP unlocks data while safeguarding privacy – Microsoft on the Issues

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