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Create privacy-preserving synthetic data for machine learning with SmartNoise

opensource.microsoft.com · published 18 February 2021

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https://aiplus.odsc.com/courses/privacy-preserving-analytics-and-machine-learning-with-differential-privacy

aiplus.odsc.com

https://azure.microsoft.com/en-us/resources/microsoft-smartnoisedifferential-privacy-machine-learning-case-studies

azure.microsoft.com

https://projects.iq.harvard.edu/opendp

projects.iq.harvard.edu

https://cloudblogs.microsoft.com/opensource/2020/05/19/new-differential-privacy-platform-microsoft-harvard-opendp/

cloudblogs.microsoft.com

https://smartnoise.org/

smartnoise.org

https://github.com/opendifferentialprivacy

github.com

https://arxiv.org/abs/2011.05537

arxiv.org

https://github.com/opendifferentialprivacy/smartnoise-samples/tree/master/whitepaper-demos

github.com