Spring 2019

Open DP: A Proposal for an Open-Source Suite of Differential Privacy Tools

Friday, March 8th, 2019 2:30 pm3:15 pm

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Salil Vadhan (Harvard University)

I will pitch and try to rally support for launching a community effort to build a system of tools for enabling privacy-protective analysis of sensitive personal data.  Key among them will be an open-source library of algorithms for generating differentially private statistical releases, vetted and cumulated from leading researchers in differential privacy, and implemented for easy adoption by custodians of large-scale sensitive data.  The hope is that this will become a standard body of trusted and open-source implementations of differentially private algorithms for statistical analysis and machine learning on sensitive data.  It will magnify the impact of academic research on differential privacy, by providing a channel that brings algorithmic developments to a wide array of practitioners.