Researcher profile
Michael Thomas Smith
1 paper in the PaperMetrix corpus
Publications
Papers by this author
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Differentially Private Gaussian Processes
2016 · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
A major challenge for machine learning is increasing the availability of data while respecting the privacy of individuals. Here we combine the provable privacy guarantees of the Differential Privacy framework with the flexibility of Gaussian …