CIS Seminar: “Synthetic Data: Anonymisation Groundhog Day”
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Zoom - Email CIS for link
cherylh@cis.upenn.edu
Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing that addresses the shortcomings of traditional anonymisation techniques. The promise is that synthetic data drawn from generative models preserves the statistical properties of the original dataset but, at the same time, provides perfect protection against privacy attacks. In this work, we present the first […]

