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SUMMARY:An Overview of Differential Privacy\, Membership Inference Attacks
 \, and Federated Learning - Ali Shahin Shamsabadi (Alan Turing Institute) 
 and John Bronskill (University of Cambridge)
DTSTART:20230301T110000Z
DTEND:20230301T123000Z
UID:TALK197923@talks.cam.ac.uk
CONTACT:James Allingham
DESCRIPTION:This tutorial will cover the basics of differential privacy (D
 P) including the Gaussian mechanism\, training networks with DP-SGD\, and 
 a look at various state-of-the-art approaches. We then describe the ideas 
 behind membership inference attacks and show how they can be used to audit
  differentially private systems. Finally\, we give an overview of federate
 d learning and explain how it can be made to be differentially private. If
  there is time remaining\, we will present a case study on differentially 
 private speech.\n\nRequired Reading: None.
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
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