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What and Who
Title:Differential Privacy as a Learning Problem
Speaker:Moritz Hardt
coming from:IBM Almaden
Speakers Bio:
Event Type:Lecture
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
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Level:Public Audience
Date, Time and Location
Date:Monday, 19 November 2012
Duration:60 Minutes
Building:E1 4

This talk is about privacy-preserving analysis of sensitive data. We are interested in algorithms that satisfy the strong privacy guarantee known as differential privacy.
We show how to interpret differentially private data analysis as a learning problem. We use this connection to give several powerful algorithms for this task.
We conclude with the main algorithmic challenges that remain open.

I will assume no knowledge of differential privacy.

Name(s):Kurt Mehlhorn
Video Broadcast
Video Broadcast:NoTo Location:
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Created:Kurt Mehlhorn/AG1/MPII/DE, 05/25/2012 04:52 PM Last modified:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Kurt Mehlhorn, 11/15/2012 08:55 AM
  • Kurt Mehlhorn, 05/25/2012 04:52 PM -- Created document.