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SUMMARY:Differential Privacy - A Toolkit for Stability\, Robustness\, and 
 Statistical Validity
DTSTART:20150710T140000
DTEND:20150710T150000
DTSTAMP:20260407T193304Z
UID:a748d7a66a01ab1434aa012591a0a74e903935bbe52c01f3a9d00113
CATEGORIES:Conferences - Seminars
DESCRIPTION:Katrina Ligett\nAbstract: In this talk\, I'll give an introduc
 tion to differential privacy with an emphasis on its relationship to machi
 ne learning\, and its usefulness outside of privacy. Along the way\, I'll 
 give a taste for the mathematical tools that can be used to achieve differ
 ential privacy. My thesis is that anyone who cares about data should care 
 about the tools that the differential privacy literature offers.Short Bio:
  Katrina Ligett is an assistant professor of computer science and economi
 cs at Caltech. In Fall 2015\, she will be on leave from Caltech and joinin
 g the faculty at Hebrew University. Before joining Caltech in 2011\, she d
 id postdoctoral work at Cornell\, and she received her PhD in computer sci
 ence from Carnegie Mellon in 2009. Her primary research interests are in m
 athematical foundations for data privacy\, and in game theory. She has rec
 eived an NSF Career Award\, a Microsoft Research Faculty Fellowship\, a Go
 ogle Faculty Research Award\, and an Okawa Foundation Research Grant.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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