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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260420T133037Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10565\n<span background-color:=
 "" font-size:="" helvetica="" lucida="" style="color: rgb(68, 68, 68); font
 -family: ">In this session, Matt Vogt of Immuta will discuss the conflicts 
 between privacy and machine learning and common concerns such as link attac
 ks and profiling. He will also explore strategies that allow usage of perso
 nal information while protecting privacy, including concepts around consent
  and analytical context and techniques for implementing privacy by design &
 ndash; a cornerstone of the General Data Protection Regulation (GDPR) compl
 iance.</span>
DTSTART:20190320T094500
SUMMARY:Can Privacy Exist with Machine Learning?
DTEND:20190320T101459
LOCATION: See Description
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