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SUMMARY:Data anonymization and differential privacy - Amy Nichol\, Churchi
 ll College
DTSTART:20210210T190000Z
DTEND:20210210T193000Z
UID:TALK157282@talks.cam.ac.uk
CONTACT:Matthew Ireland
DESCRIPTION:Data is money in computer science. It provides companies insig
 hts into user behaviour and is invaluable in medical research. But how is 
 your privacy protected when your data is released into the public domain? 
 \n\nIn this talk I will look at some basic ways to “anonymize” data an
 d then show how we can attack these methods and give some examples of some
  high profile cases of these attacks. I will then introduce differential p
 rivacy\, giving you an overview of the mathematical foundations that it st
 ands on and some of its key properties that it guarantees when you use it 
 to anonymise data. \n
LOCATION:Online\, via MS Teams
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