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DTSTART:20230312T070000
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DTSTART;TZID=America/Toronto:20230816T093000
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URL:https://uwaterloo.ca/computer-science/events/phd-defence-crysp-percepti
 ons-and-practicalities-for-privacy-in-machine-learning
LOCATION:200 University Avenue West Online PhD defence Waterloo ON N2L 3G1 
 Canada
SUMMARY:PhD Defence • Cryptography\, Security\, and Privacy (CrySP) •\n
 Perceptions and Practicalities for Privacy in Machine Learning
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS PHD DEFENCE WILL TAKE PLACE ONLINE.\n\nBAILEY
  KACSMAR\, PHD CANDIDATE\n_David R. Cheriton School of Computer Science_\n
 \nSUPERVISOR: Professor Florian Kerschbaum\n\nPrivacy in machine learning 
 holds great promise for enabling\norganizations to analyze data they and t
 heir partners hold while\nmaintaining data subjects’ privacy.
DTSTAMP:20260408T192441Z
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