BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Drupal iCal API//EN X-WR-CALNAME:Events items teaser X-WR-TIMEZONE:America/Toronto BEGIN:VTIMEZONE TZID:America/Toronto X-LIC-LOCATION:America/Toronto BEGIN:DAYLIGHT TZNAME:EDT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 DTSTART:20230312T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20231105T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:6830bdbf3e4b3 DTSTART;TZID=America/Toronto:20240129T100000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20240129T130000 URL:/computer-science/events/phd-defence-ml-security-pr ivacy-analyzing-risks-of-large-scale-machine-learning-systems SUMMARY:PhD Defence • Machine Learning | Security and Privacy • Analyzi ng\nRisks of Large-Scale Machine Learning Systems CLASS:PUBLIC DESCRIPTION:Summary \n\nPLEASE NOTE: THIS PHD DEFENCE WILL TAKE PLACE IN DC 3317 AND ONLINE.\n\nNILS LUKAS\, PHD CANDIDATE\n_David R. Cheriton School of Computer Science_\n\nSUPERVISOR: Professor Florian Kerschbaum\n DTSTAMP:20250523T182607Z END:VEVENT END:VCALENDAR