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:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69e0b8ac296cb
DTSTART;TZID=America/Toronto:20221017T103000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20221017T113000
URL:https://uwaterloo.ca/computer-science/events/dsg-seminar-series-efficie
 nt-collaborative-analytics-with-no-information-leakage
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West DC 1302 Waterloo ON N2L 3G1 Canada
SUMMARY:DSG Seminar Series • Efficient Collaborative Analytics With No\nI
 nformation Leakage: An Idea Whose Time Has Come
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS SEMINAR WILL TAKE PLACE IN DC 1302.\n\nVASILI
 KI (VASIA) KALAVRI\, ASSISTANT PROFESSOR\n_Department of Computer Science\
 , Boston University_\n\nEnabling secure outsourced analytics with practica
 l performance has\nbeen a long-standing research challenge in the database
  community. In\nthis talk\, I will present our work towards realizing this
  vision with\nSecrecy\, a new framework for secure relational analytics in
  untrusted\nclouds.
DTSTAMP:20260416T102340Z
END:VEVENT
END:VCALENDAR