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UID:62366234-6336-4433-b366-636435323162
X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:BMIAI Seminar - A Marauder&#039\;s Map of Security and Privacy
  in Machine Learning - Nicolas Papernot
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20211107T090000Z
BEGIN:STANDARD
TZNAME:PST
DTSTART:20181104T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20191103T020000
RDATE:20201101T020000
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TZNAME:PDT
DTSTART:20190310T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20200308T020000
RDATE:20210314T020000
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BEGIN:VEVENT
UID:68d2aa2b-409b-4e03-814c-d90281559f96
DTSTAMP:20260613T014535Z
CLASS:PUBLIC
CREATED:20190930T174850Z
DESCRIPTION:Abstract: There is growing recognition that machine learning (M
 L) exposes new security and privacy vulnerabilities in software systems\, 
 yet the technical community's understanding of the nature and extent of th
 ese vulnerabilities remains limited but expanding. In this talk\, we explo
 re the threat model space of ML algorithms through the lens of Saltzer and
  Schroeder's principles for the design of secure computer systems. This ch
 aracterization of the threat space prompts an investigation of current and
  future research directions. We structure our discussion around two of the
 se directions\, which…
DTSTART;TZID=America/Vancouver:20191003T110000
DTEND;TZID=America/Vancouver:20191003T120000
LAST-MODIFIED:20210611T171344Z
LOCATION:Fred Kaiser - 2020/2030\, 2332 Main Mall\, Vancouver\, BC
SUMMARY:BMIAI Seminar - A Marauder's Map of Security and Privacy in Machine
  Learning - Nicolas Papernot
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/bmiai-seminar-marauders-map-security-and-pri
 vacy-machine-learning-nicolas-papernot
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