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PRODID:-//Superpower Daily//AI Events//EN
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METHOD:PUBLISH
X-WR-CALNAME:Superpower Daily AI events
BEGIN:VEVENT
UID:bbea4956-bcb5-454f-a0bc-b5818c6e1b68@superpowerdaily.com
DTSTAMP:20261012T020356Z
LAST-MODIFIED:20261012T020356Z
DTSTART:20261015T201500Z
DTEND:20261015T211500Z
SUMMARY:ORC Seminar: OR with a White Hat: Evidencing Privacy Vulnerabilitie
 s in ML Models
DESCRIPTION:Professor Thibaut Vidal from École Polytechnique de Montréal 
 will dig into how operations research techniques can expose and fix privac
 y vulnerabilities in machine learning models used in finance and medicine\
 , revealing everything from data reconstruction attacks on random forests 
 to how counterfactual explanations can be exploited—and why differential
  privacy alone isn't the silver bullet everyone thinks it is.\nDetails: ht
 tps://superpowerdaily.com/events/orc-seminar-or-with-a-white-hat-evidencin
 g-privacy-vulnerabilities-in-ml-models-bbea4956-bcb5-454f-a0bc-b5818c6e1b6
 8\nRegister: https://calendar.mit.edu/event/orc-seminar-or-with-a-white-ha
 t-evidencing-privacy-vulnerabilities-in-ml-models
LOCATION:Building E51\, Boston\, MA
URL:https://superpowerdaily.com/events/orc-seminar-or-with-a-white-hat-evid
 encing-privacy-vulnerabilities-in-ml-models-bbea4956-bcb5-454f-a0bc-b5818c
 6e1b68
STATUS:TENTATIVE
TRANSP:TRANSPARENT
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