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BEGIN:VEVENT
UID:pretalx-2024-39KUWQ@cfp.nsec.io
DTSTART;TZID=EST:20240516T100000
DTEND;TZID=EST:20240516T103000
DESCRIPTION:There are various Machine Learning/BigData frameworks that have
  become quite popular in the past year due to the release of ChatGPT. This
  sudden popularity has caused that the scale for growth in parallel comput
 ing comes first and leaves aside the implementation of security mechanisms
  in some of the frameworks' components. In this talk I will go over the re
 search process that I performed on one of these frameworks in an AWS insta
 ll\, showing how it started as two vulnerabilities in a web dashboard and 
 quickly became privilege escalation in an AWS account.
DTSTAMP:20260916T061833Z
LOCATION:Salle de Bal
SUMMARY:With Great gAIn Comes Greater Security Issues - When ML Frameworks'
  Scale for Growth Incorporates Security Risks to Users' Cloud Accounts - B
 erenice Flores
URL:https://cfp.nsec.io/2024/talk/39KUWQ/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-2024-QHV3MR@cfp.nsec.io
DTSTART;TZID=EST:20240516T113000
DTEND;TZID=EST:20240516T120000
DESCRIPTION:Q&A Discussion for the Machine Learning (ML) block.
DTSTAMP:20260916T061833Z
LOCATION:Salle de Bal
SUMMARY:Machine Learning Q&A - François Labrèche\, Berenice Flores\, Loga
 n MacLaren
URL:https://cfp.nsec.io/2024/talk/QHV3MR/
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