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UID:pretalx-ozgurkon-2026-QMK3GL@cfp.oyd.org.tr
DTSTART;TZID=EET:20260425T143500
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DESCRIPTION:For years\, we have thought that our online nicknames will keep
  us safe. We considered that the verification of identities would be too c
 ostly. But recent research indicates that this situation is being dramatic
 ally shifted by large language models. Starting from unstructured text (an
 onymous forum posts\, comment histories\, and even brief interview transcr
 ipts) LLM-based systems can now match users to their real identities in mi
 nutes and for just a few dollars\, automating what would take a skilled in
 vestigator hours of manual OSINT work. \n\nIn this talk\, we will be looki
 ng at the deanonymization framework as introduced in "Large-scale online d
 eanonymization with LLMs" by ETH Zurich (2026) . We will discuss how succe
 ssful AI companies and governments would be at finding the person behind t
 he "nickname"\, if they decided to leverage this capability for user surve
 illance In a world where hiding behind aliases is no longer enough\, we wi
 ll address how we\, as the free software community\, need to rethink onlin
 e privacy.
DTSTAMP:20260430T045434Z
LOCATION:Tiyatro salonu
SUMMARY:AI Knows Who You Are: Large-Scale Deanonymization with LLMs and the
  End of Online Privacy - Kadir Arslan
URL:https://cfp.oyd.org.tr/ozgurkon-2026/talk/QMK3GL/
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