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SUMMARY:A View of the Dark Web through the Lens of NLP and Language Modeli
 ng - Youngjin Jin\, Korea Advanced Institute of Science & Technology (KAIS
 T)
DTSTART:20230627T130000Z
DTEND:20230627T140000Z
UID:TALK202717@talks.cam.ac.uk
CONTACT:Hridoy Sankar Dutta
DESCRIPTION:The Dark Web has always been a domain of interest for cybersec
 urity researchers looking to gain insight into emerging cybercriminal acti
 vities such as the sharing of illegal content\, scams\, malware\, etc. As 
 studies on the Dark Web commonly require textual analysis of the domain\, 
 language models specific to the Dark Web may provide valuable insights to 
 researchers. In this talk\, we begin with a brief introduction to the Dark
  Web\, followed by analysis of the Dark Web text using NLP techniques to u
 ncover some characteristics of how language might be used in the Dark Web.
  We then introduce DarkBERT\, a language model pretrained on Dark Web data
 \, and illustrate the benefits that a Dark Web domain specific model like 
 DarkBERT can offer in various use cases.\n\nRECORDING : Please note\, this
  event will be recorded and will be available after the event for an indet
 erminate period under a CC BY -NC-ND license. Audience members should bear
  this in mind before joining the webinar or asking questions.
LOCATION:Webinar - link on talks.cam page after 12 noon Tuesday
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