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 RYZ
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UID:pretalx-bsides-london-2024-EHBRYZ@cfp.securitybsides.org.uk
DTSTART;TZID=GMT:20241214T105500
DTEND;TZID=GMT:20241214T114000
DESCRIPTION:Indirect Prompt Injection (IPI) is a fascinating exploit. As or
 ganizations race to capitalize on the hype surrounding AI\, Large Language
  Models are being increasingly integrated with existing back-end services.
  In theory\, many of these implementations are vulnerable to Indirect Prom
 pt Injection\, allowing cunning attackers to execute arbitrary malicious a
 ctions in the context of a victim user. In practice\, IPI is poorly unders
 tood outside of academia\, with few real-world findings and even fewer pra
 ctical explanations.\n\nThis presentation seeks to bridge the gap between 
 academia and industry by introducing the Indirect Prompt Injection Methodo
 logy - a structured approach to finding and exploiting IPI vulnerabilities
 . By analyzing each step\, examining sample prompts\, and breaking down ca
 se studies\, participants will gain insights into constructing Indirect Pr
 ompt Injection attacks and reproducing similar findings in other applicati
 ons.\n\nFinally\, the talk will cover IPI mitigations\, elaborating on why
  this vulnerability is so difficult to defend against. The presentation wi
 ll provide practical knowledge on securing LLM applications against IPI an
 d highlight how this exploit poses a major roadblock to the future of adva
 nced AI implementations.
DTSTAMP:20260609T063321Z
LOCATION:Clappy Monkey Track
SUMMARY:The Practical Application of Indirect Prompt Injection Attacks: Fro
 m Academia to Industry - David Willis-Owen
URL:https://cfp.securitybsides.org.uk/bsides-london-2024/talk/EHBRYZ/
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