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The Simple, Yet Lethal, Anatomy of an AI Attack

Talkat SOSS Fusion 2024 · on Wednesday, 2024-10-23· at 15:40· Salon 2-3· [security, large-language-models]
github:ErezYalon
slides:none on file

Shows concrete attacks: a known campaign targets the Ray package and Ray package had no auth, letting attackers leverage dependencies to touch model training; found Hugging Face uploads with leaked tokens and a wrapped model that pickled model opening shell to spawn remote shells; fine-tuned poisoning converts benign LLMs into malware — a poisoned CoPilot injected exfil payload that appends data-leak code to generated lines; researchers harvest millions of Ring videos and used AWS Rekognition to locate passwords, which worked until Amazon patched it.

AI-written summary · about

  1. 0:00Introduction to AI security
  2. 3:39Why latest tech is most hacked
  3. 8:16Mitre Atlas threat framework
  4. 11:30Remote code execution in models
  5. 15:24Poisoned LLM attacks
  6. 19:09AI as future development language
  7. 23:06Using AI for classic attacks
  8. 27:51New era of old threats
  9. 29:17Q&A and closing remarks
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