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Knostic research unveils timing-based vulnerabilities in AI large language models

  • New research from Knostic Inc. reveals timing-based vulnerabilities in AI large language models (LLMs).
  • The vulnerabilities, called #noRAGrets, bypass model guardrails through a race condition-like attack.
  • Exploitation methods use timing techniques to manipulate LLM application activity and extract sensitive information.
  • The research highlights the importance of designing and testing LLM applications with a comprehensive approach.

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