threat-intel
LLMs and Contextual Integrity
Medium
Summary
Researchers have discovered that large language models (LLMs) frequently leak sensitive information from their memory, even when it's inappropriate for the current task. This behavior stems from a lack of contextual awareness and leads to unpredictable and potentially harmful data exposure. The study highlights a critical need for LLMs to reason about context and implement safeguards to prevent inappropriate information disclosure. Current prompting techniques don't address this fundamental issue.
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