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Forget training LLMs to understand privacy policies – a specialized, expert-annotated dataset and hybrid framework can do it better, achieving superior readability and reliability.
LLMs under attack exhibit a tell-tale "Entropy Lull" – a period of abnormally low and stable token probability entropy – that can be exploited for highly accurate and efficient attack detection.
