Large language models are increasingly used in CNI-adjacent sectors such as law, journalism, mental health, and government. Misconceptions about privacy and data handling have already produced real-world harm, yet we have little understanding of how LLM interactions in these domains become exposed, misused, or exploited. This project will focus on three threat categories: accidental disclosure (logs, regenerated outputs, shared links), adversarial extraction (prompt reconstruction, conversation…
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