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VEPA: Verified Evolving Formal Policy for Lifelong LLM Agent Guardrails

Nguyen, Duy et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagecryptography-and-securitymachine-learning
LLM agents increasingly operate over sensitive resources, such as private documents and mutable system states, which can create serious safety and security risks. Runtime guardrails should therefore make inspectable, reproducible, and deterministic allow or refuse decisions before potentially irreve
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