POLAR-Bench introduces a diagnostic evaluation pitting policy-aware trusted LLM agents against adversarial probe models, finding frontier models withhold over 99% of protected attributes while smaller 1-30B models leak substantially more.
Domain: {domain} Privacy-policy inputs: {policy_inputs_json} Output format: Return only the privacy policy text, with no title and no extra explanation
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POLAR-Bench: A Diagnostic Benchmark for Privacy-Utility Trade-offs in LLM Agents
POLAR-Bench introduces a diagnostic evaluation pitting policy-aware trusted LLM agents against adversarial probe models, finding frontier models withhold over 99% of protected attributes while smaller 1-30B models leak substantially more.