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POLAR-Bench: A Diagnostic Benchmark for Privacy-Utility Trade-offs in LLM Agents
POLAR-Bench evaluates LLM agent privacy-utility trade-offs via adversarial third-party probing across 10 domains, finding frontier models block over 99% of protected attributes while smaller open-weight models leak over half.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5