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Qiaoyuan/POLAR-Bench

POLAR-Bench A Diagnostic Benchmark for Privacy-Utility Trade-offs in LLM Agents Poster at NeurIPS 2026 E&D Track. Qiaoyuan Zheng*, Yiqu Yang*, Qi Gao*, Imanol Schlag†ETH Zurich · ETH AI Center* Equal contribution. † Corresponding author. Published by Qiaoyuan ZHENG. Project website · Paper · Evaluation code · Quick start POLAR-Bench evaluates whether an LLM agent shares task-required information while protecting private attributes during adversarial interaction.… See the full description on the dataset page: https://huggingface.co/datasets/Qiaoyuan/POLAR-Bench.

Author / organizationQiaoyuan
License (as declared)cc-by-4.0
Downloads227 (as reported by Hugging Face)
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Created28 September 2026
Last updated at source28 September 2026
privacyllm-agentsbenchmarkadversarial-evaluationsynthetic
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