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Dataset · Hugging Face

Qiaoyuan/TUPLE-Bench

TUPLE-Bench Auditing privacy–utility trade-offs in typed decision outputs. Code and evaluation APIs · Full dataset ZIP · Reproduction guide Maintained by Qiaoyuan Zheng. Dataset summary TUPLE-Bench studies whether ordinary decision fields reveal a protected fine mechanism beyond an authorized coarse category. A recipient may learn NETWORK, for example, without learning whether the cause was a stale resolver entry or a stale overlay route. The benchmark contains… See the full description on the dataset page: https://huggingface.co/datasets/Qiaoyuan/TUPLE-Bench.

Author / organizationQiaoyuan
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Created16 October 2026
Last updated at source16 October 2026
privacyprivacy-utilitytyped-decisionscounterfactual-pairssyntheticwcpq
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  • 16 Oct 2026 Description: none → TUPLE-Bench Auditing privacy–utility trade-offs in typed decision outputs. Code and evaluation APIs · Full dataset ZIP · Reproduction guide Maintained by Qiaoyuan Zheng. Dataset summary TUPLE-Bench studies whether ordinary decision fields r
  • 16 Oct 2026 Topics added task_categories:text-classification, privacy, privacy-utility, typed-decisions, counterfactual-pairs, synthetic, wcpq

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