DPrivBench is a new benchmark for evaluating LLMs on differential privacy reasoning, with results showing good performance on textbook mechanisms but substantial failures on advanced algorithms.
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Private variants of individual and unit-level aid allocation admit interpretable bounds trading privacy, efficiency, and targeting precision in stochastic and distribution-free settings.
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DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy
DPrivBench is a new benchmark for evaluating LLMs on differential privacy reasoning, with results showing good performance on textbook mechanisms but substantial failures on advanced algorithms.
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Privacy, Prediction, and Allocation
Private variants of individual and unit-level aid allocation admit interpretable bounds trading privacy, efficiency, and targeting precision in stochastic and distribution-free settings.