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.
Private stochastic convex optimization with optimal rates.arXiv preprint arXiv:1908.09970
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A survey of differential privacy theory, mechanisms, applications, and user-facing issues.
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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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A Comprehensive Guide to Differential Privacy: From Theory to User Expectations
A survey of differential privacy theory, mechanisms, applications, and user-facing issues.