Renyi Differential Privacy
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We propose a natural relaxation of differential privacy based on the Renyi divergence. Closely related notions have appeared in several recent papers that analyzed composition of differentially private mechanisms. We argue that the useful analytical tool can be used as a privacy definition, compactly and accurately representing guarantees on the tails of the privacy loss. We demonstrate that the new definition shares many important properties with the standard definition of differential privacy, while additionally allowing tighter analysis of composite heterogeneous mechanisms.
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Forward citations
Cited by 2 Pith papers
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DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy
DPrivBench shows that top LLMs handle basic differential privacy mechanisms but fail on advanced algorithms, exposing gaps in automated DP reasoning.
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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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