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Rényi differential privacy: divergence-based accounting and adaptive composition

Contribution grade

Privacy definitions and composition · Human-designed research method or resource

Reference score270,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Defined privacy via bounds on Rényi divergence between neighboring-input output distributions, preserving post-processing and additive same-order composition while supporting conversion to approximate DP.

Scientific scope

Defined privacy via bounds on Rényi divergence between neighboring-input output distributions, preserving post-processing and additive same-order composition while supporting conversion to approximate DP. Inherits Rényi divergence, DP and earlier moment/concentrated-privacy analyses; not invention of those ingredients. Guarantees depend on adjacency and order/budget choices, and comparison to pure or approximate DP requires conversion, not identical epsilon values. Delta is not generally a literal probability that all privacy fails. This is a source-reported theory record, not independent proof or implementation certification.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits Rényi divergence, DP and earlier moment/concentrated-privacy analyses; not invention of those ingredients. Guarantees depend on adjacency and order/budget choices, and comparison to pure or approximate DP requires conversion, not identical epsilon values. Delta is not generally a literal probability that all privacy fails. This is a source-reported theory record, not independent proof or implementation certification.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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