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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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0111 · Mar 201619922001200920182026
5 results for “Pufferfish”
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iterationcs.CR

Enhances privacy in machine learning through Rényi Pufferfish mechanisms.

problem Designing general and efficient Pufferfish mechanisms that maintain privacy and utility.
method Introduces a Rényi divergence-based variant of Pufferfish, generalizes the Wasserstein mechanism, and proves privacy amplification results.
result Extends the applicability of Pufferfish framework and provides stronger privacy guarantees.
privacydifferential privacyRényi divergenceWasserstein mechanismprivacy amplification
2023-12-21abs ↗pdf ↗
Application-driven Privacy-preserving Data Publishing with Correlated Attributescs.LG

PR-GAN preserves data privacy while maintaining utility for specific applications.

problem Privacy concerns in collecting personal data and machine learning inference.
method Generative adversarial networks (GAN) to modify data, incorporating prior knowledge of correlations.
result PR-GAN provides privacy guarantees under the Pufferfish framework, outperforming conventional methods.
privacy-preservingdata publishingcorrelated attributesgenerative adversarial networksdifferential privacy
2018-12-26abs ↗pdf ↗