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Differentially private false discovery rate control

Differential privacy provides a rigorous framework for privacy-preserving data analysis. This paper proposes the first differentially private procedure for controlling the false discovery rate (FDR) in multiple hypothesis testing. Inspired by the Benjamini-Hochberg procedure (BHq), our approach is t...

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Principais autores: Cynthia Dwork, Weijie Su, Li Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: Labor Dynamics Institute 2021-09-01
coleção:The Journal of Privacy and Confidentiality
Assuntos:
Differential privacy, Report Noisy Max, false discovery rate, Benjamini– Hochberg procedure, positive regression dependence on subset, submartingale
Acesso em linha:https://journalprivacyconfidentiality.org/index.php/jpc/article/view/755
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