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Enhanced Privacy Bound for Shuffle Model with Personalized Privacy

PubMed(2024)10.1145/3627673.3679911Source: DataRank Database

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)Topics (10)IDs (PubMed, PMC)

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Authors (5)

Yuhan Liu ORCID,Li Xiong ORCID,Yujie Gu ORCID,Hong Chen ORCID,Yixuan Liu ORCID

Live enrichment

PubMed:40401165 PMC:PMC12094779

National Science Foundation

Grant: CNS-2124104, CNS-2125530, IIS-2302968

National Natural Science Foundation of China

Grant: U23A20299, 62072460, 62172424, 62276270, 62322214

National Institute of Health

Grant: R01LM013712, R01ES033241

National Key Research & Develop Plan

Grant: 2023YFB4503600

NIEHS NIH HHS

Grant: R01 ES033241

NLM NIH HHS

Grant: R01 LM013712

National Institutes of Health

Grant: 5R01LM013712-08

Decentralized differentially-private methods for dynamic data release and analysis

Fields of Study

0102 computer and information sciences01 natural sciences

Keywords

Differential PrivacyShuffle ModelPersonalized PrivacyFOS: Computer and information sciencesComputer Science - Cryptography and SecurityComputer Science - DatabasesDatabases (cs.DB)Cryptography and Security (cs.CR)