Efficient noise generation to achieve differential privacy with applications to secure multiparty computation

DOI10.1007/978-3-662-64322-8_13OpenAlexW3210461776MaRDI QIDQ2145393

Reo Eriguchi, Atsunori Ichikawa, Noboru Kunihiro, Koji Nuida

Publication date: 17 June 2022

Full work available at URL: https://doi.org/10.1007/978-3-662-64322-8_13

zbMATH Keywords

binomial distributionLaplace distributiondifferential privacysecure multiparty computation

Mathematics Subject Classification ID

Cryptography (94A60) Data encryption (aspects in computer science) (68P25) Computer system organization (68Mxx)

Related Items (1)

Secure sampling with sublinear communication

Cites Work

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