Prof. Niv Gilboa

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Information-Theoretic Distributed Point Functions

Elette Boyle, Niv Gilboa, Yuval Ishai, Victor I. Kolobov

A distributed point function (DPF) (Gilboa-Ishai, Eurocrypt 2014) is a cryptographic primitive that enables compressed additive secret-sharing of a secret weight-1 vector across two or more servers. DPFs support a wide range of cryptographic applications, including efficient private information retrieval, secure aggregation, and more. Up to now, the study of DPFs was restricted to the computational security setting, relying on one-way functions. This assumption is necessary in the case of a dishonest majority. We present the first statistically private 3-server DPF for domain size N with subpolynomial key size No(1). We also present a similar perfectly private 4-server DPF. Our constructions offer benefits over their computationally secure counterparts, beyond the superior security guarantee, including better computational complexity and better protocols for distributed key generation, all while having comparable communication complexity for moderate-sized parameters.

Publication language English
Publication status Published - 01.07.2022
17

Keywords

Information-theoretic cryptography
homomorphic secret sharing
private information retrieval
secure multiparty computation

ASJC Scopus subject areas

Software
Access to Document
10.4230/LIPIcs.ITC.2022.17
Other files and links
Link to publication in Scopus