CCS2025

Encrypted Matrix-Vector Products from Secret Dual Codes

Fabrice Benhamouda, Caicai Chen, Shai Halevi, Yuval Ishai, Hugo Krawczyk, Tamer Mour, Tal Rabin, Alon Rosen

1 citation

Abstract

Motivated by applications to efficient secure computation, we consider the following problem of encrypted matrix-vector product (EMVP). Let ⅇ be a finite field. In an offline phase, a client uploads an encryption of a matrix M∈ ⅇmxℓ to a server, keeping only a short secret key. The server stores the encrypted matrix M. In the online phase, the client may repeatedly send encryptions qi of query vectors qi∈ ⅇℓ, which enables the client and the server to locally compute compact shares of the matrix-vector product M qi. The server learns nothing about M or qi. The shared output can either be revealed to the client or processed by another protocol.