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CCS2025顶会

Encrypted Matrix-Vector Products from Secret Dual Codes

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

2025年份
1被引次数
2顶会引用

摘要

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.

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