International Association for Cryptologic Research

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Large-Plaintext Functional Bootstrapping in FHE with Small Bootstrapping Keys

Authors:
Kuiyuan Duan , Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Hongbo Li , Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Dengfa Liu , Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Guangsheng Ma , North China Electric Power University, Beijing, China
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Conference: TCC 2025
Abstract: Functional bootstrapping is a core technique in Fully Homomorphic Encryption(FHE). For large plaintext, to evaluate a general function homomorphically over a ciphertext, in the FHEW/TFHE approach, since the function in look-up table form is encoded in the coefficients of a test polynomial, the degree of the polynomial must be high enough to hold the entire table. This increases the bootstrapping time complexity and memory cost, as the size of bootstrapping keys and keyswitching keys need to be large accordingly. In this paper, we propose to encode the look-up table of any function in a polynomial vector, whose coefficients can hold more data. The corresponding representation of the additive group ${\mathbb Z}_q$ used in the RGSW-based bootstrapping is the group of monic monomial permutation matrices, which integrates the permutation matrix representation used by Alperin-Sheriff and Peikert in 2014, and the monic monomial representation used in the FHEW/TFHE scheme. We make comprehensive investigation of the new representation, and propose a new bootstrapping algorithm based on it. The new algorithm supports functional bootstrapping of large-plaintexts, and achieves polynomial reduction in key sizes and a constant-factor improvement in run-time cost.
BibTeX
@inproceedings{tcc-2025-36191,
  title={Large-Plaintext Functional Bootstrapping in FHE with Small Bootstrapping Keys},
  publisher={Springer-Verlag},
  author={Kuiyuan Duan and Hongbo Li and Dengfa Liu and Guangsheng Ma},
  year=2025
}