[Resource Topic] 2023/366: Efficient Homomorphic Evaluation of Arbitrary Uni/Bivariate Integer Functions and Their Applications

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Efficient Homomorphic Evaluation of Arbitrary Uni/Bivariate Integer Functions and Their Applications

Authors: Daisuke Maeda, Koki Morimura, Shintaro Narisada, Kazuhide Fukushima, Takashi Nishide


We propose how to homomorphically evaluate arbitrary univariate and bivariate integer functions such as division. A prior work proposed by Okada et al. (WISTP’18) uses polynomial evaluations such that the scheme is still compatible with the SIMD operations in BFV and BGV, and is implemented with the input domain size \mathbb{Z}_{257}. However, the scheme of Okada et al. requires the quadratic number of plaintext-ciphertext multiplications and ciphertext-ciphertext additions in the input domain size, and although these operations are more lightweight than the ciphertext-ciphertext multiplication, the quadratic complexity makes handling larger inputs quite inefficient. In this work, first we improve the prior work and also propose a new approach that exploits the packing method to handle the larger input domain size instead of enabling the SIMD operation, thus making it possible to work with the larger input domain size, e.g., \mathbb{Z}_{2^{15}} in a reasonably efficient way. In addition, we show how to slightly extend the input domain size to \mathbb{Z}_{2^{16}} with a relatively moderate overhead. Further we show another approach to handling the larger input domain size by using two ciphertexts to encrypt one integer plaintext and applying our techniques for uni/bivariate function evaluation. We implement the prior work of Okada et al., our improved scheme of Okada et al., and our new scheme in PALISADE with the input domain size \mathbb{Z}_{2^{15}}, and confirm that the estimated run-times of the prior work and our improved scheme of the prior work are still about 117 days and 59 days respectively while our new scheme can be computed in 307 seconds.

ePrint: https://eprint.iacr.org/2023/366

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