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Homomorphic Secret Sharing for Low Degree Polynomials
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Conference: | ASIACRYPT 2018 |
Abstract: | Homomorphic secret sharing (HSS) allows n clients to secret-share data to m servers, who can then homomorphically evaluate public functions over the shares. A natural application is outsourced computation over private data. In this work, we present the first plain-model homomorphic secret sharing scheme that supports the evaluation of polynomials with degree higher than 2. Our construction relies on any degree-k (multi-key) homomorphic encryption scheme and can evaluate degree-$$\left( (k+1)m -1 \right) $$ polynomials, for any polynomial number of inputs n and any sub-logarithmic (in the security parameter) number of servers m. At the heart of our work is a series of combinatorial arguments on how a polynomial can be split into several low-degree polynomials over the shares of the inputs, which we believe is of independent interest. |
BibTeX
@inproceedings{asiacrypt-2018-29192, title={Homomorphic Secret Sharing for Low Degree Polynomials}, booktitle={Advances in Cryptology – ASIACRYPT 2018}, series={Lecture Notes in Computer Science}, publisher={Springer}, volume={11274}, pages={279-309}, doi={10.1007/978-3-030-03332-3_11}, author={Russell W. F. Lai and Giulio Malavolta and Dominique Schröder}, year=2018 }