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Verifiable Encodings for Secure Homomorphic Analytics. (arXiv:2207.14071v1 [cs.CR])
July 29, 2022, 1:20 a.m. | Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Jean-Pierre Hubaux
cs.CR updates on arXiv.org arxiv.org
Homomorphic encryption, which enables the execution of arithmetic operations
directly on ciphertexts, is a promising solution for protecting privacy of
cloud-delegated computations on sensitive data. However, the correctness of the
computation result is not ensured. We propose two error detection encodings and
build authenticators that enable practical client-verification of cloud-based
homomorphic computations under different trade-offs and without compromising on
the features of the encryption algorithm. Our authenticators operate on top of
trending ring learning with errors based fully homomorphic encryption …
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