A Framework for Constructing Fast MPC over Arithmetic Circuits with Malicious Adversaries and an Honest-Majority

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Secure Evaluation of Quantized Neural Networks (2019, methodology): “• PsReplicated2k : This protocol by Eerikson et al. [21] is an extension of the one by Lindell et al. [46] to the ring setting.”
Generalizing the SPDZ Compiler For Other Protocols (2018, methodology): “The multiplication was changed, but so was scalar addition since in the SPDZ protocol each party carries out the same operation locally, whereas different parties act differently for scalar addition in the replicated secretsharing protocol version of [24].”
SecureNN: 3-Party Secure Computation for Neural Network Training (2019, background): “Secure multi-party computation (MPC) [8, 17, 25, 40] and specifically 3-party computation [6, 9, 10, 14, 18, 23, 28, 32] provide a generic solution for the above problem.”