Abstract: Deep learning methods contain powerful tools for modelling nonlinear dynamic systems. However, whilst these models are useful for predicting outputs, they tend to be described by complicated ...

Abstract: We consider the problem of actively secure two-party machine-learning inference in the preprocessing model, where the parties obtain (input-independent) correlated randomness in an offline ...