Abstract: This describes a privacy preserving machine learning platform. In one aspect, a method includes receiving, by a first computing system of multiple multi-party computation (MPC) systems, an inference request including a first share of a given user profile. A predicted label for the given user profile is determined based at least in part on a first machine learning model. A predicted residue value for the given user profile indicating a predicted error in the predicted label is determined. The first computing system determines the first share of the predicted residue value for the given user profile based at least in part on the first share of the given user profile and a second machine learning model. The first computing system receives, from a second computing system of the MPC computing systems, data indicating the second share of the predicted residue value for the given user profile.