Abstract: Provided is a process including: obtaining, with a computer system, with a stochastic layer of a multi-layer neural network, inputs to the stochastic layer from, wherein the multi-layer neural network comprises both deterministic layers and the stochastic layer, and the stochastic layer comprises a plurality of parameters that vary stochastically according to respective probability distributions; determining values of the plurality of parameters by randomly sampling from the statistical distributions; determining an output of the stochastic layer based on both the determined values of the plurality of parameters and the inputs to the stochastic layer; and providing the output of the stochastic layer to a downstream layer of the multi-layer neural network or as an output of the multi-layer neural network.

Abstract: Provided are methods and system for obtaining, by a computer system, a machine learning/machine learning model; obtaining, by the computer system, a training data set; training, with the computer system, an obfuscation transform based on the machine learning/machine learning model and the training data set; and storing, with the computer system, the obfuscation transform in memory.