Microsoft Technology Licensing, LLC

Nuance Communications, Inc.

Nasr Madi

Neil D Barrett

Kimia Baxter

Edgar Rodolfo Quispe Condori

Neal Everette Snider

Gordon J Lueck

Maxim Roy

A method, computer program product, and computing system for processing raw content to identify personal information; replacing the personal information within the raw content with a first mathematical representation of the personal information generated using a first hashing algorithm, thus defining deidentified content; and defining a selected surrogate for the first mathematical representation, wherein the selected surrogate has a second mathematical representation generated using a second hashing algorithm that is equivalent to the first mathematical representation of the personal information that was generated using the first hashing algorithm.

System and method for generating deidentified content

A neural network embodiment comprises an input layer, an output layer and a filter layer. Each unit of the filter layer receives a filter layer input from a single preceding unit via a respective filter layer input connection. Each filter layer input connection is coupled to a different single preceding unit. The filter layer incentivizes the neural network to learn to produce a target output from the output layer for a given input to the input layer while simultaneously learning weights for each filter layer input connection. The weights learned cause the filter layer to reduce a number of filter layer units that pass respective filter layer inputs as non-zero values. When applied as an initial internal layer between an input layer and an output layer, the filter layer incentivizes the neural network to learn which neural network input features to discard to produce the target output.

Neural network with embedded filter layer

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Montreal, Canada

Nasr Madi