Image content obfuscation using a neural network

A method for obfuscating image content comprising:

• receiving, at a remote classifier, a transformed object with a spatial arrangement of data that is different from a spatial pixel arrangement in an image used to generate the transformed object;
• processing the transformed object by the remote classifier residing in a remote computing system;
• generating a classification for the image using the remote classifier;
• and
• communicating the classification for the image to a local computing system that generated the transformed object.

A computer-storage media having computer-executable instructions embodied thereon that when executed by a computer processor causes a mobile computing device to perform a method of obfuscating image content comprising, the method comprising:

• training a local neural network;
• processing a training image with the local neural network to generate an array, the local neural network operating on a local computing system;
• shuffling the array to change a spatial arrangement of values within the array to generate a transformed object;
• communicating the transformed object and a label associated with the training image to a remote computing system;
• inputting the transformed object into a remote classifier to generate a classification of the training image;
• using the label and the classification to retrain the remote classifier to form a trained remote classifier;
• and
• storing the trained remote classifier in the remote computing system.