BlackBerry Limited
AMBIGUATING AND DISAMBIGUATING DATA COLLECTED FOR MACHINE LEARNING

Abstract:

A method and privacy protection system for ambiguating and disambiguating data collected for machine learning. The method comprising receiving data from an endpoint, the data including identifying information for the endpoint and non-identifying information; obfuscating the identifying information in the received data to generate obfuscated data including the non-identifying information and obfuscated identifying information; transmitting the obfuscated data to one or more machine learning providers; receiving an actionable inference message based upon the non-identifying information in the obfuscated data from the one or more machine learning providers; resolving the obfuscated identifying information in the received actionable inference message to recover the identifying information; and transmitting the resolved actionable inference message to the endpoint associated with the identifying information. The privacy protection system comprising an endpoint, and obfuscator module, one or more machine learning modules, and a resolver module.