Ambiguating and disambiguating data collected for machine learning

A privacy protection system for ambiguating and disambiguating data collected for machine learning comprising:

• an endpoint for transmitting data, the data including identifying information for the endpoint and non-identifying information;
• an obfuscator module for obfuscating the identifying information in the data to generate obfuscated data including the non-identifying information and obfuscated identifying information;
• one or more machine learning modules for receiving the obfuscated data and transmitting an actionable inference message based upon the non-identifying information in the obfuscated data;
• and
• a resolver module for resolving the obfuscated identifying information in the actionable inference message and transmitting the resolved actionable inference message to the endpoint associated with the identifying information.

A non-transitory computer-readable storage medium storing processor-executable instructions for ambiguating and disambiguating data collected for machine learning, wherein the processor-executable instructions, when executed by a processor, cause the processor to:

• receive data from an endpoint, the data including identifying information for the endpoint and non-identifying information;
• obfuscate the identifying information in the received data to generate obfuscated data including the non-identifying information and obfuscated identifying information;
• transmit the obfuscated data to one or more machine learning processes;
• receive an actionable inference message based upon the non-identifying information in the obfuscated data from the one or more machine learning processes;
• resolve the obfuscated identifying information in the received actionable inference message to recover the identifying information;
• and
• transmit the actionable inference message to the endpoint associated with the identifying information.