Mehrdeutigkeit und Eindeutigkeit der für das Maschinelle Lernen Gesammelten Daten

Details

Veröffentlichungs-Nr.

EP3971747

Aktenzeichen

EP21192671

Anmeldetag

23. August 2021

Veröffentlichung

23. März 2022

Rechtsraum

EP

IPC

G06F21/62G06F21/60G06F21/55G06F21/85H04W52/02H04L9/40H04L9/06H04L9/08G06N20/00G06F11/30G06N3/044G06N3/045G06N3/08G06N3/084G06N3/088G06N5/01G06N7/01G06N20/10G06N20/20// H04W12/02

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.

Anmelder

Firma

BlackBerry Limited

Land

🇨🇦 Kanada

Fachgebiete