METHOD FOR TRAINING AND TESTING USER LEARNING NETWORK TO BE USED FOR RECOGNIZING OBFUSCATED DATA CREATED BY OBFUSCATING ORIGINAL DATA TO PROTECT PERSONAL INFORMATION AND USER LEARNING DEVICE AND TESTING DEVICE USING THE SAME

摘要

A method for training a user learning network for recognizing obfuscated data is provided. The method includes steps of: a learning device (a) (i) inputting obfuscated data, from a data provider, into a user learning network to generate first characteristic information and (ii) updating parameters of a user task layer and a first user batch normalizing layer such that an error, calculated using (1) the first characteristic information or a first task specific output and (2) a first ground truth of the obfuscated data, is minimized, and (b) (i) inputting original data, from a user, into the user learning network to generate second characteristic information and (ii) updating parameters of the user task layer and the second user batch normalizing layer such that an error, calculated using (1) the second characteristic information or a second task specific output and (2) a second ground truth of the original data, is minimized.