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METHOD FOR LEARNING AND TESTING USER LEARNING NETWORK TO BE USED FOR RECOGNIZING OBFUSCATED DATA CREATED BY CONCEALING ORIGINAL DATA TO PROTECT PERSONAL INFORMATION AND LEARNING DEVICE AND TESTING DEVICE USING THE SAME
METHOD FOR LEARNING AND TESTING USER LEARNING NETWORK TO BE USED FOR RECOGNIZING OBFUSCATED DATA CREATED BY CONCEALING ORIGINAL DATA TO PROTECT PERSONAL INFORMATION AND LEARNING DEVICE AND TESTING DEVICE USING THE SAME
A method for learning a user learning network to recognize obfuscated data created by concealing original data is provided. The method includes steps of: a 2-nd learning device, (a) on condition that a 1-st learning device has performed (i) instructing the obfuscation network to generate obfuscated training data, (ii) inputting (ii-1) the obfuscated training data into, to generate 1-st characteristic information for training, and (ii-2) the training data, to generate 2-nd characteristic information for training, into a learning network for training and (iii) learning the obfuscation network, and acquiring (i) the obfuscated training data and a training data GT, or (ii) obfuscated test data and a test data GT; (b) inputting (i) the obfuscated training data, to generate 3-rd characteristic information for training, or (ii) the obfuscated test data, to generate 4-th characteristic information for training, into the user learning network; and (c) learning the user learning network.
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