Patent · US Active

Method for training and testing adaption network corresponding to obfuscation network capable of processing data to be concealed for privacy, and training device and testing device using the same

US10621379B1 · kind B1 · utility

11Cited by
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22Claims
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Assignee

Inventor

Key dates

Filing dateOct 24, 2019
Grant dateApr 14, 2020
Priority date
Expiry dateOct 24, 2039

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06V40/174
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method for learning an adaption network corresponding to an obfuscation network used for concealing original data is provided. The method includes steps of: (a) on condition that a 1-st learning device has performed or is performing processes of (i) instructing the obfuscation network to obfuscate the training data to generate obfuscated training data, (ii) inputting the obfuscated training data into a learning network to generate 1-st characteristic information for training and inputting the training data into the learning network to generate 2-nd characteristic information for training, and (iii) learning the obfuscation network, a 2-nd learning device performing one of inputting the training data into the adaption network to generate 1-st feature adapted data and inputting test data into the adaption network to generate 2-nd feature adapted data and one of (i) acquiring a 1-st adaption ground truth and learning the adaption network and (ii) learning the adaption network.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.