Method for training obfuscation network which conceals original data to be used for machine learning and training surrogate network which uses obfuscated data generated by obfuscation network and method for testing trained obfuscation network and learning device and testing device using the same
US11017319B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 23, 2020 |
| Grant date | May 25, 2021 |
| Priority date | — |
| Expiry date | Jun 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training an obfuscation network and a surrogate network is provided. The method includes steps of: a 1st learning device (a) inputting original data of a 1st party, corresponding thereto, into the obfuscation network to generate obfuscated data wherein the 1st party owns the original data or is an entity to whom the original data is delegated; (b) transmitting the obfuscated data and the ground truth to a 2nd learning device corresponding to a 2nd party, and instructing the 2nd learning device to (i) input the obfuscated data into the surrogate network to generate characteristic information, (ii) calculate 1st losses using the ground truth and one of the characteristic information and task specific outputs, and (iii) train the surrogate network minimizing the 1st losses, and transmit the 1st losses to the 1st learning device; and (c) training the obfuscation network minimizing the 1st losses and maximizing 2nd losses.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.