Method for preventing breach of original data for deep learning and data breach preventing device using them
US10956598B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 24, 2020 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Apr 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F21/1063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for preventing breach of original data for deep learning is provided. The method includes steps of: a data breach preventing device (a) adding noise onto the acquired original data to generate 1-st noisy data; and (b)(b1) while increasing an integer k from 1 to an integer larger than 0, (i) inputting k-th noisy data into a learning network, to apply learning operations to the k-th noisy data using learned parameters of the learning network, and to output k-th characteristic information, and (ii) launching an adversarial attack on the k-th noisy data via backpropagation using at least one of (ii-1) (k_1)-st losses calculated using the k-th characteristic information and a 1-st ground truth, and (ii-2) (k_2)-nd losses calculated using (1) a k-th task specific output and (2) a 2-nd ground truth, and generating (k+1)-th noisy data, and (b2) as a result, generating n-th noisy data as watermarked data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.