Increasing security of neural networks by discretizing neural network inputs
US11354574B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2020 |
| Grant date | Jun 7, 2022 |
| Priority date | — |
| Expiry date | Apr 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/094
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for increasing the security of neural network by discretizing neural network inputs. One of the methods includes receiving a network input for a neural network; processing the network input using a discretization layer, wherein the discretization layer is configured to generate a discretized network input comprising a respective discretized vector for each of the numeric values in the network input; and processing the discretized network input using the plurality of additional neural network layers to generate a network output for the network input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.