Neural network watermarking
US12373520B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 1, 2020 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Sep 30, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Training a neural network and embedding a watermark in the network to prove ownership. The network includes a plurality of trainable parameters associated with network nodes in which the plurality of trainable parameters is split into a first set of trainable parameters and a second set of trainable parameters. A first set of training samples is input to the network and the network is trained by iterating the first set of samples through the network to update the first set of parameters and hindering the second set of parameters to be updated during iteration of the first set of samples. A second set of samples is input and the watermark is embedded by iterating the second set of samples through the network to update the second set of parameters and hindering the first set of parameters to be updated during iteration of the second set of samples.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.