Anti-piracy framework for deep neural networks
US11687623B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2019 |
| Grant date | Jun 27, 2023 |
| Priority date | — |
| Expiry date | Jun 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, apparatuses, and computer program products for providing an anti-piracy framework for Deep Neural Networks (DNN). A method may include receiving authorized raw input at a protective transform module. The method may also include receiving unauthorized raw input at a restrictive deep neural network. The method may further include processing the authorized raw input at the protective transform module to generate a processed input. In addition, the method may include feeding the processed input into the restrictive deep neural network. The method may also include generating a result based on the processed input and the unauthorized raw input. Further, the result may include a different learning performance between the authorized raw input and the unauthorized raw input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.