Systems and methods for providing a systemic error in artificial intelligence algorithms
US11973743B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2022 |
| Grant date | Apr 30, 2024 |
| Priority date | — |
| Expiry date | Dec 12, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a process for testing a suspect model to determine whether it was derived from a source model. An example method includes receiving, from a model owner node, a source model and a fingerprint associated with the source model, receiving a suspect model at a service node, based on a request to test the suspect model, applying the fingerprint to the suspect model to generate an output and, when the output has an accuracy that is equal to or greater than a threshold, determining that the suspect model is derived from the source model. Imperceptible noise can be used to generate the fingerprint which can cause predictable outputs from the source model and a potential derivative thereof.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.