System and methods for detecting a copy of a deep neural network in a hearing device
US12417285B2 · kind B2 · utility
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26Claims
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Key dates
| Filing date | Jan 31, 2023 |
| Grant date | Sep 16, 2025 |
| Priority date | — |
| Expiry date | Sep 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and methods are presented for detecting an authentic copy of a deep neural network in a device without reverse engineering the device. For example, the device can be a hearing device. A method is presented that includes providing audio signals to a deep neural network located in a hearing device, receiving signals from the deep neural network that are triggered by the transmitted audio signals, and determining whether the received signals were the expected signals. Specifically, the system can determine that an unauthorized entity embedded an unauthorized copy of the deep neural network in a hearing device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.