Detecting adversarial attacks through decoy training
US11501156B2 · kind B2 · utility
2Cited by
5References
20Claims
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Key dates
| Filing date | Jun 28, 2018 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | Sep 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Decoy data is generated from regular data. A deep neural network, which has been trained with the regular data, is trained with the decoy data. The trained deep neural network, responsive to a client request comprising input data, is operated on the input data. Post-processing is performed using at least an output of the operated trained deep neural network to determine whether the input data is regular data or decoy data. One or more actions are performed based on a result of the performed post-processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.