System and method for machine learning architecture with adversarial attack defense
US11520899B2 · kind B2 · utility
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Key dates
| Filing date | May 17, 2019 |
| Grant date | Dec 6, 2022 |
| Priority date | — |
| Expiry date | Oct 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A platform for training deep neural networks using push-to-corner preprocessing and adversarial training. A training engine adds a preprocessing layer before the input data is fed into a deep neural network at the input layer, for pushing the input data further to the corner of its domain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.