System and method for reasoning about the diversity and robustness of an ensemble of classifiers
US12353994B2 · kind B2 · utility
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Key dates
| Filing date | Jan 26, 2021 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Jan 8, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One embodiment provides a system which facilitates reasoning about classifiers. During operation, the system determines a plurality of neural networks. The system derives, from a respective neural network, a linear model, wherein the linear model is constructed based on an output of a penultimate layer of the respective neural network. The system trains the linear model based on activations of the penultimate layer. The system maps parameters of the trained linear model into a version space.
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