Novel Preprocessors for Convolution Neural Networks

Novel Preprocessors for Convolution Neural Networks

Fooling neural networks is a main concern in the process of Artificial Intelligence optimization. Character perturbation make part of a text unnoticeable for some systems, even for human observers. This research focuses the probe on a novel input preprocessing technique, which applies with the Convo...

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Bibliographic Details
Main Authors: Ziad Doughan, Rola Kassem, Ahmad M. El-Hajj, Ali M. Haidar
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Artificial neural networks
logic-based intelligence
pattern recognition
preprocessor
weightless neural networks
Online Access:https://ieeexplore.ieee.org/document/9745116/

Internet

https://ieeexplore.ieee.org/document/9745116/

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