Data Augmentation and Graph Regularization for Adversarial Training
<p id="p1">This chapter explores innovative regularization strategies designed to enhance the resilience and accuracy of deep learning models against adversarial attacks, focusing particularly on graph-based methods. At the forefront is Graph Regularized Adversarial Training (GReAT), a pioneering ap...
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| Autores principales: | , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2024
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/1194417 |
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