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Towards Adversarial Robustness for Multi-Mode Data through Metric Learning
Adversarial attacks have become one of the most serious security issues in widely used deep neural networks. Even though real-world datasets usually have large intra-variations or multiple modes, most adversarial defense methods, such as adversarial training, which is currently one of the most effec...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346491/ https://www.ncbi.nlm.nih.gov/pubmed/37448021 http://dx.doi.org/10.3390/s23136173 |