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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...

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Detalles Bibliográficos
Autores principales: Khan, Sarwar, Chen, Jun-Cheng, Liao, Wen-Hung, Chen, Chu-Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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