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Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation
In recent years, classification techniques based on deep neural networks (DNN) were widely used in many fields such as computer vision, natural language processing, and self-driving cars. However, the vulnerability of the DNN-based classification systems to adversarial attacks questions their usage...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357678/ https://www.ncbi.nlm.nih.gov/pubmed/32685910 http://dx.doi.org/10.1186/s13635-020-00106-x |