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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...
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| Wydane w: | EURASIP J Inf Secur |
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| Główni autorzy: | , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer International Publishing
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7357678/ https://ncbi.nlm.nih.gov/pubmed/32685910 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13635-020-00106-x |
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