Restorable Trojan Packet: a practical neural backdoor attack against network traffic classifiers
Abstract Deep learning (DL) has found extensive applications in network traffic classification. To ensure the trustworthiness of these DL-based classifiers in real-world deployments, it is imperative to examine their susceptibility to attacks targeting AI models, similar to those encountered in othe...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-04-01
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| coleção: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44443-026-00780-w |
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