Knowledge-infused and Explainable Malware Forensics
Despite considerable progress in malicious software forensics, the challenge of accurate attribution, formulation of appropriate response and mitigation strategies, and ensuring the interpretability of deep learning methods persists. While being less flexible and robust to noise compared to deep lea...
Guardado en:
| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
LibraryPress@UF
2024-05-01
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| Colección: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Materias: | |
| Acceso en línea: | https://journals.flvc.org/FLAIRS/article/view/135565 |
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