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Instance attack: an explanation-based vulnerability analysis framework against DNNs for malware detection

Deep neural networks (DNNs) are increasingly being used in malware detection and their robustness has been widely discussed. Conventionally, the development of an adversarial example generation scheme for DNNs involves either detailed knowledge concerning the model (i.e., gradient-based methods) or...

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Principais autores: Ruijin Sun, Shize Guo, Changyou Xing, Yexin Duan, Luming Yang, Xi Guo, Zhisong Pan
Formato: Artigo
Idioma:Inglês
Publicado: PeerJ Inc. 2023-11-01
Series:PeerJ Computer Science
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Acceso en liña:https://peerj.com/articles/cs-1591.pdf
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