Detection defense against adversarial attacks with saliency map

It is well established that neural networks are vulnerable to adversarial examples, which are almost imperceptible on human vision and can cause the deep models misbehave. Such phenomenon may lead to severely inestimable consequences in the safety and security critical applications. Existing defense...

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Bibliographische Detailangaben

Veröffentlicht in:	International journal of intelligent systems 2022-12, Vol.37 (12), p.10193-10210
Hauptverfasser:	Ye, Dengpan, Chen, Chuanxi, Liu, Changrui, Wang, Hao, Jiang, Shunzhi
Format:	Artikel
Sprache:	eng
Schlagworte:	adversarial defense adversarial example deep neural network Intelligent systems machine learning Neural networks Salience saliency map
Online-Zugang:	Volltext
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