Adversarial detection by approximation of ensemble boundary

Despite being effective in many application areas, Deep Neural Networks (DNNs) are vulnerable to being attacked. In object recognition, the attack takes the form of a small perturbation added to an image, that causes the DNN to misclassify, but to a human appears no different. Adversarial attacks le...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 622; s. 129364
Hlavný autor:	Windeatt, Terry
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 14.03.2025
Predmet:	Adversarial robustness Boolean functions Deep neural networks Ensemble Machine learning Security Boolean functions Adversarial robustness Deep neural networks Security Ensemble Machine learning
ISSN:	0925-2312
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