Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization

Deep Neural Networks (DNNs) are vulnerable to adversarial examples, which are crafted by adding human-imperceptible perturbations to the benign inputs. Simultaneously, adversarial examples exhibit transferability across models, enabling practical black-box attacks. However, existing methods are stil...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Jiafeng, Chen, Zhaoyu, Jiang, Kaixun, Yang, Dingkang, Hong, Lingyi, Guo, Pinxue, Guo, Haijing, Zhang, Wenqiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Cryptography and Security
Online-Zugang:	Volltext bestellen
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