DASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples

Fuente: arXiv

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Bibliographic Details
Main Authors:	Nafi, Abdullah Al Nomaan, Rahaman, Habibur, Haider, Zafaryab, Mahfuz, Tanzim, Suya, Fnu, Bhunia, Swarup, Chakraborty, Prabuddha
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2508.13309