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Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks
[article]
2022
arXiv
pre-print
Automatic modulation classification (AMC) using the Deep Neural Network (DNN) approach outperforms the traditional classification techniques, even in the presence of challenging wireless channel environments. However, the adversarial attacks cause the loss of accuracy for the DNN-based AMC by injecting a well-designed perturbation to the wireless channels. In this paper, we propose a novel generative adversarial network (GAN)-based countermeasure approach to safeguard the DNN-based AMC systems
arXiv:2205.15743v1
fatcat:uv5mebrttrcm5btb6twt7b23fu