Shubin Wang

FA-GAN: Defense Against Adversarial Attacks in Automatic Modulation Recognition

Deep neural networks (DNNs) offer intelligent solutions for communications’ automatic modulation recognition (AMR) tasks. However, DNNs are vulnerable to adversarial attacks, which can lead to incorrect predictions. To address this critical challenge, this paper proposes a feature-alignment generati…