3 accepted papers
Synthetic Aperture Radar (SAR) is a powerful tool for ground target detection, but SAR images often suffer from coherent speckle noise, which complicates automatic target recognition (ATR). Recent advances in deep learning have shown promise in SAR-ATR, yet there is a notable gap in addressing adver…
Despite significant advances in Deep Neural Networks (DNNs) for Neural Modulation Recognition (NMR) in wireless communications, recent research highlights their vulnerability to adversarial attacks. However, in practical wireless communication scenarios, adversarial signals transmitted by attackers…
Effective adversary generation for neural machine translation (NMT) is a crucial prerequisite for building robust machine translation systems. In this work, we investigate veritable evaluations of NMT adversarial attacks, and propose a novel method to craft NMT adversarial examples. We first show th…