Nayan Moni Baishya

Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers

2024 · arXiv (Cornell University)

Data-driven deep learning (DL) techniques developed for automatic modulation classification (AMC) of wireless signals are vulnerable to adversarial attacks. This poses a severe security threat to the DL-based wireless systems, specifically for edge applications of …