Xiaonan Zhang, an Assistant Professor in the FSU Department of Computer Science, has been awarded a new NSF grant titled “Collaborative Research: SaTC: CORE: Small: Achieving Adversarial Robustness in Next-Generation Deep Learning-based Wireless Systems”. This goal is to develop a framework that enhances the robustness of automatic modulation recognition under adversarial attacks in the next-generation wireless systems. The project’s novelty is a bottom-up design from a communication pair to the whole network on addressing the fundamental limitations of deep learning models in adversarial wireless environments. The project’s broader significance and importance are to improve the security of communication infrastructure that supports critical applications like autonomous transportation, industrial automation, and public safety. Additional contributions include the release of a large-scale wireless dataset for academic use, the integration of research outcomes into undergraduate and graduate curricula, and the engagement of students at all levels, including K-12, through interdisciplinary training and outreach activities. The project is a collaborative effort between Clemson University and FSU. The total funding size is 600K and FSU share is 200K.
