Gan Zheng

A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification

2021 · 2021 IEEE Global Communications Conference (GLOBECOM)

Advantages of deep learning over traditional methods have been demonstrated for radio signal classification in the recent years. However, various researchers have discovered that even a small but intentional feature perturbation known as adversarial examples …

A Countermeasure Against Adversarial Attacks on Power Allocation in a Massive MIMO Network

2022

Deep learning has been emerging as a powerful design tool for the current and future generations of wireless networks. Among many other successful applications, deep learning has been shown to reduce computational complexity in power …

Vision Transformer With Adversarial Indicator Token Against Adversarial Attacks in Radio Signal Classifications

2025 · IEEE Internet of Things Journal

The remarkable success of transformers across various fields such as natural language processing and computer vision has paved the way for their applications in automatic modulation classification, a critical component in the communication systems of …