Automatic modulation classification (AMC) technology plays a vital role in the sixth
generation mobile system (6G). However, deep learning (DL) based AMC models possess …

Recently, a number of neural network approaches to physical-layer wireless security have
been introduced. In particular, these approaches are able to authenticate the identity of …

Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …

Automatic modulation recognition (AMR) of radio signal is an important research topic in the
area of non-cooperative communication and cognitive radio. Recently deep learning (DL) …

Artificial intelligence, and specifically deep neural networks (DNNs), has rapidly emerged in
the past decade as the standard for several tasks from specific advertising to object …

Adversarial attack strategies have been widely studied in machine learning applications,
and now are increasingly attracting interest in wireless communications as the application of …

Internet of Things (IoT) based on cognitive radio (CR) exhibits strong dynamic sensing and
intelligent decision-making capabilities by effectively utilizing spectrum resources. The …

Existing communication systems exhibit inherent limitations in translating theory to practice
when handling the complexity of optimization for emerging wireless applications with high …

At present, many people pay attention to the safety problems of artificial intelligence, and the
emergence of adversarial examples is one of these problems. The adversarial examples …

This article introduces adversarial attack, a recently-unveiled security threat to consumer
electronics, especially those utilizing machine learning techniques. We start with the …