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 …

The Internet of Things (IoT) has continued gaining in popularity and importance in everyday
life in recent years. However, this development does not only present advantages. Indeed …

Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

This paper presents channel-aware adversarial attacks against deep learning-based
wireless signal classifiers. There is a transmitter that transmits signals with different …

The spoofing attack is critical to bypass physical-layer signal authentication. This paper
presents a deep learning-based spoofing attack to generate synthetic wireless signals that …

Machine learning provides automated means to capture complex dynamics of wireless
spectrum and support better understanding of spectrum resources and their efficient …

We present a Trojan (backdoor or trapdoor) attack that targets deep learning applications in
wireless communications. A deep learning classifier is considered to classify wireless …

As Internet of Things (IoT) has emerged as the next logical stage of the Internet, it has
become imperative to understand the vulnerabilities of the IoT systems when supporting …

The cyber physical systems integrate the sensing, computation, control and networking
processes into physical objects and infrastructure, which are connected through the Internet …

Deep neural networks have empowered accurate device-free human activity recognition,
which has wide applications. Deep models can extract robust features from various sensors …