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 …

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

With the popularization of deep learning models in wireless sensing, researchers have
made considerable efforts to construct sophisticated models to improve the accuracy of …

Behavior recognition plays an essential role in numerous behavior-driven applications (eg,
virtual reality and smart home) and even in the security-critical applications (eg, security …

Automatic modulation classification (AMC) has been envisioned as a significant element for
security issues at the physical layer due to its indispensable role in accurate …

Object detection Through-the-Walls enables localization and identification of hidden objects
behind the walls. While numerous studies have exploited Channel State Information of …

Deep learning technologies are pivotal in enhancing the performance of WiFi-based
wireless sensing systems. However, they are inherently vulnerable to adversarial …

Human activity recognition (HAR) is an important and growing research area with a wide
range of applications, including healthcare, security, and sports. In this study, we classify the …

Millimeter wave (mmWave) communications and massive MIMO play crucial roles in the
development of future wireless systems. In addition to offering high data rates, these …

Gait recognition based on millimeter waves (mmWave) can recognize people's identity
information by sensing their walking posture, which has found versatile usages in many …