Channel estimation is a crucial step in wireless communications. The estimator identifies the
wireless channel distortions during the signal propagation and this information is further …

Low-Power Wide-Area Network (LPWAN) technologies, such as LoRa, have gained
significant attention for their ability to enable long-range, low-power communication for …

As the applications of deep reinforcement learning (DRL) in wireless communications grow,
sensitivity of DRL based wireless communication strategies against adversarial attacks has …

This paper studies the privacy of wireless communications from an eavesdropper that
employs a deep learning (DL) classifier to detect transmissions of interest. There exists one …

Deep reinforcement learning (DRL) has recently been used to perform efficient resource
allocation in wireless communications. In this paper, the vulnerabilities of such DRL agents …

This letter investigates a jamming problem in the confrontation scenario when both the
opposites are intelligent. Most existing studies assumed the learning-based jammer could …

This paper studies how to launch an attack on reinforcement learning for network slicing in
NextG radio access network (RAN). An adversarial machine learning approach is pursued to …

This paper presents a game-theoretic framework to study the interactions of attack and
defense for deep learning-based NextG signal classification. NextG systems such as the one …

As the applications of deep reinforcement learning (DRL) in wireless communications grow,
sensitivity of DRL-based wireless communication strategies against adversarial attacks has …

Decentralized federated learning (DFL) is an ef-fective approach to train a deep learning
model at multiple nodes over a multi-hop network, without the need of a server having direct …