… machine learning approaches in the wireless area; Section 3: we introduce and summarize
state-of-the-art attack on machine learning … -art adversarial machine learning over wireless …

… machine learning approaches in physical layer authentication models increased wireless
network … in using machine learning (ML) and deep learning (DL) approaches for PLA in …

… existing applications of Machine Learning in the communications … the traffic on the LTE
network Edge by utilizing such techniques as … We develop the corresponding Machine Learning …

… in the context of wireless communication networks [4], [6], [7]. Since our work focuses on
dynamic resource allocation strategies for computation offloading of machine learning tasks, in …

… networks, a plethora of research papers focus their attention on the quality aspects of wireless
… A number of recent estimators leverage Machine Learning (ML) techniques that require a …

… technological key enabler, Wireless Sensor Networks (WSNs) are … on state-of-the-art Machine
Learning (ML) and Blockchain (BC) … via Machine Learning (ML) and Blockchain (BC) [8]. …

… a wireless networks survey based on different machine learning algorithms and network …
Furthermore, we present learning algorithms and techniques for congestion, synchronisation…

… on Wireless Security and Machine Learning (… in Wireless and Mobile Networks (ACM
WiSec). The goal was to bring together members of the ML, RFML, privacy, security, and wireless …

… (QoS) for a given network setup may help in solving … Machine Learning (ML) based QoS
estimator, based on convolutional neural networks, which estimates the QoS for a given network …

… Abstract—In this work, we propose a new framework for blind wireless network topology
inference and present a novel solution based on machine learning (ML) techniques. In particular…