Machine Learning in NextG Networks via Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2022.3153004
Abstract: Generative Adversarial Networks (GANs) are Machine Learning (ML) algorithms that have the ability to address competitive resource allocation problems together with detection and mitigation of anomalous behavior. In this paper, we investigate their use in… read more here.
Keywords: machine learning; adversarial networks; learning nextg; generative adversarial ... See more keywords
Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24081047
Abstract: 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 transmitter that transmits to its receiver in the presence… read more here.
Keywords: adversarial perturbation; machine learning; learning nextg; adversarial machine ... See more keywords