Distributed Generative Adversarial Networks for Anomaly Detection. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (GameSec, 2020)

Privacy-Preserving Collaborative SDR Networks for Anomaly Detection. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (ICC, 2021)

Designing Neural Networks for Real-Time Systems. - Hammond A. Pearce; Xin Yang; Partha S. Roop; Marc Katzef; Tórur Biskopstø Strøm (IEEE Embed. Syst. Lett., 2021)

Wireless Network Simulation to Create Machine Learning Benchmark Data. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (GLOBECOM, 2022)

Generative Adversarial Networks for anomaly detection on decentralised data. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie (Annu. Rev. Control., 2022)

Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie (ICC, 2023)

Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks. - Marc Katzef; Andrew C. Cullen; Tansu Alpcan; Christopher Leckie; Justin Kopacz (CoRR, 2023)

Distributed Failure-Tolerant Anomaly Detection in Cognitive Radio Networks. - Marc Katzef (2023)