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2020 – today
- 2023
[c4]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie:
Robust Wireless Network Anomaly Detection with Collaborative Adversarial Autoencoders. ICC 2023: 6343-6348- [i2]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks. CoRR abs/2303.13015 (2023) - 2022
- [j2]Marc Katzef
, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie:
Generative Adversarial Networks for anomaly detection on decentralised data. Annu. Rev. Control. 53: 329-337 (2022) - [c3]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Wireless Network Simulation to Create Machine Learning Benchmark Data. GLOBECOM 2022: 6378-6383 - 2021
- [j1]Hammond A. Pearce, Xin Yang, Partha S. Roop, Marc Katzef, Tórur Biskopstø Strøm:
Designing Neural Networks for Real-Time Systems. IEEE Embed. Syst. Lett. 13(3): 94-97 (2021) - [c2]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Privacy-Preserving Collaborative SDR Networks for Anomaly Detection. ICC 2021: 1-6 - 2020
- [c1]Marc Katzef, Andrew C. Cullen, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Distributed Generative Adversarial Networks for Anomaly Detection. GameSec 2020: 3-22 - [i1]Hammond A. Pearce, Xin Yang, Partha S. Roop, Marc Katzef, Tórur Biskopstø Strøm:
Designing Neural Networks for Real-Time Systems. CoRR abs/2008.11830 (2020)
Coauthor Index
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