4 papers
Few-Shot Network Intrusion Detection Using Online Triplet Mining
Jack Wilkie, Hanan Hindy, Christos Tachtatzis +2
Network intrusion detection systems play a vital role in protecting networks by detecting malicious network traffic which can then be investigated by a cybersecurity operations cen…
Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs
Jack Wilkie, Hanan Hindy, Christos Tachtatzis +1
Network intrusion detection remains a critical challenge in cybersecurity. While supervised machine learning models achieve state-of-the-art performance, their reliance on large la…
On Models and Approaches for Human Vital Signs Extraction from Short Range Radar Signals
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
The paper centres on an assessment of the modelling approaches for the processing of signals in CW and FMCW radar-based systems for the detection of vital signs. It is shown that t…
Neural Knitworks: Patched Neural Implicit Representation Networks
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson +4
Coordinate-based Multilayer Perceptron (MLP) networks, despite being capable of learning neural implicit representations, are not performant for internal image synthesis applicatio…