An Xception Convolutional Neural Network for Malware Classification with Transfer Learning. - Wai Weng Lo; Xu Yang 010; Yapeng Wang (NTMS, 2019)

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marcus Gallagher; Marius Portmann (CoRR, 2021)

Graph Neural Network-based Android Malware Classification with Jumping Knowledge. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marcus Gallagher; Marius Portmann (DSC, 2022)

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marcus Gallagher; Marius Portmann (NOMS, 2022)

HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection. - Mohanad Sarhan; Wai Weng Lo; Siamak Layeghy; Marius Portmann (Comput. Electr. Eng., 2022)

Inspection-L: Practical GNN-Based Money Laundering Detection System for Bitcoin. - Wai Weng Lo; Siamak Layeghy; Marius Portmann (CoRR, 2022)

XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. - Wai Weng Lo; Siamak Layeghy; Mohanad Sarhan; Marius Portmann (CoRR, 2022)

Anomal-E: A self-supervised network intrusion detection system based on graph neural networks. - Evan Caville; Wai Weng Lo; Siamak Layeghy; Marius Portmann (Knowl. Based Syst., 2022)

DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. - Mohanad Sarhan; Gayan K. Kulatilleke; Wai Weng Lo; Siamak Layeghy; Marius Portmann (CCGridW, 2023)

XG-BoT: An explainable deep graph neural network for botnet detection and forensics. - Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Internet Things, 2023)

Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. - Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Siamak Layeghy; Marius Portmann (Appl. Intell., 2023)

FlowTransformer: A transformer framework for flow-based network intrusion detection systems. - Liam Daly Manocchio; Siamak Layeghy; Wai Weng Lo; Gayan K. Kulatilleke; Mohanad Sarhan; Marius Portmann (Expert Syst. Appl., 2024)