| XG-BoT: An explainable deep graph neural network for botnet detection and forensics WW Lo, G Kulatilleke, M Sarhan, S Layeghy, M Portmann Internet of Things 22, 100747, 2023 | 25 | 2023 |
| Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin WW Lo, GK Kulatilleke, M Sarhan, S Layeghy, M Portmann Applied Intelligence 53 (16), 19406-19417, 2023 | 15 | 2023 |
| SCGC: Self-supervised contrastive graph clustering GK Kulatilleke, M Portmann, SS Chandra arXiv preprint arXiv:2204.12656, 2022 | 13 | 2022 |
| Challenges and complexities in machine learning based credit card fraud detection GK Kulatilleke arXiv preprint arXiv:2208.10943, 2022 | 12 | 2022 |
| Breaking bad systems with Human Factors and Ergonomics: Using Work Domain Analysis to identify strategies to disrupt trading in dark net marketplaces PM Salmon, BR Lane, D Desmond, A Cherney, G Kulatilleke, A Matthews, ... Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63 (1 …, 2019 | 9 | 2019 |
| Fdgatii: fast dynamic graph attention with initial residual and identity mapping GK Kulatilleke, M Portmann, R Ko, SS Chandra arXiv preprint arXiv:2110.11464, 2021 | 7 | 2021 |
| Flowtransformer: A transformer framework for flow-based network intrusion detection systems LD Manocchio, S Layeghy, WW Lo, GK Kulatilleke, M Sarhan, ... Expert Systems with Applications 241, 122564, 2024 | 5 | 2024 |
| Efficient block contrastive learning via parameter-free meta-node approximation GK Kulatilleke, M Portmann, SS Chandra Neurocomputing 561, 126850, 2023 | 2 | 2023 |
| Doc-nad: A hybrid deep one-class classifier for network anomaly detection M Sarhan, G Kulatilleke, WW Lo, S Layeghy, M Portmann 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 2 | 2023 |
| Credit card fraud detection-classifier selection strategy GK Kulatilleke arXiv preprint arXiv:2208.11900, 2022 | 2 | 2022 |
| Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data GK Kulatilleke, S Samarakoon arXiv preprint arXiv:2208.11904, 2022 | 2 | 2022 |
| NBC-Softmax: Darkweb Author fingerprinting and migration tracking GK Kulatilleke, SS Chandra, M Portmann arXiv preprint arXiv:2212.08184, 2022 | 1 | 2022 |
| HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventions B Lane, P Salmon, D Desmond, A Cherney, G Kulatilleke, NA Stanton Proceedings of the 54th Annual Conference of the Human Factors and …, 2019 | 1 | 2019 |
| Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification N Naranpanawa, HP Soyer, A Mothershaw, GK Kulatilleke, Z Ge, ... arXiv preprint arXiv:2309.09689, 2023 | | 2023 |
| Towards Efficient Graph Neural Networks for Optimizing Illicit Dark Web Interventions G Kulatilleke PhD Thesis, 2023 | | 2023 |
| FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems L Daly Manocchio, S Layeghy, W Weng Lo, GK Kulatilleke, M Sarhan, ... arXiv e-prints, arXiv: 2304.14746, 2023 | | 2023 |
| FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity GK Kulatilleke, M Portmann, R Ko, SS Chandra Australasian Joint Conference on Artificial Intelligence, 73-86, 2022 | | 2022 |
| XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics W Weng Lo, GK Kulatilleke, M Sarhan, S Layeghy, M Portmann arXiv e-prints, arXiv: 2207.09088, 2022 | | 2022 |
| Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin W Weng Lo, GK Kulatilleke, M Sarhan, S Layeghy, M Portmann arXiv e-prints, arXiv: 2203.10465, 2022 | | 2022 |
| Development of Standards for Local Language Support for Text Messaging within the GSM Specification GK Kulatilleke, SAD Dias Proceedings of the 7th International Information Technology Conference IITC …, 2005 | | 2005 |
