A survey on XAI for beyond 5G security: technical aspects, use cases, challenges and research directions T Senevirathna, VH La, S Marchal, B Siniarski, M Liyanage, S Wang arXiv preprint arXiv:2204.12822, 2022 | 16 | 2022 |
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks T Senevirathna, B Thennakoon, T Sankalpa, C Seneviratne, S Ali, ... IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM), 2021 | 9 | 2021 |
From opacity to clarity: Leveraging xai for robust network traffic classification C Sandeepa, T Senevirathna, B Siniarski, MD Nguyen, L Vinh-Hoa, ... | 3 | 2023 |
Comprehensive Analysis over Centralized and Federated Learning-based Anomaly Detection in Networks with Explainable AI (XAI) Y Rumesh, T Senevirathna, P Porambage, M Liyanage, M Ylianttila | 2* | |
EO/IR based Ship Detection using Machine Learning C Seneviratne, T Senevirathna, I Tennakoon, O Dissanayake, ... University of Ruhuna, Matara, Sri Lanka, 2022 | | 2022 |
Deceiving Post-hoc Explainable AI (XAI) Methods in Network Intrusion Detection T Senevirathna, B Siniarski, M Liyanage, S Wang | | |