Rumesh, Y., Senevirathna, T. T., Porambage, P., Liyanage, M., & Ylianttila, M. (2023). Comprehensive Analysis Over Centralized and Federated Learning-Based Anomaly Detection in Networks with Explainable AI (XAI). In (pp. 4853–4859). http://doi.org/10.1109/ICC45041.2023.10278845 (Original work published 2025)

Gur, G., Porambage, P., Osorio, D. M., Yavuz, A. A., & Liyanage, M. (2023). 6G Security Vision - A Concise Update. In (pp. 1–7). http://doi.org/10.1109/FNWF58287.2023.10520627 (Original work published 2025)

Senevirathna, T., Siniarski, B., Liyanage, M., & Wang, S. (2024). Deceiving Post-Hoc Explainable AI (XAI) Methods in Network Intrusion Detection. In (pp. 107–112). http://doi.org/10.1109/CCNC51664.2024.10454633 (Original work published 2025)

Gur, G., Porambage, P., Osorio, D. M., Yavuz, A. A., & Liyanage, M. (2023). 6G Security Vision - A Concise Update. In (pp. 1–7). http://doi.org/10.1109/FNWF58287.2023.10520627 (Original work published 2025)

Senevirathna, T., Siniarski, B., Liyanage, M., & Wang, S. (2024). Deceiving Post-Hoc Explainable AI (XAI) Methods in Network Intrusion Detection. In (p. 107—112). http://doi.org/10.1109/CCNC51664.2024.10454633 (Original work published 2025)

Senevirathna, T., Siniarski, B., Liyanage, M., & Wang, S. (2024). Deceiving Post-Hoc Explainable AI (XAI) Methods in Network Intrusion Detection. In (p. 107—112). http://doi.org/10.1109/CCNC51664.2024.10454633 (Original work published 2025)

Siriwardhana, Y., Porambage, P., Liyanage, M., & Ylianttila, M. (2022). Robust and Resilient Federated Learning for Securing Future Networks. In 2022 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit) (p. 351—356).