| 2024 | ESORICS | Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection. | Janaka Senanayake, Harsha Kalutarage, Luca Piras, Mhd Omar Al-Kadri, Andrei Petrovski |
| 2023 | DBSEC | Android Code Vulnerabilities Early Detection Using AI-Powered ACVED Plugin. | Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei Petrovski, Luca Piras |
| 2023 | ESORICS | Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis. | Sampath Rajapaksha, Janaka Senanayake, Harsha Kalutarage, M. Omar Al-Kadri |
| 2023 | ESORICS | FedREVAN: Real-time DEtection of Vulnerable Android Source Code Through Federated Neural Network with XAI. | Janaka Senanayake, Harsha Kalutarage, Andrei Petrovski, M. Omar Al-Kadri, Luca Piras |
| 2023 | SEC | MADONNA: Browser-Based MAlicious Domain Detection Through Optimized Neural Network with Feature Analysis. | Janaka Senanayake, Sampath Rajapaksha, Naoto Yanai, Chika Komiya, Harsha Kalutarage |
| 2023 | SECRYPT | Labelled Vulnerability Dataset on Android Source Code (LVDAndro) to Develop AI-Based Code Vulnerability Detection Models. | Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Luca Piras, Andrei Petrovski |
| 2022 | AsiaCCS | Developing Secured Android Applications by Mitigating Code Vulnerabilities with Machine Learning. | Janaka Senanayake, Harsha K. Kalutarage, M. Omar Al-Kadri, Andrei V. Petrovski, Luca Piras |