| 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 |
| 2024 | SEC | Cross-Validation for Detecting Label Poisoning Attacks: A Study on Random Forest Algorithm. | Tharindu Lakshan Yasarathna, Lankeshwara Munasinghe, Harsha Kalutarage, Nhien-An Le-Khac |
| 2023 | ESORICS | Mitigating Gradient Inversion Attacks in Federated Learning with Frequency Transformation. | Chamath Palihawadana, Nirmalie Wiratunga, Harsha Kalutarage, Anjana Wijekoon |
| 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 |