| 2025 | APSEC | Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia. | Wei Minn, Phong Phan, Vikas Kumar Malviya, Benjamin Adolphi, Yan Naing Tun, Henning Benzon Treichl, Albert Ching, Lwin Khin Shar, David Lo |
| 2025 | ICECCS | Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach. | Ivan Tan, Wei Minn, Christopher M. Poskitt, Lwin Khin Shar, Lingxiao Jiang |
| 2024 | ICSE | DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones. | Wei Minn, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang |
| 2022 | APSEC | DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning. | Lwin Khin Shar, Wei Minn, Ta Nguyen Binh Duong, Jiani Fan, Lingxiao Jiang, Daniel Lim Wai Kiat |
| 2020 | APSEC | SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps. | Lwin Khin Shar, Ta Nguyen Binh Duong, Lingxiao Jiang, David Lo, Wei Minn, Glenn Kiah Yong Yeo, Eugene Kim |
| 2020 | ICSE | Experimental comparison of features and classifiers for Android malware detection. | Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Wei Minn |