Wei Minn

14 papers B 1C 3Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CovAgent: Overcoming the 30% Curse of Mobile Application Coverage with Agentic AI and Dynamic Instrumentation.
CoRR
Wei Minn, Biniam Fisseha Demissie, Yan Naing Tun, Jiakun Liu, Mariano Ceccato, Lwin Khin Shar, David Lo
2026 J jnl
Studying SATD in drone systems with Human-AI collaboration.
J. Syst. Softw.
Leevi Rantala, Lwin Khin Shar, Mika V. Mäntylä, Wei Minn, Yan Naing Tun
2026 J jnl
Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia.
CoRR
Wei Minn, Phong Phan, Vikas Kumar Malviya, Benjamin Adolphi, Yan Naing Tun, Henning Benzon Treichl, Albert Ching, Lwin Khin Shar, David Lo
2025 J jnl
Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework.
CoRR
Han Hu, Wei Minn, Yonghui Liu, Jiakun Liu, Ferdian Thung, Terry Yue Zhuo, Lwin Khin Shar, Debin Gao, David Lo
2025 — conf
DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification.
SIGSOFT FSE Companion
Zicheng Zhang, Jiakun Liu, Ferdian Thung, Xing Hu, Wei Minn, Yan Naing Tun, Lwin Khin Shar, David Lo, Debin Gao
2025 J jnl
Fuzzing drones for anomaly detection: A systematic literature review.
Comput. Secur.
Vikas Kumar Malviya, Wei Minn, Lwin Khin Shar, Lingxiao Jiang
2025 B conf
Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach.
ICECCS
Ivan Tan, Wei Minn, Christopher M. Poskitt, Lwin Khin Shar, Lingxiao Jiang
2025 J jnl
Runtime Anomaly Detection for Drones: An Integrated Rule-Mining and Unsupervised-Learning Approach.
CoRR
Ivan Tan, Wei Minn, Christopher M. Poskitt, Lwin Khin Shar, Lingxiao Jiang
2025 J jnl
Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification.
CoRR
Zicheng Zhang, Jiakun Liu, Ferdian Thung, Haoyu Ma, Rui Li, Yan Naing Tun, Wei Minn, Lwin Khin Shar, Shahar Maoz, Eran Toch, David Lo, Joshua Wong, Debin Gao
2025 C conf
Virtualization-based Penetration Testing Study for Detecting Accessibility Abuse Vulnerabilities in Banking Apps in East and Southeast Asia.
APSEC
Wei Minn, Phong Phan, Vikas Kumar Malviya, Benjamin Adolphi, Yan Naing Tun, Henning Benzon Treichl, Albert Ching, Lwin Khin Shar, David Lo
2024 — conf
DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones.
ICSE Companion
Wei Minn, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang
2022 C conf
DronLomaly: Runtime Detection of Anomalous Drone Behaviors via Log Analysis and Deep Learning.
APSEC
Lwin Khin Shar, Wei Minn, Ta Nguyen Binh Duong, Jiani Fan, Lingxiao Jiang, Daniel Lim Wai Kiat
2020 — conf
Experimental comparison of features and classifiers for Android malware detection.
MOBILESoft@ICSE
Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Wei Minn
2020 C conf
SmartFuzz: An Automated Smart Fuzzing Approach for Testing SmartThings Apps.
APSEC
Lwin Khin Shar, Ta Nguyen Binh Duong, Lingxiao Jiang, David Lo, Wei Minn, Glenn Kiah Yong Yeo, Eugene Kim