Lwin Khin Shar

88 papers A* 9A 1B 3C 7Journal 56Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Function-Level Analysis: Context-Aware Reasoning for Inter-Procedural Vulnerability Detection. CoRR Yikun Li, Ting Zhang, Jieke Shi, Chengran Yang, Junda He, Xin Zhou, Jinfeng Jiang, Huihui Huang, Wen Bin Leow, Yide Yin, Eng Lieh Ouh, Lwin Khin Shar, David Lo
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`	Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions. IEEE Internet Things J. Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam
2026	J	`jnl`	Func: reducing the impact of Android framework evolution on malware detection. Empir. Softw. Eng. Hailong Yu, Tiantian Wang, Lwin Khin Shar, Hanmeng Li, David Lo
2026	J	`jnl`	LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis. CoRR Gou Tan, Zilong He, Min Li, Pengfei Chen, Jieke Shi, Zhensu Sun, Ting Zhang, Danwen Chen, Lwin Khin Shar, Chuanfu Zhang, David Lo
2026	J	`jnl`	PenForge: On-the-Fly Expert Agent Construction for Automated Penetration Testing. CoRR Huihui Huang, Jieke Shi, Junkai Chen, Ting Zhang, Yikun Li, Chengran Yang, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2026	J	`jnl`	Revisiting Vulnerability Patch Identification on Data in the Wild. CoRR Ivana Clairine Irsan, Ratnadira Widyasari, Ting Zhang, Huihui Huang, Ferdian Thung, Yikun Li, Lwin Khin Shar, Eng Lieh Ouh, Hong Jin Kang, 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`	VLM-Fuzz: Vision language model assisted recursive depth-first search exploration for effective GUI testing of android apps. Empir. Softw. Eng. Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar, Mariano Ceccato
2026	J	`jnl`	Vercation: Precise Vulnerable Open-Source Software Version Identification Based on Static Analysis and LLM. IEEE Trans. Software Eng. Yiran Cheng, Ting Zhang, Lwin Khin Shar, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun
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`	Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval. CoRR Huihui Huang, Ratnadira Widyasari, Ting Zhang, Ivana Clairine Irsan, Jieke Shi, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, 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	J	`jnl`	Bayesian and Multi-Objective Decision Support for Real-Time Cyber-Physical Incident Mitigation. CoRR Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar
2025	J	`jnl`	Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection. CoRR Ting Zhang, Chengran Yang, Yindu Su, Martin Weyssow, Huu Hung Nguyen, Tan Bui, Hong Jin Kang, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions. CoRR Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Bomin Mao, Kwok-Yan Lam
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`	Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software. CoRR Yiran Cheng, Ting Zhang, Lwin Khin Shar, Zhe Lang, David Lo, Shichao Lv, Dongliang Fang, Zhiqiang Shi, Limin Sun
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	J	`jnl`	GenScore: Agent-Based Short-Answer Question Generation and Scoring in Software Engineering Courses. IEEE Access Ta Nguyen Binh Duong, Lwin Khin Shar
2025	J	`jnl`	Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents. CoRR Ratnadira Widyasari, Martin Weyssow, Ivana Clairine Irsan, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo
2025	J	`jnl`	Mapping NVD Records to Their VFCs: How Hard is it? CoRR Huu Hung Nguyen, Duc-Manh Tran, Yiran Cheng, Thanh Le-Cong, Hong Jin Kang, Ratnadira Widyasari, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo
2025	J	`jnl`	Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses? CoRR Yikun Li, Ngoc Tan Bui, Ting Zhang, Martin Weyssow, Chengran Yang, Xin Zhou, Jinfeng Jiang, Junkai Chen, Huihui Huang, Huu Hung Nguyen, Chiok Yew Ho, Jie Tang, Ruiyin Li, Yide Yin, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2025	J	`jnl`	PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings. CoRR Huu Hung Nguyen, Anh Tuan Nguyen, Thanh Le-Cong, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Ouh Eng Lieh, Ting Zhang, David Lo
2025	J	`jnl`	R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation. CoRR Martin Weyssow, Chengran Yang, Junkai Chen, Yikun Li, Huihui Huang, Ratnadira Widyasari, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo
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`	Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework. CoRR Chengran Yang, Ting Zhang, Jinfeng Jiang, Xin Zhou, Haoye Tian, Jieke Shi, Junkai Chen, Yikun Li, Eng Lieh Ouh, Lwin Khin Shar, David Lo
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	J	`jnl`	Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency. CoRR Erik Johannes Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre Kåsen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu
2025	J	`jnl`	Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency. ACM Trans. Internet Things Erik Johannes Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre KãJPYsen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu
2025	J	`jnl`	Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead. CoRR Yiran Cheng, Hong Jin Kang, Lwin Khin Shar, Chaopeng Dong, Zhiqiang Shi, Shichao Lv, Limin Sun
2025	J	`jnl`	VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps. CoRR Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar, Mariano Ceccato
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
2025	J	`jnl`	VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones. CoRR Tan Bui, Yan Naing Tun, Thanh Phuc Nguyen, Yindu Su, Ferdian Thung, Yikun Li, Han Wei Ang, Yide Yin, Frank Liauw, Lwin Khin Shar, Eng Lieh Ouh, Ting Zhang, David Lo
2024	J	`jnl`	ACTISM: Threat-informed Dynamic Security Modelling for Automotive Systems. CoRR Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar
2024	J	`jnl`	CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics. CoRR Yikun Li, Ting Zhang, Ratnadira Widyasari, Yan Naing Tun, Huu Hung Nguyen, Tan Bui, Ivana Clairine Irsan, Yiran Cheng, Xiang Lan, Han Wei Ang, Frank Liauw, Martin Weyssow, Hong Jin Kang, Eng Lieh Ouh, Lwin Khin Shar, David Lo
2024	J	`jnl`	Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand. IEEE Trans. Veh. Technol. Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam
2024	J	`jnl`	Decentralized Multimedia Data Sharing in IoV: A Learning-based Equilibrium of Supply and Demand. CoRR Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam
2024	J	`jnl`	Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks. CoRR Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam
2024	—	`conf`	DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones. ICSE Companion Wei Minn, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang
2024	B	`conf`	Empirical Evaluation of Hyper-parameter Optimization Techniques for Deep Learning-based Malware Detectors. KES Lwin Khin Shar, Ta Nguyen Binh Duong, Yao Cong Yeo, Jiani Fan
2024	J	`jnl`	LLM-Enhanced Static Analysis for Precise Identification of Vulnerable OSS Versions. CoRR Yiran Cheng, Lwin Khin Shar, Ting Zhang, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun
2024	J	`jnl`	Security Modelling for Cyber-Physical Systems: A Systematic Literature Review. CoRR Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar
2024	J	`jnl`	The Price of Prompting: Profiling Energy Use in Large Language Models Inference. CoRR Erik Johannes Husom, Arda Goknil, Lwin Khin Shar, Sagar Sen
2023	A*	`conf`	An Industrial Practice for Securing Android Apps in the Banking Domain. ASE Vikas Kumar Malviya, Phong Phan, Yan Naing Tun, Albert Ching, Lwin Khin Shar
2023	A*	`conf`	AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization. ASE Lwin Khin Shar, Arda Goknil, Erik Johannes Husom, Sagar Sen, Yan Naing Tun, Kisub Kim
2023	J	`jnl`	Experimental comparison of features, analyses, and classifiers for Android malware detection. Empir. Softw. Eng. Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Yan Naing Tun, David Lo, Lingxiao Jiang, Christoph Bienert
2023	A*	`conf`	Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding. ASE Vikas Kumar Malviya, Yan Naing Tun, Chee Wei Leow, Ailys Tee Xynyn, Lwin Khin Shar, Lingxiao Jiang
2022	—	`conf`	AP-Coach: formative feedback generation for learning introductory programming concepts. TALE Ta Nguyen Binh Duong, Lwin Khin Shar, Venky Shankararaman
2022	J	`jnl`	Automated reverse engineering of role-based access control policies of web applications. J. Syst. Softw. Ha Thanh Le, Lwin Khin Shar, Domenico Bianculli, Lionel Claude Briand, Cu Duy Nguyen
2022	B	`conf`	Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks. NSS Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam
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
2022	A*	`conf`	Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps. ASE Vikas Kumar Malviya, Chee Wei Leow, Ashok Kasthuri, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang
2022	—	`conf`	UIPDroid: Unrooted Dynamic Monitor of Android App UIs for Fine-Grained Permission Control. ICSE-Companion Mulin Duan, Lingxiao Jiang, Lwin Khin Shar, Debin Gao
2022	—	`conf`	XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. ITiCSE (1) Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong
2022	J	`jnl`	XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner. CoRR Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong
2021	J	`jnl`	COVID-19 One Year on - Security and Privacy Review of Contact Tracing Mobile Apps. IEEE Pervasive Comput. Vincent Ang, Lwin Khin Shar
2021	C	`conf`	Empirical Evaluation of Minority Oversampling Techniques in the Context of Android Malware Detection. APSEC Lwin Khin Shar, Ta Nguyen Binh Duong, David Lo
2021	J	`jnl`	Out of sight, out of mind? How vulnerable dependencies affect open-source projects. Empir. Softw. Eng. Gede Artha Azriadi Prana, Abhishek Sharma, Lwin Khin Shar, Darius Foo, Andrew E. Santosa, Asankhaya Sharma, David Lo
2020	J	`jnl`	An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications Through Security Slicing and Hybrid Constraint Solving. IEEE Trans. Software Eng. Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand
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	J	`jnl`	Security analysis of permission re-delegation vulnerabilities in Android apps. Empir. Softw. Eng. Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar
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
2018	J	`jnl`	AnFlo: Detecting Anomalous Sensitive Information Flows in Android Apps. CoRR Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar
2018	—	`conf`	AnFlo: detecting anomalous sensitive information flows in Android apps. MOBILESoft@ICSE Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar
2018	J	`jnl`	Modeling Security and Privacy Requirements: a Use Case-Driven Approach. Inf. Softw. Technol. Phu X. Mai, Arda Goknil, Lwin Khin Shar, Fabrizio Pastore, Lionel C. Briand, Shaban Shaame
2018	J	`jnl`	Security slicing for auditing common injection vulnerabilities. J. Syst. Softw. Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand
2017	—	`conf`	JoanAudit: a tool for auditing common injection vulnerabilities. ESEC/SIGSOFT FSE Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand
2017	A*	`conf`	Search-driven string constraint solving for vulnerability detection. ICSE Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand
2015	—	`conf`	Mining Patterns of Unsatisfiable Constraints to Detect Infeasible Paths. AST@ICSE Sun Ding, Hee Beng Kuan Tan, Lwin Khin Shar
2015	A	`conf`	Security slicing for auditing XML, XPath, and SQL injection vulnerabilities. ISSRE Julian Thomé, Lwin Khin Shar, Lionel C. Briand
2015	J	`jnl`	Web Application Vulnerability Prediction Using Hybrid Program Analysis and Machine Learning. IEEE Trans. Dependable Secur. Comput. Lwin Khin Shar, Lionel C. Briand, Hee Beng Kuan Tan
2014	C	`conf`	Empirical Comparison of Intermediate Representations for Android Applications. SEKE Yauhen Arnatovich, Hee Beng Kuan Tan, Sun Ding, Kaiping Liu, Lwin Khin Shar
2013	A*	`conf`	A scalable approach for malware detection through bounded feature space behavior modeling. ASE Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C. Briand, Lwin Khin Shar, Bindu Madhavi Padmanabhuni
2013	J	`jnl`	Defeating SQL Injection. Computer Lwin Khin Shar, Hee Beng Kuan Tan
2013	A*	`conf`	Mining SQL injection and cross site scripting vulnerabilities using hybrid program analysis. ICSE Lwin Khin Shar, Hee Beng Kuan Tan, Lionel C. Briand
2013	J	`jnl`	Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patterns. Inf. Softw. Technol. Lwin Khin Shar, Hee Beng Kuan Tan
2013	—	`conf`	Towards a Hybrid Framework for Detecting Input Manipulation Vulnerabilities. APSEC (1) Sun Ding, Hee Beng Kuan Tan, Lwin Khin Shar, Bindu Madhavi Padmanabhuni
2012	J	`jnl`	Auditing the XSS defence features implemented in web application programs. IET Softw. Lwin Khin Shar, Hee Beng Kuan Tan
2012	J	`jnl`	Automated removal of cross site scripting vulnerabilities in web applications. Inf. Softw. Technol. Lwin Khin Shar, Hee Beng Kuan Tan
2012	J	`jnl`	Defending against Cross-Site Scripting Attacks. Computer Lwin Khin Shar, Hee Beng Kuan Tan
2012	A*	`conf`	Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities. ICSE Lwin Khin Shar, Hee Beng Kuan Tan
2012	A*	`conf`	Predicting common web application vulnerabilities from input validation and sanitization code patterns. ASE Lwin Khin Shar, Hee Beng Kuan Tan
2012	—	`conf`	Scalable malware clustering through coarse-grained behavior modeling. SIGSOFT FSE Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar
2012	C	`conf`	Semi-Automated Verification of Defense against SQL Injection in Web Applications. APSEC Kaiping Liu, Hee Beng Kuan Tan, Lwin Khin Shar
2010	C	`conf`	Auditing the Defense Against Cross Site Scripting in Web Applications. SECRYPT Lwin Khin Shar, Hee Beng Kuan Tan
2010	—	`conf`	Semi-Automated Verification and Removal of Open Redirect Vulnerabilities in Web Applications. Software Engineering Research and Practice Lwin Khin Shar, Hee Beng Kuan Tan