Lwin Khin Shar

According to our database, Lwin Khin Shar authored at least 66 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?

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

CoRR, July, 2025

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones.

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

CoRR, July, 2025

Back to the Basics: Rethinking Issue-Commit Linking with LLM-Assisted Retrieval.

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

CoRR, July, 2025

Mapping NVD Records to Their VFCs: How Hard is it?

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

CoRR, June, 2025

Let the Trial Begin: A Mock-Court Approach to Vulnerability Detection using LLM-Based Agents.

Ratnadira Widyasari, Martin Weyssow, Ivana Clairine Irsan, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, Hong Jin Kang, David Lo

CoRR, May, 2025

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

CoRR, May, 2025

VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps.

Biniam Fisseha Demissie, Yan Naing Tun, Lwin Khin Shar, Mariano Ceccato

CoRR, April, 2025

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation.

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

CoRR, April, 2025

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency.

Erik Johannes Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre Kåsen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu

CoRR, April, 2025

Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software.

Yiran Cheng, Ting Zhang, Lwin Khin Shar, Zhe Lang, David Lo, Shichao Lv, Dongliang Fang, Zhiqiang Shi, Limin Sun

CoRR, March, 2025

Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions.

Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Bomin Mao, Kwok-Yan Lam

CoRR, March, 2025

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection.

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

CoRR, March, 2025

Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead.

Yiran Cheng, Hong Jin Kang, Lwin Khin Shar, Chaopeng Dong, Zhiqiang Shi, Shichao Lv, Limin Sun

CoRR, March, 2025

Shelving it rather than Ditching it: Dynamically Debloating DEX and Native Methods of Android Applications without APK Modification.

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

CoRR, January, 2025

Fuzzing drones for anomaly detection: A systematic literature review.

Vikas Kumar Malviya, Wei Minn, Lwin Khin Shar, Lingxiao Jiang

Comput. Secur., 2025

DynDebloater: Dynamically Debloating Unwanted Features of Android Apps without APK Modification.

Zicheng Zhang, Jiakun Liu, Ferdian Thung, Xing Hu, Wei Minn, Yan Naing Tun, Lwin Khin Shar, David Lo, Debin Gao

Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

2024

Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand.

Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, Kwok-Yan Lam

IEEE Trans. Veh. Technol., March, 2024

ACTISM: Threat-informed Dynamic Security Modelling for Automotive Systems.

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar

CoRR, 2024

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics.

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

CoRR, 2024

LLM-Enhanced Static Analysis for Precise Identification of Vulnerable OSS Versions.

Yiran Cheng, Lwin Khin Shar, Ting Zhang, Shouguo Yang, Chaopeng Dong, David Lo, Shichao Lv, Zhiqiang Shi, Limin Sun

CoRR, 2024

The Price of Prompting: Profiling Energy Use in Large Language Models Inference.

Erik Johannes Husom, Arda Goknil, Lwin Khin Shar, Sagar Sen

CoRR, 2024

Security Modelling for Cyber-Physical Systems: A Systematic Literature Review.

Shaofei Huang, Christopher M. Poskitt, Lwin Khin Shar

CoRR, 2024

Empirical Evaluation of Hyper-parameter Optimization Techniques for Deep Learning-based Malware Detectors.

Lwin Khin Shar, Ta Nguyen Binh Duong, Yao Cong Yeo, Jiani Fan

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

DronLomaly: Runtime Log-based Anomaly Detector for DJI Drones.

Wei Minn, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Experimental comparison of features, analyses, and classifiers for Android malware detection.

Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Yan Naing Tun, David Lo, Lingxiao Jiang, Christoph Bienert

Empir. Softw. Eng., November, 2023

AutoConf: Automated Configuration of Unsupervised Learning Systems Using Metamorphic Testing and Bayesian Optimization.

Lwin Khin Shar, Arda Goknil, Erik Johannes Husom, Sagar Sen, Yan Naing Tun, Kisub Kim

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding.

Vikas Kumar Malviya, Yan Naing Tun, Chee Wei Leow, Ailys Tee Xynyn, Lwin Khin Shar, Lingxiao Jiang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

An Industrial Practice for Securing Android Apps in the Banking Domain.

Vikas Kumar Malviya, Phong Phan, Yan Naing Tun, Albert Ching, Lwin Khin Shar

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Benchmark suite for "An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications through Security Slicing and Hybrid Constraint Solving".

Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand

Dataset, May, 2022

Automated reverse engineering of role-based access control policies of web applications.

Ha Thanh Le, Lwin Khin Shar, Domenico Bianculli, Lionel Claude Briand, Cu Duy Nguyen

J. Syst. Softw., 2022

AP-Coach: formative feedback generation for learning introductory programming concepts.

Ta Nguyen Binh Duong, Lwin Khin Shar, Venky Shankararaman

Proceedings of the IEEE International Conference on Teaching, 2022

Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks.

Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam

Proceedings of the Network and System Security - 16th International Conference, 2022

Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps.

Vikas Kumar Malviya, Chee Wei Leow, Ashok Kasthuri, Yan Naing Tun, Lwin Khin Shar, Lingxiao Jiang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

XSS for the Masses: Integrating Security in a Web Programming Course using a Security Scanner.

Lwin Khin Shar, Christopher M. Poskitt, Kyong Jin Shim, Li Ying Leonard Wong

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

UIPDroid: Unrooted Dynamic Monitor of Android App UIs for Fine-Grained Permission Control.

Mulin Duan, Lingxiao Jiang, Lwin Khin Shar, Debin Gao

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

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

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021

COVID-19 One Year on - Security and Privacy Review of Contact Tracing Mobile Apps.

Vincent Ang, Lwin Khin Shar

IEEE Pervasive Comput., 2021

Out of sight, out of mind? How vulnerable dependencies affect open-source projects.

Gede Artha Azriadi Prana, Abhishek Sharma, Lwin Khin Shar, Darius Foo, Andrew E. Santosa, Asankhaya Sharma, David Lo

Empir. Softw. Eng., 2021

Empirical Evaluation of Minority Oversampling Techniques in the Context of Android Malware Detection.

Lwin Khin Shar, Ta Nguyen Binh Duong, David Lo

Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021

2020

An Integrated Approach for Effective Injection Vulnerability Analysis of Web Applications Through Security Slicing and Hybrid Constraint Solving.

Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand

IEEE Trans. Software Eng., 2020

Security analysis of permission re-delegation vulnerabilities in Android apps.

Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar

Empir. Softw. Eng., 2020

Experimental comparison of features and classifiers for Android malware detection.

Lwin Khin Shar, Biniam Fisseha Demissie, Mariano Ceccato, Wei Minn

Proceedings of the MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, 2020

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

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2018

Security slicing for auditing common injection vulnerabilities.

Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand

J. Syst. Softw., 2018

Modeling Security and Privacy Requirements: a Use Case-Driven Approach.

Phu X. Mai, Arda Goknil, Lwin Khin Shar, Fabrizio Pastore, Lionel C. Briand, Shaban Shaame

Inf. Softw. Technol., 2018

AnFlo: detecting anomalous sensitive information flows in Android apps.

Biniam Fisseha Demissie, Mariano Ceccato, Lwin Khin Shar

Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

2017

JoanAudit: a tool for auditing common injection vulnerabilities.

Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Search-driven string constraint solving for vulnerability detection.

Julian Thomé, Lwin Khin Shar, Domenico Bianculli, Lionel C. Briand

Proceedings of the 39th International Conference on Software Engineering, 2017

2015

Web Application Vulnerability Prediction Using Hybrid Program Analysis and Machine Learning.

Lwin Khin Shar, Lionel C. Briand, Hee Beng Kuan Tan

IEEE Trans. Dependable Secur. Comput., 2015

Security slicing for auditing XML, XPath, and SQL injection vulnerabilities.

Julian Thomé, Lwin Khin Shar, Lionel C. Briand

Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

Mining Patterns of Unsatisfiable Constraints to Detect Infeasible Paths.

Sun Ding, Hee Beng Kuan Tan, Lwin Khin Shar

Proceedings of the 10th IEEE/ACM International Workshop on Automation of Software Test, 2015

2014

Empirical Comparison of Intermediate Representations for Android Applications.

Yauhen Arnatovich, Hee Beng Kuan Tan, Sun Ding, Kaiping Liu, Lwin Khin Shar

Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

2013

Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patterns.

Lwin Khin Shar, Hee Beng Kuan Tan

Inf. Softw. Technol., 2013

Defeating SQL Injection.

Lwin Khin Shar, Hee Beng Kuan Tan

Computer, 2013

A scalable approach for malware detection through bounded feature space behavior modeling.

Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C. Briand, Lwin Khin Shar, Bindu Madhavi Padmanabhuni

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

Mining SQL injection and cross site scripting vulnerabilities using hybrid program analysis.

Lwin Khin Shar, Hee Beng Kuan Tan, Lionel C. Briand

Proceedings of the 35th International Conference on Software Engineering, 2013

Towards a Hybrid Framework for Detecting Input Manipulation Vulnerabilities.

Sun Ding, Hee Beng Kuan Tan, Lwin Khin Shar, Bindu Madhavi Padmanabhuni

Proceedings of the 20th Asia-Pacific Software Engineering Conference, 2013

2012

Automated removal of cross site scripting vulnerabilities in web applications.

Lwin Khin Shar, Hee Beng Kuan Tan

Inf. Softw. Technol., 2012

Auditing the XSS defence features implemented in web application programs.

Lwin Khin Shar, Hee Beng Kuan Tan

IET Softw., 2012

Defending against Cross-Site Scripting Attacks.

Lwin Khin Shar, Hee Beng Kuan Tan

Computer, 2012

Scalable malware clustering through coarse-grained behavior modeling.

Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar

Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012

Predicting common web application vulnerabilities from input validation and sanitization code patterns.

Lwin Khin Shar, Hee Beng Kuan Tan

Proceedings of the IEEE/ACM International Conference on Automated Software Engineering, 2012

Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities.

Lwin Khin Shar, Hee Beng Kuan Tan

Proceedings of the 34th International Conference on Software Engineering, 2012

Semi-Automated Verification of Defense against SQL Injection in Web Applications.

Kaiping Liu, Hee Beng Kuan Tan, Lwin Khin Shar

Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

2010

Semi-Automated Verification and Removal of Open Redirect Vulnerabilities in Web Applications.

Lwin Khin Shar, Hee Beng Kuan Tan

Proceedings of the 2010 International Conference on Software Engineering Research & Practice, 2010

Auditing the Defense Against Cross Site Scripting in Web Applications.

Lwin Khin Shar, Hee Beng Kuan Tan

Proceedings of the SECRYPT 2010, 2010