Ming Fan

According to our database, Ming Fan authored at least 43 papers between 2013 and 2023.

Collaborative distances:

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

2023

PatchDiscovery: Patch Presence Test for Identifying Binary Vulnerabilities Based on Key Basic Blocks.

Xi Xu, Qinghua Zheng, Zheng Yan, Ming Fan, Ang Jia, Zhaohui Zhou, Haijun Wang, Ting Liu

IEEE Trans. Software Eng., December, 2023

1-to-1 or 1-to-n? Investigating the Effect of Function Inlining on Binary Similarity Analysis.

Ang Jia, Ming Fan, Wuxia Jin, Xi Xu, Zhaohui Zhou, Qiyi Tang, Sen Nie, Shi Wu, Ting Liu

ACM Trans. Softw. Eng. Methodol., July, 2023

The impact of class imbalance techniques on crashing fault residence prediction models.

Kunsong Zhao, Zhou Xu, Meng Yan, Tao Zhang, Lei Xue, Ming Fan, Jacky Keung

Empir. Softw. Eng., March, 2023

Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?

Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu

IEEE Trans. Dependable Secur. Comput., 2023

Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App.

Yin Wang, Ming Fan, Junfeng Liu, Junjie Tao, Wuxia Jin, Qi Xiong, Yuhao Liu, Qinghua Zheng, Ting Liu

CoRR, 2023

BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing.

Jiali Wei, Ming Fan, Wenjing Jiao, Wuxia Jin, Ting Liu

CoRR, 2023

Identifying Code Changes for Architecture Decay via a Metric Forest Structure.

Wuxia Jin, Yuyun Zhang, Jiaowei Shang, Yi Hou, Ming Fan, Ting Liu

Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023

MUID: Detecting Sensitive User Inputs in Miniapp Ecosystems.

Ziqiang Yan, Ming Fan, Yin Wang, Jifei Shi, Haoran Wang, Ting Liu

Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Superapps, 2023

JSLibD: Reliable and Heuristic Detection of Third-party Libraries in Miniapps.

Junjie Tao, Jifei Shi, Ming Fan, Yin Wang, Junfeng Liu, Ting Liu

Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Superapps, 2023

Dependency Facade: The Coupling and Conflicts between Android Framework and Its Customization.

Wuxia Jin, Yitong Dai, Jianguo Zheng, Yu Qu, Ming Fan, Zhenyu Huang, Dezhi Huang, Ting Liu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

An unsupervised cross project model for crashing fault residence identification.

Xiao Liu, Zhou Xu, Dan Yang, Meng Yan, Weihan Zhang, Haohan Zhao, Lei Xue, Ming Fan

IET Softw., December, 2022

ConcSpectre: Be Aware of Forthcoming Malware Hidden in Concurrent Programs.

Yang Liu, Zisen Xu, Ming Fan, Yu Hao, Kai Chen, Hao Chen, Yan Cai, Zijiang Yang, Ting Liu

IEEE Trans. Reliab., 2022

Comparing One with Many - Solving Binary2source Function Matching Under Function Inlining.

Ang Jia, Ming Fan, Xi Xu, Wuxia Jin, Haijun Wang, Qiyi Tang, Sen Nie, Shi Wu, Ting Liu

CoRR, 2022

AdaFrenetic at the SBST 2022 Tool Competition.

Songyang Yan, Ming Fan

Proceedings of the 15th IEEE/ACM International Workshop on Search-Based Software Testing, 2022

One step further: evaluating interpreters using metamorphic testing.

Ming Fan, Jiali Wei, Wuxia Jin, Zhou Xu, Wenying Wei, Ting Liu

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Testing Machine Learning Systems in Industry: An Empirical Study.

Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang

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

Explanation-Guided Fairness Testing through Genetic Algorithm.

Ming Fan, Wenying Wei, Wuxia Jin, Zijiang Yang, Ting Liu

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

2021

Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis.

Ming Fan, Wenying Wei, Xiaofei Xie, Yang Liu, Xiaohong Guan, Ting Liu

IEEE Trans. Inf. Forensics Secur., 2021

Text Backdoor Detection Using an Interpretable RNN Abstract Model.

Ming Fan, Ziliang Si, Xiaofei Xie, Yang Liu, Ting Liu

IEEE Trans. Inf. Forensics Secur., 2021

One-to-One or One-to-many? What function inlining brings to binary2source similarity analysis.

Ang Jia, Ming Fan, Wuxia Jin, Xi Xu, Ting Liu

CoRR, 2021

Just-in-time defect prediction for Android apps via imbalanced deep learning model.

Kunsong Zhao, Zhou Xu, Meng Yan, Yutian Tang, Ming Fan, Gemma Catolino

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Where to Start: Studying Type Annotation Practices in Python.

Wuxia Jin, Dinghong Zhong, Zifan Ding, Ming Fan, Ting Liu

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model.

Xi Xu, Qinghua Zheng, Zheng Yan, Ming Fan, Ang Jia, Ting Liu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL.

Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, Ting Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis.

Ming Fan, Xiapu Luo, Jun Liu, Chunyin Nong, Qinghua Zheng, Ting Liu

IEEE Trans. Reliab., 2020

A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models.

Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu

CoRR, 2020

Revisiting the Challenges and Opportunities in Software Plagiarism Detection.

Xi Xu, Ming Fan, Ang Jia, Yin Wang, Zheng Yan, Qinghua Zheng, Ting Liu

Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

Interpretation Area-Guided Detection of Adversarial Samples.

Jiali Wei, Ming Fan, Xi Xu, Ang Jia, Zhou Xu, Lei Xue

Proceedings of the 20th IEEE International Conference on Software Quality, 2020

From Innovations to Prospects: What Is Hidden Behind Cryptocurrencies?

Ang Jia, Ming Fan, Xi Xu, Di Cui, Wenying Wei, Zijiang Yang, Kai Ye, Ting Liu

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps.

Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, Ting Liu

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Automated bug reproduction from user reviews for Android applications.

Shuyue Li, Jiaqi Guo, Ming Fan, Jian-Guang Lou, Qinghua Zheng, Ting Liu

Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

2019

Graph embedding based familial analysis of Android malware using unsupervised learning.

Ming Fan, Xiapu Luo, Jun Liu, Meng Wang, Chunyin Nong, Qinghua Zheng, Ting Liu

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection.

Zhenzhou Tian, Ting Liu, Qinghua Zheng, Eryue Zhuang, Ming Fan, Zijiang Yang

IEEE Trans. Software Eng., 2018

Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis.

Ming Fan, Jun Liu, Xiapu Luo, Kai Chen, Zhenzhou Tian, Qinghua Zheng, Ting Liu

IEEE Trans. Inf. Forensics Secur., 2018

2017

DAPASA: Detecting Android Piggybacked Apps Through Sensitive Subgraph Analysis.

Ming Fan, Jun Liu, Wei Wang, Haifei Li, Zhenzhou Tian, Ting Liu

IEEE Trans. Inf. Forensics Secur., 2017

2016

Exploiting thread-related system calls for plagiarism detection of multithreaded programs.

Zhenzhou Tian, Ting Liu, Qinghua Zheng, Ming Fan, Eryue Zhuang, Zijiang Yang

J. Syst. Softw., 2016

Debugging Multithreaded Programs as if They Were Sequential.

Xiaodong Zhang, Zijiang Yang, Qinghua Zheng, Yu Hao, Pei Liu, Lechen Yu, Ming Fan, Ting Liu

Proceedings of the International Conference on Software Analysis, Testing and Evolution, 2016

Frequent Subgraph Based Familial Classification of Android Malware.

Ming Fan, Jun Liu, Xiapu Luo, Kai Chen, Tianyi Chen, Zhenzhou Tian, Xiaodong Zhang, Qinghua Zheng, Ting Liu

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

A new thread-aware birthmark for plagiarism detection of multithreaded programs.

Zhenzhou Tian, Ting Liu, Qinghua Zheng, Feifei Tong, Ming Fan, Zijiang Yang

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

Software Plagiarism Detection with Birthmarks Based on Dynamic Key Instruction Sequences.

Zhenzhou Tian, Qinghua Zheng, Ting Liu, Ming Fan, Eryue Zhuang, Zijiang Yang

IEEE Trans. Software Eng., 2015

2014

DBPD: A Dynamic Birthmark-based Software Plagiarism Detection Tool.

Zhenzhou Tian, Qinghua Zheng, Ming Fan, Eryue Zhuang, Haijun Wang, Ting Liu

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

Plagiarism detection for multithreaded software based on thread-aware software birthmarks.

Zhenzhou Tian, Qinghua Zheng, Ting Liu, Ming Fan, Xiaodong Zhang, Zijiang Yang

Proceedings of the 22nd International Conference on Program Comprehension, 2014

2013

DKISB: Dynamic Key Instruction Sequence Birthmark for Software Plagiarism Detection.

Zhenzhou Tian, Qinghua Zheng, Ting Liu, Ming Fan

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013