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Ming Fan (范铭)
Ming Fan (范铭)
Verified email at mail.xjtu.edu.cn - Homepage
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Cited by
Cited by
Year
Android malware familial classification and representative sample selection via frequent subgraph analysis
M Fan, J Liu, X Luo, K Chen, Z Tian, Q Zheng, T Liu
IEEE Transactions on Information Forensics and Security 13 (8), 1890-1905, 2018
1972018
Dapasa: detecting android piggybacked apps through sensitive subgraph analysis
M Fan, J Liu, W Wang, H Li, Z Tian, T Liu
IEEE Transactions on Information Forensics and Security 12 (8), 1772-1785, 2017
1262017
Frequent subgraph based familial classification of android malware
M Fan, J Liu, X Luo, K Chen, T Chen, Z Tian, X Zhang, Q Zheng, T Liu
2016 IEEE 27th International Symposium on Software Reliability Engineering …, 2016
722016
Software plagiarism detection with birthmarks based on dynamic key instruction sequences
Z Tian, Q Zheng, T Liu, M Fan, E Zhuang, Z Yang
IEEE Transactions on Software Engineering 41 (12), 1217-1235, 2015
652015
Graph embedding based familial analysis of Android malware using unsupervised learning
M Fan, X Luo, J Liu, M Wang, C Nong, Q Zheng, T Liu
Proceedings of the 41st International Conference on Software Engineering …, 2019
642019
DKISB: Dynamic key instruction sequence birthmark for software plagiarism detection
Z Tian, Q Zheng, T Liu, M Fan
2013 IEEE 10th International Conference on High Performance Computing and …, 2013
402013
An empirical evaluation of GDPR compliance violations in Android mHealth apps
M Fan, L Yu, S Chen, H Zhou, X Luo, S Li, Y Liu, J Liu, T Liu
2020 IEEE 31st international symposium on software reliability engineering …, 2020
362020
Can we trust your explanations? sanity checks for interpreters in android malware analysis
M Fan, W Wei, X Xie, Y Liu, X Guan, T Liu
IEEE Transactions on Information Forensics and Security 16, 838-853, 2020
322020
Reviving sequential program birthmarking for multithreaded software plagiarism detection
Z Tian, T Liu, Q Zheng, E Zhuang, M Fan, Z Yang
IEEE Transactions on Software Engineering 44 (5), 491-511, 2017
282017
Plagiarism detection for multithreaded software based on thread-aware software birthmarks
Z Tian, Q Zheng, T Liu, M Fan, X Zhang, Z Yang
Proceedings of the 22nd International Conference on Program Comprehension …, 2014
242014
CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis
M Fan, X Luo, J Liu, C Nong, Q Zheng, T Liu
IEEE Trasaction on Reliability, 2020
222020
Exploiting thread-related system calls for plagiarism detection of multithreaded programs
Z Tian, T Liu, Q Zheng, M Fan, E Zhuang, Z Yang
Journal of Systems and Software 119, 136-148, 2016
212016
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
K Jin, T Zhang, C Shen, Y Chen, M Fan, C Lin, T Liu
IEEE Transactions on Dependable and Secure Computing, 2022
18*2022
Text backdoor detection using an interpretable rnn abstract model
M Fan, Z Si, X Xie, Y Liu, T Liu
IEEE Transactions on Information Forensics and Security 16, 4117-4132, 2021
152021
Just-in-time defect prediction for Android apps via imbalanced deep learning model
K Zhao, Z Xu, M Yan, Y Tang, M Fan, G Catolino
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1447-1454, 2021
122021
Android malware detection: A survey
M Fan, T Liu, J Liu, X Luo, L Yu, X Guan
Scientia Sinica Informationis 50 (8), 1148-1177, 2020
102020
Interpretation-enabled software reuse detection based on a multi-level birthmark model
X Xu, Q Zheng, Z Yan, M Fan, A Jia, T Liu
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
72021
A new thread-aware birthmark for plagiarism detection of multithreaded programs
Z Tian, T Liu, Q Zheng, F Tong, M Fan, Z Yang
Proceedings of the 38th International Conference on Software Engineering …, 2016
72016
DBPD: A Dynamic Birthmark-based Software Plagiarism Detection Tool.
Z Tian, Q Zheng, M Fan, E Zhuang, H Wang, T Liu
SEKE, 740-741, 2014
72014
Explanation-Guided Fairness Testing through Genetic Algorithm
Ming Fan, Wenying Wei, Wuxia Jin, Zijiang Yang, Ting Liu
44th International Conference on Software Engineering (ICSE), 871--882, 2022
5*2022
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