Heterogeneous graph attention network X Wang, H Ji, C Shi, B Wang, Y Ye, P Cui, PS Yu The World Wide Web Conference, 2022-2032, 2019 | 278 | 2019 |
A survey on malware detection using data mining techniques Y Ye, T Li, D Adjeroh, SS Iyengar ACM Computing Surveys (CSUR) 50 (3), 1-40, 2017 | 260 | 2017 |
IMDS: Intelligent malware detection system Y Ye, D Wang, T Li, D Ye Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 244 | 2007 |
An intelligent PE-malware detection system based on association mining Y Ye, D Wang, T Li, D Ye, Q Jiang Journal in computer virology 4 (4), 323-334, 2008 | 205 | 2008 |
Hindroid: An intelligent android malware detection system based on structured heterogeneous information network S Hou, Y Ye, Y Song, M Abdulhayoglu Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 138 | 2017 |
CIMDS: adapting postprocessing techniques of associative classification for malware detection Y Ye, T Li, Q Jiang, Y Wang IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 127 | 2010 |
Automatic malware categorization using cluster ensemble Y Ye, T Li, Y Chen, Q Jiang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 125 | 2010 |
Deep4maldroid: A deep learning framework for android malware detection based on linux kernel system call graphs S Hou, A Saas, L Chen, Y Ye 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016 | 116 | 2016 |
Malicious sequential pattern mining for automatic malware detection Y Fan, Y Ye, L Chen Expert Systems with Applications 52, 16-25, 2016 | 114 | 2016 |
Dl4md: A deep learning framework for intelligent malware detection W Hardy, L Chen, S Hou, Y Ye, X Li Proceedings of the International Conference on Data Science (ICDATA), 61, 2016 | 112 | 2016 |
Combining file content and file relations for cloud based malware detection Y Ye, T Li, S Zhu, W Zhuang, E Tas, U Gupta, M Abdulhayoglu Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 100 | 2011 |
SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging Y Ye, L Chen, D Wang, T Li, Q Jiang, M Zhao Journal in computer virology 5 (4), 283-293, 2009 | 89 | 2009 |
Ensemble clustering for internet security applications W Zhuang, Y Ye, Y Chen, T Li IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2012 | 60 | 2012 |
DeepAM: a heterogeneous deep learning framework for intelligent malware detection Y Ye, L Chen, S Hou, W Hardy, X Li Knowledge and Information Systems 54 (2), 265-285, 2018 | 57 | 2018 |
Droiddelver: An android malware detection system using deep belief network based on api call blocks S Hou, A Saas, Y Ye, L Chen International conference on web-age information management, 54-66, 2016 | 57 | 2016 |
Securedroid: Enhancing security of machine learning-based detection against adversarial android malware attacks L Chen, S Hou, Y Ye Proceedings of the 33rd Annual Computer Security Applications Conference …, 2017 | 56 | 2017 |
Hierarchical associative classifier (HAC) for malware detection from the large and imbalanced gray list Y Ye, T Li, K Huang, Q Jiang, Y Chen Journal of Intelligent Information Systems 35 (1), 1-20, 2010 | 50 | 2010 |
Adversarial machine learning in malware detection: Arms race between evasion attack and defense L Chen, Y Ye, T Bourlai 2017 European Intelligence and Security Informatics Conference (EISIC), 99-106, 2017 | 49 | 2017 |
Automatic detection of helmet uses for construction safety AHM Rubaiyat, TT Toma, M Kalantari-Khandani, SA Rahman, L Chen, ... 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016 | 46 | 2016 |
Gotcha-sly malware! scorpion a metagraph2vec based malware detection system Y Fan, S Hou, Y Zhang, Y Ye, M Abdulhayoglu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 45 | 2018 |