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 | 283 | 2017 |
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 | 247 | 2016 |
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 | 244 | 2016 |
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, 265-285, 2018 | 138 | 2018 |
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 | 112 | 2018 |
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 | 109 | 2017 |
Droiddelver: An android malware detection system using deep belief network based on api call blocks S Hou, A Saas, Y Ye, L Chen Web-Age Information Management: WAIM 2016 International Workshops, MWDA …, 2016 | 106 | 2016 |
Out-of-sample node representation learning for heterogeneous graph in real-time android malware detection Y Ye, S Hou, L Chen, J Lei, W Wan, J Wang, Q Xiong, F Shao 28th International joint conference on artificial intelligence (IJCAI), 2019 | 72 | 2019 |
-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19 Y Ye, S Hou, Y Fan, Y Qian, Y Zhang, S Sun, Q Peng, K Laparo arXiv preprint arXiv:2003.12232, 2020 | 67 | 2020 |
Deep neural networks for automatic android malware detection S Hou, A Saas, L Chen, Y Ye, T Bourlai Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 60 | 2017 |
Your style your identity: Leveraging writing and photography styles for drug trafficker identification in darknet markets over attributed heterogeneous information network Y Zhang, Y Fan, W Song, S Hou, Y Ye, X Li, L Zhao, C Shi, J Wang, ... The World Wide Web Conference, 3448-3454, 2019 | 56 | 2019 |
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model S Hou, Y Fan, Y Zhang, Y Ye, J Lei, W Wan, J Wang, Q Xiong, F Shao Proceedings of the 28th ACM international conference on information and …, 2019 | 49 | 2019 |
Droideye: Fortifying security of learning-based classifier against adversarial android malware attacks L Chen, S Hou, Y Ye, S Xu 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 44 | 2018 |
Heterogeneous temporal graph transformer: An intelligent system for evolving android malware detection Y Fan, M Ju, S Hou, Y Ye, W Wan, K Wang, Y Mei, Q Xiong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 30 | 2021 |
-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States Y Ye, S Hou, Y Fan, Y Zhang, Y Qian, S Sun, Q Peng, M Ju, W Song, ... IEEE Journal of Biomedical and Health Informatics 24 (10), 2755-2764, 2020 | 28 | 2020 |
Icsd: An automatic system for insecure code snippet detection in stack overflow over heterogeneous information network Y Ye, S Hou, L Chen, X Li, L Zhao, S Xu, J Wang, Q Xiong Proceedings of the 34th Annual Computer Security Applications Conference …, 2018 | 28 | 2018 |
idev: Enhancing social coding security by cross-platform user identification between github and stack overflow Y Fan, Y Zhang, S Hou, L Chen, Y Ye, C Shi, L Zhao, S Xu 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2019 | 26 | 2019 |
Make evasion harder: an intelligent Android malware detection system. S Hou, Y Ye, Y Song, M Abdulhayoglu IJCAI, 5279-5283, 2018 | 23 | 2018 |
Cluster-oriented ensemble classifiers for intelligent malware detection S Hou, L Chen, E Tas, I Demihovskiy, Y Ye Proceedings of the 2015 IEEE 9th International Conference on Semantic …, 2015 | 21 | 2015 |
Adaptive kernel graph neural network M Ju, S Hou, Y Fan, J Zhao, Y Ye, L Zhao Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 7051-7058, 2022 | 19 | 2022 |