| graph2vec: Learning distributed representations of graphs A Narayanan, M Chandramohan, R Venkatesan, L Chen, Y Liu, S Jaiswal arXiv preprint arXiv:1707.05005, 2017 | 873 | 2017 |
| subgraph2vec: Learning distributed representations of rooted sub-graphs from large graphs A Narayanan, M Chandramohan, L Chen, Y Liu, S Saminathan arXiv preprint arXiv:1606.08928, 2016 | 207 | 2016 |
| A multi-view context-aware approach to Android malware detection and malicious code localization A Narayanan, M Chandramohan, L Chen, Y Liu Empirical Software Engineering 23, 1222-1274, 2018 | 97 | 2018 |
| Context-aware, adaptive, and scalable android malware detection through online learning A Narayanan, M Chandramohan, L Chen, Y Liu IEEE Transactions on Emerging Topics in Computational Intelligence 1 (3 …, 2017 | 90 | 2017 |
| Adaptive and scalable android malware detection through online learning A Narayanan, L Yang, L Chen, L Jinliang 2016 International Joint Conference on Neural Networks (IJCNN), 2484-2491, 2016 | 90 | 2016 |
| Addetect: Automated detection of android ad libraries using semantic analysis A Narayanan, L Chen, CK Chan 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor …, 2014 | 90 | 2014 |
| Mystique: Evolving android malware for auditing anti-malware tools G Meng, Y Xue, C Mahinthan, A Narayanan, Y Liu, J Zhang, T Chen Proceedings of the 11th ACM on Asia conference on computer and …, 2016 | 86 | 2016 |
| Semantic modelling of android malware for effective malware comprehension, detection, and classification G Meng, Y Xue, Z Xu, Y Liu, J Zhang, A Narayanan Proceedings of the 25th International Symposium on Software Testing and …, 2016 | 85 | 2016 |
| Employee profiling via aspect-based sentiment and network for insider threats detection C Soh, S Yu, A Narayanan, S Duraisamy, L Chen Expert Systems with Applications 135, 351-361, 2019 | 55 | 2019 |
| apk2vec: Semi-supervised multi-view representation learning for profiling android applications A Narayanan, C Soh, L Chen, Y Liu, L Wang 2018 IEEE International Conference on Data Mining (ICDM), 357-366, 2018 | 32 | 2018 |
| Contextual weisfeiler-lehman graph kernel for malware detection A Narayanan, G Meng, L Yang, J Liu, L Chen 2016 International Joint Conference on Neural Networks (IJCNN), 4701-4708, 2016 | 32 | 2016 |
| LibSift: Automated detection of third-party libraries in android applications C Soh, HBK Tan, YL Arnatovich, A Narayanan, L Wang 2016 23rd Asia-Pacific Software Engineering Conference (APSEC), 41-48, 2016 | 22 | 2016 |
| Androvault: Constructing knowledge graph from millions of android apps for automated analysis G Meng, Y Xue, JK Siow, T Su, A Narayanan, Y Liu arXiv preprint arXiv:1711.07451, 2017 | 19 | 2017 |
| Context-aware, adaptive and scalable android malware detection through online learning (extended version) A Narayanan, M Chandramohan, L Chen, Y Liu arXiv preprint arXiv:1706.00947, 2017 | 10 | 2017 |
| Machine learning techniques for program representation and comprehension with applications to mobile security A Narayanan | | 2017 |
Yang LiuNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
