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Annamalai Narayanan
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graph2vec: Learning distributed representations of graphs
A Narayanan, M Chandramohan, R Venkatesan, L Chen, Y Liu, S Jaiswal
arXiv preprint arXiv:1707.05005, 2017
8342017
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
2042016
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
892014
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
882018
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
882017
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
862016
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
852016
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
832016
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
532019
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
322016
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
302018
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
222016
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
182017
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
102017
Machine learning techniques for program representation and comprehension with applications to mobile security
A Narayanan
2017
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