| graph2vec: Learning Distributed Representations of Graphs N Annamalai, C Mahinthan, V Rajasekar, C Lihui, L Yang, J Shantanu arXiv preprint arXiv:1707.05005, 2017 | 580 | 2017 |
| Steelix: program-state based binary fuzzing Y Li, B Chen, M Chandramohan, SW Lin, Y Liu, A Tiu Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017 | 278 | 2017 |
| Semantics-based online malware detection: Towards efficient real-time protection against malware S Das, Y Liu, W Zhang, M Chandramohan IEEE transactions on information forensics and security 11 (2), 289-302, 2015 | 193 | 2015 |
| 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 | 190 | 2016 |
| Bingo: Cross-architecture cross-os binary search M Chandramohan, Y Xue, Z Xu, Y Liu, CY Cho, HBK Tan Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 155 | 2016 |
| Detection of mobile malware in the wild M Chandramohan, HBK Tan Computer 45 (9), 65-71, 2012 | 111 | 2012 |
| SPAIN: Security Patch Analysis for Binaries - Towards Understanding the Pain and Pills Z Xu, B Chen, M Chandramohan, Y Liu, F Song Proceedings of the 39th International Conference on Software Engineering …, 2017 | 106 | 2017 |
| Mystique: Evolving Android Malware for Auditing Anti-Malware Tools G Meng, Y Xue, M Chandramohan, A Narayanan, Y Liu, J Zhang, T Chen ACM Asia Conference on Computer and Communications Security (ASIACCS 2016), 2016 | 72 | 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 | 71 | 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 | 68 | 2017 |
| Detection and classification of malicious JavaScript via attack behavior modelling Y Xue, J Wang, Y Liu, H Xiao, J Sun, M Chandramohan Proceedings of the 2015 International Symposium on Software Testing and …, 2015 | 45 | 2015 |
| A scalable approach for malware detection through bounded feature space behavior modeling M Chandramohan, HBK Tan, LC Briand, LK Shar, BM Padmanabhuni 2013 28th IEEE/ACM International Conference on Automated Software …, 2013 | 44 | 2013 |
| Has this bug been reported? K Liu, HBK Tan, M Chandramohan Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012 | 38 | 2012 |
| Accurate and scalable cross-architecture cross-os binary code search with emulation Y Xue, Z Xu, M Chandramohan, Y Liu IEEE Transactions on Software Engineering 45 (11), 1125-1149, 2018 | 36 | 2018 |
| graph2vec: Learning distributed representations of graphs. arXiv 2017 A Narayanan, M Chandramohan, R Venkatesan, L Chen, Y Liu, S Jaiswal arXiv preprint arXiv:1707.05005, 0 | 31 | |
| Application of multi-objective bee colony optimization algorithm to automated red teaming MYH Low, M Chandramohan, CS Choo Winter Simulation Conference (WSC), Proceedings of the 2009, 1798-1808, 2009 | 28 | 2009 |
| Autonomous bee colony optimization for multi-objective function F Zeng, J Decraene, MYH Low, P Hingston, C Wentong, Z Suiping, ... IEEE Congress on Evolutionary Computation, 1-8, 2010 | 22 | 2010 |
| Scalable Malware Clustering through Coarse-Grained Behavior Modeling M Chandramohan, HBK Tan, LK Shar Proceedings of the ACM SIGSOFT 20th International Symposium on the …, 2012 | 20 | 2012 |
| Evolvable simulations applied to Automated Red Teaming: A preliminary study J Decraene, M Chandramohan, MYH Low, CS Choo Winter Simulation Conference (WSC), Proceedings of the 2010, 1444-1455, 2010 | 19 | 2010 |
| ROPSentry: runtime defense against ROP attacks using hardware performance counters S Das, B Chen, M Chandramohan, Y Liu, W Zhang Computers & Security 73, 374-388, 2018 | 11 | 2018 |
Yang LiuNanyang Technological UniversityVerified email at ntu.edu.sg
