Mahinthan Chandramohan

31 papers A* 2A 3B 2Misc 2Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	From Benchmark Data To Applicable Program Repair: An Experience Report. CoRR Mahinthan Chandramohan, Jovan Jancic, Yuntong Zhang, Padmanabhan Krishnan
2025	J	`jnl`	Latent space refinement for unsupervised cyber threat text classification. Knowl. Based Syst. Yue Wang, Richi Nayak, Md. Abul Bashar, Mahinthan Chandramohan
2025	J	`jnl`	Streamlining Security Vulnerability Triage with Large Language Models. CoRR Mohammad Jalili Torkamani, Joey NG, Nikita Mehrotra, Mahinthan Chandramohan, Padmanabhan Krishnan, Rahul Purandare
2024	J	`jnl`	Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models. CoRR Mahinthan Chandramohan, Dai Quoc Nguyen, Padmanabhan Krishnan, Jovan Jancic
2023	J	`jnl`	Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell. Intell. Syst. Appl. Yue Wang, Md. Abul Bashar, Mahinthan Chandramohan, Richi Nayak
2021	J	`jnl`	Erratum to "Accurate and Scalable Cross-Architecture Cross-OS Binary Code Search With Emulation". IEEE Trans. Software Eng. Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, Yang Liu
2019	J	`jnl`	Accurate and Scalable Cross-Architecture Cross-OS Binary Code Search with Emulation. IEEE Trans. Software Eng. Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, Yang Liu
2018	J	`jnl`	A multi-view context-aware approach to Android malware detection and malicious code localization. Empir. Softw. Eng. Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
2018	J	`jnl`	ROPSentry: Runtime defense against ROP attacks using hardware performance counters. Comput. Secur. Sanjeev Das, Bihuan Chen, Mahinthan Chandramohan, Yang Liu, Wei Zhang
2018	—	`—`	Scalable analysis for malware and vulnerability detection in binaries Mahinthan Chandramohan
2017	J	`jnl`	A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization. CoRR Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
2017	J	`jnl`	Context-Aware, Adaptive, and Scalable Android Malware Detection Through Online Learning. IEEE Trans. Emerg. Top. Comput. Intell. Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
2017	J	`jnl`	Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version). CoRR Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
2017	A*	`conf`	SPAIN: security patch analysis for binaries towards understanding the pain and pills. ICSE Zhengzi Xu, Bihuan Chen, Mahinthan Chandramohan, Yang Liu, Fu Song
2017	—	`conf`	Steelix: program-state based binary fuzzing. ESEC/SIGSOFT FSE Yuekang Li, Bihuan Chen, Mahinthan Chandramohan, Shang-Wei Lin, Yang Liu, Alwen Tiu
2017	J	`jnl`	graph2vec: Learning Distributed Representations of Graphs. CoRR Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, Shantanu Jaiswal
2016	—	`conf`	BinGo: cross-architecture cross-OS binary search. SIGSOFT FSE Mahinthan Chandramohan, Yinxing Xue, Zhengzi Xu, Yang Liu, Chia Yuan Cho, Hee Beng Kuan Tan
2016	A	`conf`	Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. AsiaCCS Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu, Jie Zhang, Tieming Chen
2016	J	`jnl`	Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware. IEEE Trans. Inf. Forensics Secur. Sanjeev Das, Yang Liu, Wei Zhang, Mahinthan Chandramohan
2016	J	`jnl`	subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs. CoRR Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu, Santhoshkumar Saminathan
2015	B	`conf`	An Adaptive Markov Strategy for Effective Network Intrusion Detection. ICTAI Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu, Jun Sun
2015	A	`conf`	Detection and classification of malicious JavaScript via attack behavior modelling. ISSTA Yinxing Xue, Junjie Wang, Yang Liu, Hao Xiao, Jun Sun, Mahinthan Chandramohan
2013	A*	`conf`	A scalable approach for malware detection through bounded feature space behavior modeling. ASE Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C. Briand, Lwin Khin Shar, Bindu Madhavi Padmanabhuni
2012	—	`conf`	Detection of Buffer Overflow Vulnerabilities in C/C++ with Pattern Based Limited Symbolic Evaluation. COMPSAC Workshops Sun Ding, Hee Beng Kuan Tan, Kaiping Liu, Mahinthan Chandramohan, Hongyu Zhang
2012	J	`jnl`	Detection of Mobile Malware in the Wild. Computer Mahinthan Chandramohan, Hee Beng Kuan Tan
2012	—	`conf`	Has this bug been reported? SIGSOFT FSE Kaiping Liu, Hee Beng Kuan Tan, Mahinthan Chandramohan
2012	—	`conf`	Scalable malware clustering through coarse-grained behavior modeling. SIGSOFT FSE Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar
2011	A	`conf`	Evolutionary design of agent-based simulation experiments. AAMAS James Decraene, Yew Ti Lee, Fanchao Zeng, Mahinthan Chandramohan, Yong Yong Cheng, Malcolm Yoke Hean Low
2010	B	`conf`	Autonomous Bee Colony Optimization for multi-objective function. IEEE Congress on Evolutionary Computation Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Philip Hingston, Wentong Cai, Suiping Zhou, Mahinthan Chandramohan
2010	Misc	`conf`	Evolvable simulations applied to Automated Red Teaming: A preliminary study. WSC James Decraene, Mahinthan Chandramohan, Malcolm Yoke Hean Low, Chwee Seng Choo
2009	Misc	`conf`	Application of Multi-objective Bee Colony Optimization Algorithm to Automated Red Teaming. WSC Malcolm Yoke Hean Low, Mahinthan Chandramohan, Chwee Seng Choo