M. S. Anwar, C. Yagemann and Z. Lin, "VerDiff: Vulnerability Presence Verification for Comprehensive Reporting Using Constraint Programming," 2025 IEEE Annual Computer Security Applications Conference (ACSAC), Honolulu, HI, USA, 2025, pp. 77-91, doi: 10.1109/ACSAC67867.2025.00022.
M. S. Anwar, C. Yagemann and Z. Lin, "GoSonar: Detecting Logical Vulnerabilities in Memory Safe Language Using Inductive Constraint Reasoning," in 2025 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2025, pp. 43-43, doi: 10.1109/SP61157.2025.00043.
Md Sakib Anwar, Chaoshun Zuo, Carter Yagemann, and Zhiqiang Lin. 2023. Extracting Threat Intelligence From Cheat Binaries For Anti-Cheating. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 23). Association for Computing Machinery, New York, NY, USA, 17-31. https://doi.org/10.1145/3607199.3607211
M. S. Anwar, F. Hossain, N. Mehajabin, M. Mamun-Or-Rashid and M. A. Razzaque, "A Comparative Study on Gaussian Process Regression-based Indoor Positioning Systems," 2018 International Conference on Innovation in Engineering and Technology (ICIET), Dhaka, Bangladesh, 2018, pp. 1-5, doi: 10.1109/CIET.2018.8660860. keywords: {Ground penetrating radar;Artificial neural networks;Predictive models;Gaussian processes;IP networks;Data models;Indoor Positioning System;Gaussian Process Regression;Neural Network;Fingerprinting},