Conference Paper

1. Zaman, M. M. U., Sun, X., & Yao, J. (2025). Sky of Unlearning (SoUL): Rewiring Federated Machine Unlearning via Selective Pruning. (IEEE International Conference on Communication ICC, 2025)

2. Tao, L., Chen, L., Xu, L., Shi, W., Zaman, M., & Sunny, A. Bribery in Elections with Randomly Selected Voters: Hardness and Algorithm (2025). (Theoretical Computer Science).

3. Tao, L., Chen, L., Xu, L., Shi, W., Sunny, A., & Zaman, M. (2022, May). How Hard is Bribery in Elections with Randomly Selected Voters? In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022 (pp. 1265-1273).  (A* rank)

4.  Zaman, M.. et al. (2023). Optimally Blending Honeypots into Production Networks: Hardness and Algorithms. Science of Cyber Security . SciSec 2023. Lecture Notes in Computer Science, vol 14299. Springer.

5. Wu, X, Zaman, M., Xu, S.,  Chen, L. (2024). Attack-tolerance in Computational Election Control: Concept, Hardness and Algorithm. (submitted in the International Joint Conference on Artificial Intelligence, IJCAI 2024. (ongoing paper)

Presentation

1. Optimally Blending Honeypots into Production Networks: Hardness and Algorithm. (Accepted in Proceedings of The 5th International Conference on Science of Cyber Security (SciSec 2023) will be held 11-14 July 2023 in Melbourne, Australia)

Patent

1. “A method for efficiently simulating conveyor cycles and overcycles on large production samples of vehicles on a vehicle general assembly floor”. (United States patent application P104022-PRI-NP-US01)