Publication
Publication
Selected Publications:
(* Students that I advised are underlined.)
Zhang, Z., Wu, L., Zeng, Z., and Gu, Z., 2025. Saliency-Guided Lightweight Backdoor Defense for Edge Intelligence. In SEC'25.
Wu,L., Zeng,Z., Gu, Z., and Wu, P., 2025. How Heavy is the Edge? Resource Utilization of Edge Generative AI on Distributed AI Infrastructure. In SEC'25.
Taveira,G., Zhang, Z., Zeng, Z. and Gu, Z., 2025. Poster: A Lightweight Pruning for Mitigating Neural Network Backdoor on Edge. In The Tenth ACM/IEEE Symposium on Edge Computing (SEC'25)
Van Bossuyt, D. L., Allaire, D., Bickford, J. F., Bozada, T. A., Chen, W. W., Cutitta, R. P., ... & Zeng, Z.,2025. The Future of Digital Twin Research and Development. Journal of Computing and Information Science in Engineering, 25(8). [pdf]
Liao, P.Y., Gong, D.C. and Zeng, Z., 2024. Enhancing Order Fulfillment Through Production Process Reengineering Using Manufacturing Execution System as a Reference Model. IEEE Access.[pdf]
Zhang, Z., Elsharef, I., Zeng, Z., 2024. Unveiling Neural Network Data Free Backdoor Threats in Industrial Control Systems, In CCS'24/RICCS. [pdf]
Zeng, Z., Chung, C., Xie, L., 2024. The Development of A Large-Scale Cloud Emulator, In 2024 IEEE International Conference on Cloud Engineering (IC2E), Sept. 2024, Paphos, Cyprus.[pdf]
Elsharef, I., Zeng, Z., Gu, Z, 2024. Facilitating Threat Modeling by Leveraging Large Language Models, In The NSSS'24/AISCC. [pdf]
Zeng, Z., Huang, D., Xue, G., Deng, Y., Vadnere, N. and Xie, L., 2023. ILLATION: Improving Vulnerability Risk Prioritization By Learning From Network. IEEE Transactions on Dependable and Secure Computing (TDSC). [pdf]
Zeng, Z., Chung, C. J., & Xie, L. 2022, April. Security Challenges for Modern Data Centers with IoT: A Preliminary Study. In Companion Proceedings of the Web Conference 2022. [pdf]
Zeng, Z., Yang, Z., Huang, D., & Chung, C. J. 2021. LICALITY—Likelihood and Criticality: Vulnerability Risk Prioritization Through Logical Reasoning and Deep Learning. IEEE Transactions on Network and Service Management (TNSM). [pdf]
Deng, Y., Zeng, Z., & Huang, D. 2021, June. Neocyberkg: Enhancing cybersecurity laboratories with a machine learning-enabled knowledge graph. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE).
Zeng, Z., Deng, Y., Hsiao, I., Huang, D., & Chung, C. J. 2018, October. Improving student learning performance in a virtual hands-on lab system in cybersecurity education. In 2018 IEEE Frontiers in Education Conference (FIE).
Deng, Y., Lu, D., Chung, C. J., Huang, D., & Zeng, Z. 2018, October. Personalized learning in a virtual hands-on lab platform for computer science education. In 2018 IEEE Frontiers in Education Conference (FIE).
Zeng, Z., Deng, Y., Hsiao, S., Huang, D., & Chung, C. J. 2018, February. Conceptualizing Student Engagement in Virtual Hands-on Lab: Preliminary Findings from a Computer Network Security Course. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE).
"Boosting Cybersecurity Through Threat Intelligence: Leveraging Neurosymbolic AI for Risk-based Vulnerability Prioritization", invited to talk at the American Mathematical Society (AMS) Spring Central Sectional Meeting Special Session on Mathematical Aspects of Cryptography and Cybersecurity, Milwaukee, WI, April 2024. Link
“Mitigating the Risks of Cybersecurity Threats to the Transportation System”, invited to talk at the 2023 Southeast Wisconsin Transportation Symposium, Milwaukee, WI, Oct. 2023. Link
“Risk-based Vulnerability Management for Cloud Networks – A Proof of Concept on Vulnerability Prioritization Model”, in the Linux Foundation Open Networking & Edge (ONE) Summit, Seattle, WA, Nov. 2022.