Dr Xiaogang Zhu
Lecturer
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Sean (Xiaogang) Zhu is currently a Lecturer focusing on software testing. He is interested in Fuzzing and other detection techniques. He has published papers on top-tier venues, such as USENIX, NDSS, CCS, ICSE, TDSC, TIFS and CSUR.
Contact me to discuss PhD opportunities.
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Journals
Year Citation 2024 Zhu, X., Zhang, S., Li, C., Wen, S., & Xiang, Y. (2024). Fuzzing Android Native System Libraries via Dynamic Data Dependency Graph. IEEE Transactions on Information Forensics and Security, 1.
2023 Peng, Z., Zhou, W., Zhu, X., Wu, Y., & Wen, S. (2023). On the security of fully homomorphic encryption for data privacy in Internet of Things. Concurrency and Computation: Practice and Experience, 35(19), 10 pages.
Scopus2 WoS32023 Feng, X., Zhu, X., Han, Q. L., Zhou, W., Wen, S., & Xiang, Y. (2023). Detecting Vulnerability on IoT Device Firmware: A Survey. IEEE/CAA Journal of Automatica Sinica, 10(1), 25-41.
Scopus33 WoS282022 Zhu, X., Wen, S., Camtepe, S., & Xiang, Y. (2022). Fuzzing: A Survey for Roadmap. ACM Computing Surveys, 54(11s), 1-36.
Scopus65 WoS492022 Zhu, X., Wen, S., Jolfaei, A., Haghighi, M. S., Camtepe, S., & Xiang, Y. (2022). Vulnerability Detection in SIoT Applications: A Fuzzing Method on their Binaries. IEEE Transactions on Network Science and Engineering, 9(3), 970-979.
Scopus4 WoS32022 Zhu, X., Feng, X., Meng, X., Wen, S., Camtepe, S., Xiang, Y., & Ren, K. (2022). CSI-Fuzz: Full-Speed Edge Tracing Using Coverage Sensitive Instrumentation. IEEE Transactions on Dependable and Secure Computing, 19(2), 912-923.
Scopus7 WoS62022 Li, H., He, D., Zhu, X., & Chan, S. (2022). P1OVD: Patch-Based 1-Day Out-of-Bounds Vulnerabilities Detection Tool for Downstream Binaries. Electronics (Switzerland), 11(2), 17 pages.
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Conference Papers
Year Citation 2023 Zhang, Y., Zhu, X., He, D., Xue, M., Ji, S., Haghighi, M. S., . . . Peng, Z. (2023). Detecting Union Type Confusion in Component Object Model. In 32nd USENIX Security Symposium, USENIX Security 2023 Vol. 6 (pp. 4265-4282). CA, Anaheim: USENIX ASSOC. 2022 Zhang, K., Xi, X., Zhu, X., Sun, R., Xue, M., & Wen, S. (2022). Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. In ICSE '22: Proceedings of the 44th International Conference on Software Engineering Vol. 2022-May (pp. 1658-1668). Pittsburgh, USA: ACM.
Scopus10 WoS12021 Feng, X., Sun, R., Zhu, X., Xue, M., Wen, S., Liu, D., . . . Xiang, Y. (2021). Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference. In Proceedings of the 28th ACM SIGSAC Conference on Computer and Communications Security (CCS 2021) (pp. 337-350). Virtual Online: Association for Computing Machinery.
Scopus41 WoS242021 Zhu, X., & Böhme, M. (2021). Regression Greybox Fuzzing. In Proceedings of the ACM Conference on Computer and Communications Security (pp. 2169-2182). ELECTR NETWORK: ASSOC COMPUTING MACHINERY.
Scopus27 WoS172020 Li, Y., Xiao, X., Zhu, X., Chen, X., Wen, S., & Zhang, B. (2020). SpeedNeuzz: Speed up neural program approximation with neighbor edge knowledge. In G. J. Wang, R. Ko, M. Z. A. Bhuiyan, & Y. Pan (Eds.), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 (pp. 450-457). PEOPLES R CHINA, Guangzhou: IEEE COMPUTER SOC.
Scopus2 WoS12019 Zhu, X., Feng, X., Jiao, T., Wen, S., Xiang, Y., Camtepe, S., & Xue, J. (2019). A Feature-oriented corpus for understanding, evaluating and improving fuzz testing. In AsiaCCS 2019 - Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security (pp. 658-663). NEW ZEALAND, Auckland: ASSOC COMPUTING MACHINERY.
Scopus9 WoS7
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