Xiaogang Zhu

Dr Xiaogang Zhu

Lecturer

School of Computer and Mathematical Sciences

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - 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.

  • 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, 19, 3733-3744.
    DOI
    2024 Ye, K., Zhu, X., Xiao, X., Wen, S., Xue, M., & Xiang, Y. (2024). <sc>BazzAFL</sc>: Moving Fuzzing Campaigns Towards Bugs Via Grouping Bug-Oriented Seeds. IEEE Transactions on Dependable and Secure Computing, 1-13.
    DOI
    2024 Tang, L., Wu, T., Chen, X., Wen, S., Zhou, W., Zhu, X., & Xiang, Y. (2024). How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse. Connection Science, 36(1).
    DOI Scopus2
    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.
    DOI Scopus3 WoS3
    2023 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.
    DOI Scopus48 WoS28
    2022 Zhu, X., Wen, S., Camtepe, S., & Xiang, Y. (2022). Fuzzing: A Survey for Roadmap. ACM Computing Surveys, 54(11s), 1-36.
    DOI Scopus118 WoS49
    2022 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.
    DOI Scopus4 WoS3
    2022 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.
    DOI Scopus11 WoS6
    2022 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), 260.
    DOI
    - Li, N., Qi, M., Xu, Z., Zhu, X., Zhou, W., Wen, S., & Xiang, Y. (n.d.). Blockchain Cross-Chain Bridge Security: Challenges, Solutions, and Future Outlook. Distributed Ledger Technologies: Research and Practice.
    DOI

  • Conference Papers
    Year Citation
    2024 Zhang, K., Zhu, X., Xiao, X., Xue, M., Zhang, C., & Wen, S. (2024). ShapFuzz: Efficient Fuzzing via Shapley-Guided Byte Selection. In Proceedings 2024 Network and Distributed System Security Symposium. Online: Internet Society.
    DOI
    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). Online: USENIX Association.
    Scopus1
    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.
    DOI Scopus15 WoS1
    2021 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.
    DOI Scopus70 WoS24
    2021 Zhu, X., & Böhme, M. (2021). Regression Greybox Fuzzing. In Proceedings of the ACM Conference on Computer and Communications Security (pp. 2169-2182). Republic of Korea: ASSOC COMPUTING MACHINERY.
    DOI Scopus44 WoS17
    2021 Li, Y., Xiao, X., Zhu, X., Chen, X., Wen, S., & Zhang, B. (2021). 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 Vol. 30 (pp. 450-457). PEOPLES R CHINA, Guangzhou: IEEE COMPUTER SOC.
    DOI Scopus3 WoS1
    2019 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 Vol. 5 (pp. 658-663). NEW ZEALAND, Auckland: ASSOC COMPUTING MACHINERY.
    DOI Scopus9 WoS7
  • Position: Lecturer
  • Phone: 83134129
  • Email: xiaogang.zhu@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor Level Four
  • Org Unit: School of Computer and Mathematical Sciences
Connect With Me
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