Biography

Zizhuang Deng, a Research Associate in the School of Cyber Science and Technology, Shandong University. He has got his PhD at the Institute of Information Engineering, Chinese Academy of Sciences. He was supervised by Prof. Kai Chen and Prof. Guozhu Meng. His research interests include deep learning system and software security, fuzzing and reversing. His research has been published at top-tier security conferences such as ACM CCS 22/24 and USENIX Security 23/20.

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Interests
  • Reverse Engineering
  • Program Analysis
  • Deep learning System and Security
Education

  • PhD in Cyberspace Security, 2018-2024

    University of Chinese Academy of Sciences

  • BSc in Information Security, 2014-2018

    Xidian University

Recent Publications

Zizhuang Deng, Guozhu Meng, Kai Chen, Tong Liu, Lu Xiang, and Chunyang Chen (2023). Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities. In USENIX Security 23.

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Zizhuang Deng, Kai Chen, Guozhu Meng, Xiaodong Zhang, Ke Xu, and Yao Cheng (2022). Understanding real-world threats to deep learning models in Android apps. In ACM CCS 2022.

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Peiyuan Zong, Tao Lv, Dawei Wang, Zizhuang Deng, Ruigang Liang, and Kai Chen (2020). FuzzGuard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning. In USENIX security 20.

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Contact

If you have any questions or would like to exchange ideas, please feel free to contact me. Thank you :)