Zizhuang Deng

Zizhuang Deng

PhD Candidate of Cyberspace Security

SKLOIS, Institute of Information Engineering, Chinese Academy of Sciences


Zizhuang Deng is a PhD candidate at the Institute of Information Engineering, Chinese Academy of Sciences. He is supervised by Prof. Kai Chen and Prof. Guozhu Meng. His research interests include deep learning apps and system security, fuzzing and reversing. His research has been published at top-tier security conferences such as ACM CCS 2022 and USENIX Security 2020/2023.

News! I am currently in the job market and will graduate in June 2024.

  • Reverse Engineering
  • Program Analysis
  • Deep Learning System
  • PhD in Cyberspace Security, 2018-2024

    University of Chinese Academy of Sciences

  • BSc in Information Security, 2014-2018

    Xidian University

Recent Publications

(2023). Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities. In USENIX Security 23.

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(2022). Understanding real-world threats to deep learning models in Android apps. In ACM CCS 2022.

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(2020). FuzzGuard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning. In USENIX security 20.

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