Zizhuang Deng
PhD Candidate of Cyberspace Security
SKLOIS, Institute of Information Engineering, Chinese Academy of Sciences
Biography
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.
Interests
- Reverse Engineering
- Program Analysis
- Deep Learning System
Education
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.
(2022).
Understanding real-world threats to deep learning models in Android apps.
In ACM CCS 2022.
(2020).
FuzzGuard: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning.
In USENIX security 20.
Contact
If you have any questions or would like to exchange ideas, please feel free to contact me. Thank you :)