I’m Chang Zhu - a fourth year Ph.D. student at Arizona State University. I currently work at the SEFCOM Lab under the supervision of Dr. Ruoyu(Fish) Wang, Dr. Yan Shoshitaishvili, Dr. Adam Doupé and Dr. Tiffany Bao.

My research interests focuses on reverse engineering, machine learning and analyzing security issues in a wide range of topics.

My CV can be found here.

Education

Ph.D. in Computer Science, Arizona State University, 2026 (expected)

Publications

• Toss a fault to your witcher: Applying grey-box coverage-guided mutational fuzzing to detect sql and command injection vulnerabilities
  Erik Trickel, Fabio Pagani, Chang Zhu, Lukas Dresel, Giovanni Vigna, Christopher Kruegel, Ruoyu Wang, Tiffany Bao, Yan Shoshitaishvili, Adam Doupé
  Proceedings of the 44th IEEE Symposium on Security and Privacy (S&P), San Francisco, CA, May 22‑25, 2023.
  [Paper]

• TYGR: Type Inference on Stripped Binaries using Graph Neural Networks
  Chang Zhu*, Ziyang Li*, Anton Xue, Ati Priya Bajaj, William Gibbs, Yibo Liu, Hanjun Dai, Mayur Naik, Rajeev Alur, Tiffany Bao, Adam Doupé, Yan Shoshitaishvili, Ruoyu Wang, Aravind Machiry
  Proceedings of the 33th USENIX Security Symposium, Philadelphia, PA, August 14-16, 2024.
  * equal contribution
  [Paper]

• Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing
  Arvind S Raj, Wil Gibbs, Fangzhou Dong, Jayakrishna Menon Vadayath, Michael Tompkins, Steven Wirsz, Yibo Liu, Zhenghao Hu, Chang Zhu, Gokul Krishna, Brendan Dolan-Gavitt, Adam Doupé, Yan Shoshitaishvili, Ruoyu Wang, Tiffany Bao
  Proceedings of the 30th ACM Conference on Computer and Communications Security, Salt Lake City, USA, October 14-18, 2024.
  [Paper]