About Me

I am a 5th-year Computer Science Ph.D. candidate at the University of California, Riverside (UCR). I am lucky to be advised by Prof. Heng Yin.

Research Interest

My research interests focus on binary analysis and threat detection. I developed various program analysis techniques (e.g., dynamic taint analysis, concolic execution, hybrid fuzzing, memory analysis, etc.) to solve security-related problems, including vulnerability/gadget discovery, kernel rootkit detection, memory forensics, etc.

News

Dec/2021: Our work LogicMem was accepted to NDSS’22.
Oct/2021: Started my internship at Deepbits.
Jun/2021: First day of my research intern at Google!
Dec/2020: Our work SpecTaint is accepted to NDSS’21.
Jul/2020: Passed my Ph.D. candidacy exam!
Aug/2019: Our paper DECAF++ was accepted to RAID’19.
May/2019: Awarded the 2019-2020 Outstanding Teaching Assistant in CSE department.
Sep/2018: Started my Ph.D. career at University of California, Riverside.
Jun/2018: Obtained my bachelor degree of engineering from Xidian University.
Jul/2017: Attended University of California, Riverside as an exchange student.

Publications

  1. [NDSS’22] Zhenxiao Qi, Yu Qu, Heng Yin, LogicMem: Automatic Profile Generation for Binary-Only Memory Forensics via Logic Inference, to appear in the Network an Distributed system Security symposium, February 2022.
  2. [NDSS’21] Zhenxiao Qi, Qian Feng, Yueqiang Cheng, Mengjia Yan, Peng Li, Heng Yin, and Tao Wei, SpecTaint: Speculative Taint Analysis for Discovering Spectre Gadgets, to appear in the Network and Distributed System Security Symposium, February 2021.
  3. [RAID’19] Ali Davanian, Zhenxiao Qi, Yu Qu, and Heng Yin, DECAF++: Elastic Whole-System Dynamic Taint Analysis, in the 22nd International Symposium on Research in Attacks, Intrusions and Defenses, September 2019.

Professional Services