Zhengjie Ji

Ph.D. Student at Virginia Tech Department of Computer Science Blacksburg, VA About: CV Email LinkedIn Google Scholar

Biography

I am a Ph.D. student in the Computer Science Department at Virginia Tech, advised by Prof. Dan Williams. My research focuses on operating systems, with an emphasis on extended Berkeley Packet Filter (eBPF) and verification techniques. Currently, I am working on generalizing the eBPF verifier to enhance the reliability and correctness of operating system components.

Awards

• Bitshares Fellowship, 2023

• CCI SWVA Cyber Innovation Scholarship, 2023

• KTH Covid-19 Financial Aid Scholarship, KTH Royal Institute of Technology, 2021

• Hattrick Award, KTH Royal Institute of Technology, 2020

Professional Services

• [TDSC’23] External Reviewer, IEEE Transactions on Dependable and Secure Computing, 2023

• [CCS’23] External Reviewer, ACM Conference on Computer and Communications Security, 2023

• [CCS’22] Volunteer, ACM Conference on Computer and Communications Security, 2022

Teaching Experience

• Teaching Assistant, Virginia Tech, CS2114 Software Design and Data Structures, 2024

• Teaching Assistant, Virginia Tech, CS5560 Fundamentals of Info Security, 2024

• Teaching Assistant, Virginia Tech, CS5594 Blockchain Technologies, 2023

• Teaching Assistant, Shanghai Jiao Tong University, VE492 Intro to Artificial Intelligence, 2021

Education

• Ph.D. in Computer Science, Virginia Tech, 2022 - present

• M.S. in Computer Science and Engineering, KTH Royal Institute of Technology, 2020 - 2023

• B.E. in Electrical and Computer Engineering, Shanghai Jiao Tong University, 2017 - 2021

Publications

• Eliminating eBPF Tracing Overhead on Untraced Processes
  

  Milo Craun, Khizar Hussain, Uddhav Gautam, Zhengjie Ji, Tanuj Rao, Dan Williams. Workshop on eBPF and Kernel Extensions, 2024.

• How well does LLM generate security tests?

  Ying Zhang, Wenjia Song, Zhengjie Ji, Daphne Yao, Na Meng. CoRR arXiv, 2023.

• PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models

  Myeongseob Ko, Xinyu Yang, Zhengjie Ji, Hoang Anh Just, Peng Gao, Anoop Kumar, Ruoxi Jia. International Symposium on Research in Attacks, Intrusions and Defenses, 2023.

• Poster: ThreatKG - A System for Automated Cyber Threat Knowledge Gathering and Management

  Zhengjie Ji, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Dawn Song, Peng Gao. IEEE Symposium on Security and Privacy, 2023.

• ThreatKG: A System for Automated Open-Source Cyber Threat Knowledge Gathering and Management

  Peng Gao, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Zhengjie Ji, Zilin Zhang, Dawn Song. CoRR arXiv, 2022.

• A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition

  Zhengjie Ji, Edward Choi, Peng Gao. IEEE International Conference on Data Engineering Demo Track, 2022.