Zhenpeng Lin
AI Security Researcher at depthfirst
United States
Summary
👤
Senior🎓
Top SchoolZhenpeng Lin is an AI security researcher with a Ph.D. in computer security and a decade of hands-on experience securing kernels, fuzzing systems, and hardening large-scale consumer apps. He has published repeatedly at top venues (multiple USENIX Security and ACM CCS papers) and has driven applied research at Apple and other industry labs before moving into AI security roles. A prolific practitioner as well as researcher, he contributes to notable open-source tooling such as the angr binary-analysis platform, where he improved AIL handling and structuring to simplify and optimize binary analysis. Comfortable bridging deep systems security and practical engineering, he has a track record of finding subtle, high-impact vulnerabilities across kernels, mobile apps, and AI systems.
10 years of coding experience
4 years of employment as a software developer
Master student Cybersecurity, Master student Cybersecurity at Wuhan UniversityMaster's degree Computer Security, Master's degree Computer Security at Penn State UniversityBachelor's degree Cybersecurity, Bachelor's degree Cybersecurity at Xidian UniversityDoctor of Philosophy - PhD Computer Security, Doctor of Philosophy - PhD Computer Security at Northwestern University
Github Skills (9)
python10
binarydiff10
angr10
optimization9
decompilation9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (6)
Github contributions (5)
angr/angr
Jun 2019 - Nov 2019
A powerful and user-friendly binary analysis platform!
Role in this project:
Backend Developer
Backend DeveloperContributions:5 commits, 5 PRs, 3 comments in 4 months
Contributions summary:Zhenpeng contributed to the `angr` project, a binary analysis platform, by enhancing the AIL engine with new handlers for binary operations. The user focused on improving the structurer, addressing errors to aid in conditional jump removal. Additionally, the user worked on simplifying arithmetic operations and removing temporary variables within AIL statements, further optimizing the analysis process.
pythonbinary-analysisanalysisuser-friendlyangr
Markakd/LLVM-O0-BitcodeWriter
Feb 2020 - Feb 2022
Contributions:7 commits, 4 pushes in 2 years
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