Vector Guo Li

gul027@eng.ucsd.edu

University of California, San Diego

About Me


I am a fifth year Computer Science Ph.D. student from UC San Diego, advised by Kirill Levchenko and Stefan Savage. I am broadly interested in Security and System research. My past work includes threat intelligence, de-compilation, program analysis and reverse-engineering.

My current research focuses on cyber threat intelligence, where we analyze the data characteristic, how it has been used, and its operational value.
I am also very interested in reverse-engineering. I have reverse-engineered Volkswagen diesel engine firmware and uncovered the emission cheating logic. I also reverse-engineered Cerber Ransomware and uncovered its payment URL generation method.

Publication



Reading the Tea Leaves: A Comparative Analysis of Threat Intelligence
Vector G. Li, Matthew Dunn, Paul Pearce, Damon McCoy, Geoffrey M. Voelker, Stefan Savage, Kirill Levchenko
Proceedings of the USENIX Security Symposium (Usenix). 2019.
[paper]

Tracking Ransomware End-to-End
Danny Y. Huang, Maxwell M. Aliapoulios, Vector G. Li, Luca Invernizzi, Elie Bursztein, Kylie McRoberts, Jonathan Levin, Kirill Levchenko, Alex C. Snoeren, Damon McCoy.
IEEE Security and Privacy Conference (S&P). 2018.
[paper]

How They Did It: An Analysis of Emission Defeat Devices in Modern Automobiles
Moritz Contag, Vector G. Li, Andre Pawlowski, Felix Domke, Kirill Levchenko, Thorsten Holz, Stefan Savage
IEEE Security and Privacy Conference (S&P). 2017.
[paper]

Misc



UCSD CSE Drone Video


Project Name


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Lorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.

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Lorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.

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Lorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.

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