Francis Hsu
Research
I'm interested in practical and usable systems that improve an end user's security. Application areas of interest include malware defense, malicious web content, electronic voting, and authentication.
Publications
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An Analysis of the Hart InterCivic DAU eSlate
Elliot Proebstel, Sean Riddle, Francis Hsu, Justin Cummins, Freddie Oakley, Tom Stanionis, Matt Bishop.
2007 USENIX/ACCURATE Electronic Voting Technology Workshop
Boston, MA, August 2007.
[PDF]
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Input validation of client-server web applications through static analysis
Francis Hsu.
Web 2.0 Security and Privacy 2007 Workshop,
Oakland, CA, May 2007.
[PDF]
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A Framework for Diversifying Windows Native APIs to Tolerate Code
Injection Attacks.
Lynette Qu Nguyen, Tufan Demir, Jeff Rowe, Francis Hsu, Karl
Levitt.
Proceedings of the 2007 ACM Symposium on InformAtion,
Computer, and Communications Security (ASIACCS 2007),
Singapore, March 2007.
[PDF]
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A Quantitative Study of Forum Spamming Using Context-based Analysis.
Yuan Niu, Yi-min Wang, Hao Chen, Ming Ma, Francis Hsu.
Proceedings of the 14th Annual Network and Distributed System Security Symposium (NDSS 2007),
San Diego, CA, February 2007.
[PDF]
-
Back to the Future: A Framework for Automatic Malware Removal and
System Repair.
Francis Hsu, Hao Chen, Thomas Ristenpart, Jason Li, and Zhendong
Su.
Proceedings of the 2006 Annual Computer Security Applications
Conference (ACSAC 22),
Miami Beach, FL, December 2006.
[PDF]
Teaching
I've been a Teaching Assistant for the following courses at Davis.
- ECS 40 Introduction to Software Development (Fall 2004)
- ECS 142 Compilers (Winter 2005)
- ECS 145 Scripting Languages (Spring 2005)
- ECS 235 Computer Security - Graduate (Fall 2005)
Bio
I'm a graduate student in the
Computer Security Lab (SecLab) at UC Davis, advised by Prof. Hao Chen. I graduated from
UC Berkeley with a BS in EECS. I've been associated
with the following acronyms at some point in my life:
GSA,
WiCS,
HKN,
UCSEE,
TBP, and
SWE.
If I ever have questions about AI, I count on the
oracle of machine learning
for enlightenment.