Blaine Nelson's Homepage
Current Research:
I'm currently working with Anthony Joseph to use statistical
machine learning techniques in security sensitive environments that
could benefit from adaptive automated techniques; in particular, the
crux of this research focuses on identifying virus email traffic. The
following are my current research interests:
Security in machine learning:
studying the effect a
malicious user can have on statistical learning techniques used in
security related environments.
- Blaine Nelson, and Anthony D. Joseph, Bounding
an Attack's Complexity for a Simple Learning Model , In
the Proceedings of the First Workshop on Tackling Computer Systems
Problems
with Machine Learning Techniques (SysML) , Saint-Malo,
France, June, 2006. pdf
- Marco Barreno, Blaine Nelson, Russell Sears, Anthony D.
Joseph, and J. D. Tygar, Can Machine Learning Be Secure?
(Invited paper) , In the Proceedings of the
ACM Symposium on InformAtion, Computer and Communications Security
(ASIACCS'06) , Taipei, Taiwan, March, 2006. pdf
SAT-based DTP
Clustering with Pairwise Constraints
Adaptive Protection Environment
using machine learning
techniques to identify viruses in email traffic.
- Marco Barreno, Blaine Nelson, Russell Sears, and Anthony D.
Joseph, User Model Transfer for Email Virus Detection,
In the Proceedings of the First Workshop on Tackling
Computer Systems Problems with Machine Learning Techniques (SysML),
Saint-Malo, France, June, 2006. pdf
- Steven Martin, Anil Sewani, Blaine Nelson, Karl Chen, and
Anthony D. Joseph, Analyzing Behavioral Features for
Email Classification, In the Proceedings of
the IEEE Second Conference on Email and Anti-Spam (CEAS 2005),
July, 2005. pdf
Duke Landmine Detection project