Research and classes

Research interests

Publications

• Exploiting machine learning to subvert your spam filter. Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D. Joseph, Benjamin I. P. Rubinstein, Udam Saini, Charles Sutton, J. D. Tygar, and Kai Xia. In Proceedings of the First Usenix Workshop on Large-Scale Exploits and Emergent Threats (LEET), April 2008. [BibTeX]
• Optimal ROC curve for a combination of classifiers. Marco Barreno, Alvaro A. Cárdenas, and J. D. Tygar. In Advances in Neural Information Processing Systems (NIPS) 20, 2008. [BibTeX]
• User model transfer for email virus detection. Marco Barreno, Blaine Nelson, Russell Sears, and Anthony D. Joseph. In Proceedings of the First Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SysML), June 2006. [BibTeX]
• Can machine learning be secure? Marco Barreno, Blaine Nelson, Russell Sears, Anthony D. Joseph, and J. D. Tygar. In Proceedings of the ACM Symposium on InformAtion, Computer, and Communications Security (ASIACCS'06), March 2006. (Invited paper) [BibTeX]
• Selfish caching in distributed systems: A game-theoretic analysis. Byung-Gon Chun, Kamalika Chaudhuri, Hoeteck Wee, Marco Barreno, Christos H. Papadimitriou, and John Kubiatowicz. In Proceedings of the ACM Symposium on Principles of Distributed Computing (PODC'04), July 2004. [BibTeX]
• The future of cryptography under quantum computers. Marco Barreno. Technical Report TR2002-425, Dartmouth College, Computer Science, 2002. Senior honors thesis. [BibTeX] [Dartmouth TR site]

Class research projects

• Extending LDA for Transfer Learning in Virus Detection, Fall 2005, CS 294-10: Transfer Learning
• Reasoning about Magic, Fall 2004, CS 289: Knowledge Representation and Reasoning
• Program obfuscation, Spring 2004, CS 276: Cryptography
• Spectral clustering for images, Spring 2004, CS 281b: Advanced Topics in Learning and Decision Making
• Earlybird, Fall 2003, CS 281a: Statistical Learning Theory
• Caching game, Fall 2003, CS 294: Peer-to-Peer Systems
• RARS, Spring 2003, CS 294Q Reinforcement Learning
• RL in NMDPs, Spring 2003, CS 270: Combinatorial Algorithms and Data Structures
• Watch the Watchers, Fall 2002, CS 294: Privacy
• Netcache, Fall 2002, CS 262a: Advanced Topics in Computer Systems
• KBAccess, Fall 2002, CS 294: Neural Theory of Language