Timothy R. Leek

Werther, J., Zhivich, M., Leek, T., Zeldovich, N., Experiences in Cyber Security Education: The MIT Lincoln Laboratory Capture-the-Flag Exercise, Workshop on Cyber Security Evaluation and Test, San Francisco, CA, August 8, 2011.
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Dolan-Gavitt, B., Leek, T., Zhivich, M., Giffin, J., Wenke, L. Virtuoso: Narrowing the Semantic Gap in Virtual Machine Introspection, IEEE Symposium on Security & Privacy, Oakland, CA, May 22, 2011.
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Ganesh, V., Leek, T., Rinard, M., Taint-based Directed Whitebox Fuzzing, International Conference on Software Engineering, Vancouver, Canada. May 16-24, 2009.
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Leek, T.R., Baker, G.Z., Brown, R.E., Zhivich, M.A., Lippman, R.P., Coverage Maximization using Dynamic Taint Tracing. MIT Lincoln Laboratory TR-1112, March 2007.
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Zhivich, M. A., Leek, T., Lippmann, R. P. Dynamic Buffer Overflow Detection Tools. Workshop on Defining the State of the Art in Software Security Tools, Gaithersburg, MD, August 10, 2005.
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Zhivich, M. A., Leek, T., Lippmann, R. P. Dynamic Buffer Overflow Detection. Workshop on the Evaluation of Software Defect Detection Tools, Chicago, IL, June 12, 2005.
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Zitser, M., Lippmann, R. P., and Leek, T., Testing Static Analysis Tools Using Exploitable Buffer Overflows From Open Source Code, Proceedings ACM Sigsoft 2004/FSE Foundations of Software Engineering Conference, 2004.
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Leek, T., Lippmann, R., Zitser, M. Testing Static Analysis Tools Using Exploitable Buffer Overflows From Open-Source Code. Foundations of Software Engineering, Newport Beach, CA, 31 October - 5 November 2004.
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Sista, S., Schwartz, R., Leek, T., and Makhoul, J., An Algorithm for Unsupervised Topic Discovery from Broadcast News Stories. to appear in Proceedings of HLT2002, San Diego, California, 2002.

Leek, T., Schwartz, R., Sista, S., Probabilistic Approaches to Topic Detection and Tracking, book chapter in Topic Detection and Tracking: Event-based Information Organization. Kluwer Academic, 2002.

Schwartz, R., Sista, S., and Leek, T., Unsupervised Topic Discovery. Proceedings of Workshop on Language Modeling and Information Retrieval, Pittsburgh, Pennsylvania, 2001, pp. 72-77.

Leek, T., Sista, S., Schwartz, R., The BBN Crosslingual Topic Detection and Tracking System, in Proceedings of the Topic Detection and Tracking Workshop, 2000.

Makhoul, J., Kubala, F., Leek, T., Liu, D., Nguyen, L., Schwartz, R., Srivastava, A., Speech and Language Technologies for Audio Indexing and Retrieval, invited paper in Proceedings of the IEEE, Vol. 88, No. 8., 2000.

Miller, D., Leek, T., Schwartz, R., A Hidden Markov Model Information Retrieval System. in Proceedings of the ACM SIGIR, 1999.

Miller, D., Leek, T., Schwartz, R., BBN at TREC7: Hidden Markov Models for Information Retrieval, in NIST Special Publication 500-242: The Seventh Text Retrieval Conference (TREC-7), 1998.

Kubala, F., Davenport, J., Jin. H., Liu, D., Leek, T., Matsoukas, S., Miller, D., Nguyen, L., Richardson, F., Schwartz, R., and Makhoul, J., The 1997 BBN Byblos System Applied to Broadcast News Transcription. in Proceedings of DARPA Broadcast News Transcription and Understanding Workshop. 1998.

Leek, T., Information Extraction Using Hidden Markov Models. Master's of Science Thesis, University of California, San Diego, 1997.

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