I have worked broadly in many foundational areas of machine learning; I have also worked on many realworld applications to problems in computer systems and security. A complete list of publications is here. Below are some representative papers organized by topic.


Applications 
S. Hill, Z. Zhou, L. Saul, and H. Shacham (2016). On the (in)effectiveness of mosaicing and blurring as tools for document redaction. In Proceedings of the 16th Privacy Enhancing Technologies Symposium(PETS16), pages 404418. Darmstadt, Germany.
S. Liu, I. Foster, S. Savage, G. M. Voelker, and L. K. Saul (2015). Who is .com? Learning to parse WHOIS records. In Proceedings of the ACM Internet Measurement Conference (IMC15), pages 369380. Tokyo, Japan.
M. F. Der, L. K. Saul, S. Savage, and G. M. Voelker (2014).
Knock it off: profiling the online storefronts of counterfeit merchandise. In Proceedings of the Twentieth ACM Conference on Knowledge Discovery and Data Mining (KDD14), pages 17591768.
New York, NY.

J. T. Ma, L. K. Saul, S. Savage, and G. M. Voelker (2011).
Learning to detect malicious URLs.
ACM Transactions on Intelligent Systems and Technology 2(3),
pages 30:124.


Manifold learning and high dimensional data analysis 

V. Mahadevan, C.W. Wong, T. T. Liu, N. Vasconcelos and L. K. Saul (2011).
Maximum covariance unfolding: manifold learning for bimodal data.
In J. ShaweTaylor, R.S. Zemel, P. Bartlett, F. C. N. Pereira, and Culotta (eds.), Advances in Neural Information Processing Systems 24, pages 918926. Granada, Spain.
K. Q. Weinberger and L. K. Saul (2006).
An introduction to nonlinear dimensionality reduction by maximum variance unfolding.
In Proceedings of the Twenty First National Conference on
Artificial Intelligence (AAAI06), pages 16831686. Boston, MA.
S. T. Roweis and L. K. Saul (2000).
Nonlinear dimensionality reduction by locally linear embedding.
Science 290: 23232326.


Variational inference 


Distance metric learning 


Kernel methods 
Y. Cho and L. K. Saul (2009).
Kernel methods for deep learning. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, and A. Culotta (eds.), Advances in Neural Information Processing Systems 22, pages 342350.
K. Q. Weinberger, F. Sha, and L. K. Saul (2004).
Learning a kernel matrix for nonlinear dimensionality reduction.
In Proceedings of the Twenty First International Confernence on Machine Learning
(ICML04), pages 839846. Banff, Canada.


Statistical physics 
L. K. Saul and M. Kardar (1993).
Exact integer algorithm for the 2d ±J Ising spin glass.
Physical Review E 48:R32213224.
L. K. Saul, M. Kardar, and N. Read (1992).
Directed waves in random media.
Physical Review A 45: 88598869.
