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Shoalhaven -Arthur Boyd, 1983

BEN RUBINSTEIN

 PUBLICATIONS

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[13] Open Problems in the Security of Learning. [PDF] [SecML project]
Marco Barreno, Peter L. Bartlett, Fuching Jack Chi, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, Udam Saini and J. D. Tygar.
The First ACM Workshop on AISec, accepted, 2008.
[12] Evading Anomaly Detection through Variance Injection Attacks on PCA (Extended Abstract). [PDF] [SecML project]
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft and J. D. Tygar.
11th International Symposium on Recent Advances in Intrusion Detection (RAID 2008), pp. 394-395, 2008.
Winner of the RAID08 Best Poster Award.
[11] Shifting: One-Inclusion Mistake Bounds and Sample Compression. [PDF] [journal link] [Compression project]
Benjamin I. P. Rubinstein, Peter L. Bartlett and J. Hyam Rubinstein.
Journal of Computer and System Sciences, Special Issue on Learning Theory 2006, invited paper in press, 2008.
[10] Geometric & Topological Representations of Maximum Classes with Applications to Sample Compression. [PDF] [Compression project]
Benjamin I. P. Rubinstein and J. Hyam Rubinstein.
21st Annual Conference on Learning Theory (COLT'08), pp. 299-310, 2008.
[9] Compromising PCA-based Anomaly Detectors for Network-Wide Traffic. [PDF] [Web] [SecML project]
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft and Doug Tygar.
EECS Department, University of California, Berkeley, Technical Report No. UCB/EECS-2008-73, May 29, 2008.
[8] Exploiting Machine Learning to Subvert Your Spam Filter. [PDF] [SecML project]
Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D. Joseph, Benjamin I. P. Rubinstein, Udam Saini, Charles Sutton, J. D. Tygar and Kai Xia.
First USENIX Workshop on Large-scale Exploits and Emergent Threats (LEET'08), 2008.
[7] Shifting: One-Inclusion Mistake Bounds and Sample Compression. [PDF] [Web] [Compression project]
Benjamin I. P. Rubinstein, Peter L. Bartlett and J. Hyam Rubinstein.
EECS Department, University of California, Berkeley, Technical Report No. UCB/EECS-2007-86, June 25, 2007.
[6] Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds. [PDF] [Compression project]
Benjamin I. P. Rubinstein, Peter L. Bartlett and J. Hyam Rubinstein
Advances in Neural Information Processing Systems 19, pp. 1193-1200, 2007.
[5] Proceedings of the Second Australian Undergraduate Students' Computing Conference. [Web]
Gad Abraham and Benjamin I. P. Rubinstein (eds).
AUSCC, Australia, ISBN 0-9757173-0-8, 175 pages, December 2004.
[4] Machine Learning in Low-level Microarray Analysis. [PDF] [Microarray project]
Benjamin I. P. Rubinstein, Jon McAuliffe, Simon Cawley, Marimuthu Palaniswami, Kotagiri Ramamohanarao and Terence P. Speed.
ACM SIGKDD Explorations (Special Issue on Microarray Data Mining), position paper, 5(2), pp. 130-139, December 2003.
[3] Proceedings of the First Australian Undergraduate Students' Computing Conference. [Web]
Benjamin I. P. Rubinstein, Nelson Chan, and Kalyanaraman K. Kshetrapalapuram (eds).
AUSCC, Australia, ISBN 0-646-42751-2, 126 pages, September 2003.
[2] Evolving Quantum Circuits using Genetic Programming. [PDF] [QuantumGP project]
Benjamin I. P. Rubinstein.
Proceedings of the 2001 IEEE Congress on Evolutionary Computation (CEC2001), IEEE Press, pp. 114-121, 2001.
Winner of the IEEE Computer Society's Lance Stafford Larson Scholarship 2002 for Best Undergraduate Computer Science Paper World-wide.
[1] Evolving Quantum Circuits using Genetic Programming. [PDF] [QuantumGP project]
Benjamin I. P. Rubinstein.
Genetic Algorithms and Genetic Programming at Stanford 2000, edited by J. R. Koza, pp. 325-334, Stanford Bookstore, Stanford University, CA, 2000.


Maintained by: Ben Rubinstein
Last updated: Thu Sep 18 10:19:14 PDT 2008