Benjamin I. P. Rubinstein

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2012
19A Learning-Based Approach to Reactive Security. Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett. IEEE Trans. Dependable Sec. Comput. (9): 482-493 (2012). Web SearchBibTeXDownload
18A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration. Bo Zhao, Benjamin I. P. Rubinstein, Jim Gemmell, Jiawei Han. PVLDB (5): 550-561 (2012). Web SearchBibTeXDownload
2011
17Adversarial machine learning. Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar. AISec 2011, 43-58. Web SearchBibTeXDownload
16How Open Should Open Source Be?. Adam Barth, Saung Li, Benjamin I. P. Rubinstein, Dawn Song. CoRR (abs/1109.0507) (2011). Web SearchBibTeXDownload
15Improving Entity Resolution with Global Constraints. Jim Gemmell, Benjamin I. P. Rubinstein, Ashok K. Chandra. CoRR (abs/1108.6016) (2011). Web SearchBibTeXDownload
14Link Prediction by De-anonymization: How We Won the Kaggle Social Network Challenge. Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein. CoRR (abs/1102.4374) (2011). Web SearchBibTeXDownload
13Link prediction by de-anonymization: How We Won the Kaggle Social Network Challenge. Arvind Narayanan, Elaine Shi, Benjamin I. P. Rubinstein. IJCNN 2011, 1825-1834. Web SearchBibTeXDownload
2010
12Query Strategies for Evading Convex-Inducing Classifiers. Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar. CoRR (abs/1007.0484) (2010). Web SearchBibTeXDownload
11Near-Optimal Evasion of Convex-Inducing Classifiers. Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. D. Tygar. CoRR (abs/1003.2751) (2010). Web SearchBibTeXDownload
10A Learning-Based Approach to Reactive Security. Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett. Financial Cryptography 2010, 192-206. Web SearchBibTeXDownload
9Classifier Evasion: Models and Open Problems. Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, J. D. Tygar. PSDML 2010, 92-98. Web SearchBibTeXDownload
2009
8Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning. Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft. CoRR (abs/0911.5708) (2009). Web SearchBibTeXDownload
7A Learning-Based Approach to Reactive Security. Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan, John C. Mitchell, Dawn Song, Peter L. Bartlett. CoRR (abs/0912.1155) (2009). Web SearchBibTeXDownload
6ANTIDOTE: understanding and defending against poisoning of anomaly detectors. Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar. Internet Measurement Conference 2009, 1-14. Web SearchBibTeXDownload
5Stealthy poisoning attacks on PCA-based anomaly detectors. Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar. SIGMETRICS Performance Evaluation Review (37): 73-74 (2009). Web SearchBibTeXDownload
4Adaptive bidding for display advertising. Arpita Ghosh, Benjamin I. P. Rubinstein, Sergei Vassilvitskii, Martin Zinkevich. WWW 2009, 251-260. Web SearchBibTeXDownload
2008
3Exploiting 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. Doug Tygar, Kai Xia. LEET 2008. Web SearchBibTeXDownload
2Evading Anomaly Detection through Variance Injection Attacks on PCA. Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft, J. Doug Tygar. RAID 2008, 394-395. Web SearchBibTeXDownload
2003
1Machine learning in low-level microarray analysis. Benjamin I. P. Rubinstein, Jon D. McAuliffe, Simon Cawley, Marimuthu Palaniswami, Kotagiri Ramamohanarao, Terence P. Speed. SIGKDD Explorations (5): 130-139 (2003). Web SearchBibTeXDownload
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