Blaine Nelson

Alvaro A. Cárdenas, Blaine Nelson, Benjamin I. P. Rubinstein: Fifth ACM workshop on artificial intelligence and security (AISec 2012). ACM Conference on Computer and Communications Security 2012: 1056-1057

Battista Biggio, Blaine Nelson, Pavel Laskov: Poisoning Attacks against Support Vector Machines. ICML 2012

Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson: Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Reports 2(9): 109-130 (2012)

Blaine Nelson, Battista Biggio, Pavel Laskov: Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. Journal of Machine Learning Research - Proceedings Track 20: 63-79 (2011)

Battista Biggio, Blaine Nelson, Pavel Laskov: Support Vector Machines Under Adversarial Label Noise. Journal of Machine Learning Research - Proceedings Track 20: 97-112 (2011)

Ling Huang, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar: Adversarial machine learning. AISec 2011: 43-58

Blaine Nelson, Battista Biggio, Pavel Laskov: Understanding the risk factors of learning in adversarial environments. AISec 2011: 87-92

Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. Doug Tygar: Near-Optimal Evasion of Convex-Inducing Classifiers. Journal of Machine Learning Research - Proceedings Track 9: 549-556 (2010)

Marco Barreno, Blaine Nelson, Anthony D. Joseph, J. D. Tygar: The security of machine learning. Machine Learning 81(2): 121-148 (2010)

Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, J. D. Tygar: Classifier Evasion: Models and Open Problems. PSDML 2010: 92-98

Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Steven J. Lee, Satish Rao, Anthony Tran, J. D. Tygar: Near-Optimal Evasion of Convex-Inducing Classifiers. CoRR abs/1003.2751 (2010)

Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar: Query Strategies for Evading Convex-Inducing Classifiers. CoRR abs/1007.0484 (2010)

Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar: Stealthy poisoning attacks on PCA-based anomaly detectors. SIGMETRICS Performance Evaluation Review 37(2): 73-74 (2009)

Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Satish Rao, Nina Taft, J. D. Tygar: ANTIDOTE: understanding and defending against poisoning of anomaly detectors. Internet Measurement Conference 2009: 1-14

Blaine Nelson, T. K. Satish Kumar: CircuitTSAT: A Solver for Large Instances of the Disjunctive Temporal Problem. ICAPS 2008: 232-239

Marco Barreno, Peter L. Bartlett, Fuching Jack Chi, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, Udam Saini, J. Doug Tygar: Open problems in the security of learning. AISec 2008: 19-26

Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D. Joseph, Benjamin I. P. Rubinstein, Udam Saini, Charles A. Sutton, J. Doug Tygar, Kai Xia: Exploiting Machine Learning to Subvert Your Spam Filter. LEET 2008

Benjamin I. P. Rubinstein, Blaine Nelson, Ling Huang, Anthony D. Joseph, Shing-hon Lau, Nina Taft, J. Doug Tygar: Evading Anomaly Detection through Variance Injection Attacks on PCA. RAID 2008: 394-395

Blaine Nelson, Ira Cohen: Revisiting probabilistic models for clustering with pair-wise constraints. ICML 2007: 673-680

Marco Barreno, Blaine Nelson, Russell Sears, Anthony D. Joseph, J. D. Tygar: Can machine learning be secure? ASIACCS 2006: 16-25

Steve Martin, Blaine Nelson, Anil Sewani, Karl Chen, Anthony D. Joseph: Analyzing Behavioral Features for Email Classification. CEAS 2005