Adversarial Learning

Modeling Occlusion by Discriminative AND-OR Structures ICCV 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NeurIPS 2013 Online Learning with Switching Costs and Other Adaptive Adversaries NeurIPS 2013 Open Problem: Adversarial Multiarmed Bandits with Limited Advice COLT 2013 Reinforcement Learning in Robust Markov Decision Processes NeurIPS 2013 Robust Sparse Regression under Adversarial Corruption ICML 2013 Understanding Dropout NeurIPS 2013 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012 Query Strategies for Evading Convex-Inducing Classifiers JMLR 2012 Security Analysis of Online Centroid Anomaly Detection JMLR 2012 Static Prediction Games for Adversarial Learning Problems JMLR 2012 The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012 Online Learning: Stochastic, Constrained, and Smoothed Adversaries NeurIPS 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011 Variance Penalizing AdaBoost NeurIPS 2011 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 Near-Optimal Evasion of Convex-Inducing Classifiers AISTATS 2010 Online Anomaly Detection under Adversarial Impact AISTATS 2010 Repeated Games against Budgeted Adversaries NeurIPS 2010 Robust PCA via Outlier Pursuit NeurIPS 2010 Semi-Supervised Learning with Adversarially Missing Label Information NeurIPS 2010 L_1-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NeurIPS 2009 Adapting to the Shifting Intent of Search Queries NeurIPS 2009 Monte Carlo Sampling for Regret Minimization in Extensive Games NeurIPS 2009 Nash Equilibria of Static Prediction Games NeurIPS 2009