adversarial learning

Minimax Time Series Prediction NeurIPS 2015 Online Learning for Adversaries with Memory: Price of Past Mistakes NeurIPS 2015 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 Reactive bandits with attitude AISTATS 2015 Response-Based Approachability with Applications to Generalized No-Regret Problems JMLR 2015 Feature Cross-Substitution in Adversarial Classification NeurIPS 2014 Follow the Leader If You Can, Hedge If You Must JMLR 2014 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Set-Valued Approachability and Online Learning with Partial Monitoring JMLR 2014 Adaptive Market Making via Online Learning NeurIPS 2013 Convex Adversarial Collective Classification ICML 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 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 in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm JMLR 2011 Online Learning: Stochastic, Constrained, and Smoothed Adversaries NeurIPS 2011 Robust approachability and regret minimization in games with partial monitoring COLT 2011 Support Vector Machines Under Adversarial Label Noise ACML 2011 Near-Optimal Evasion of Convex-Inducing Classifiers AISTATS 2010