Adversarial Learning

Evasion and Hardening of Tree Ensemble Classifiers ICML 2016 InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets NeurIPS 2016 Measuring Neural Net Robustness with Constraints NeurIPS 2016 Minimizing the Maximal Loss: How and Why ICML 2016 Noisy Activation Functions ICML 2016 Professor Forcing: A New Algorithm for Training Recurrent Networks NeurIPS 2016 Refined Lower Bounds for Adversarial Bandits NeurIPS 2016 Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification Interspeech 2016 Adversarial Prediction Games for Multivariate Losses NeurIPS 2015 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015 Fictitious Self-Play in Extensive-Form Games ICML 2015 Fighting Bandits with a New Kind of Smoothness NeurIPS 2015 Is Feature Selection Secure against Training Data Poisoning? ICML 2015 Learning and inference in the presence of corrupted inputs COLT 2015 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 Response-Based Approachability with Applications to Generalized No-Regret Problems JMLR 2015 Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014 Feature Cross-Substitution in Adversarial Classification NeurIPS 2014 Generative Adversarial Nets NeurIPS 2014 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Online combinatorial optimization with stochastic decision sets and adversarial losses NeurIPS 2014 Reputation-based Worker Filtering in Crowdsourcing NeurIPS 2014 Bayesian Games for Adversarial Regression Problems ICML 2013 Convex Adversarial Collective Classification ICML 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013