adversarial learning

Few-Shot Adversarial Domain Adaptation NeurIPS 2017 Flexible Spatio-Temporal Networks for Video Prediction CVPR 2017 Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NeurIPS 2017 Generalizing GANs: A Turing Perspective NeurIPS 2017 Generating the Future With Adversarial Transformers CVPR 2017 InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NeurIPS 2017 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NeurIPS 2017 Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NeurIPS 2017 Object Region Mining With Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach CVPR 2017 Open Category Classification by Adversarial Sample Generation IJCAI 2017 Reconstruct & Crush Network NeurIPS 2017 Robust Adversarial Reinforcement Learning ICML 2017 Scribbler: Controlling Deep Image Synthesis With Sketch and Color CVPR 2017 Stochastic and Adversarial Online Learning without Hyperparameters NeurIPS 2017 Unsupervised Learning of Disentangled Representations from Video NeurIPS 2017 Unsupervised Video Summarization With Adversarial LSTM Networks CVPR 2017 Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NeurIPS 2016 Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning NeurIPS 2016 Efficient Algorithms for Adversarial Contextual Learning ICML 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 Minimizing the Maximal Loss: How and Why ICML 2016 Provably manipulation-resistant reputation systems COLT 2016 Adversarial Prediction Games for Multivariate Losses NeurIPS 2015 Is Feature Selection Secure against Training Data Poisoning? ICML 2015 Learning and inference in the presence of corrupted inputs COLT 2015