Adversarial Learning

Robust Optimization for Non-Convex Objectives NeurIPS 2017 Robust Training under Linguistic Adversity EACL 2017 Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017 Scribbler: Controlling Deep Image Synthesis With Sketch and Color CVPR 2017 Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks Interspeech 2017 Stabilizing Training of Generative Adversarial Networks through Regularization NeurIPS 2017 Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017 Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks NeurIPS 2017 Trainable Greedy Decoding for Neural Machine Translation EMNLP 2017 Triangle Generative Adversarial Networks NeurIPS 2017 TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017 Universal Adversarial Perturbations CVPR 2017 Unsupervised Video Summarization With Adversarial LSTM Networks CVPR 2017 Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks Interspeech 2017 Wasserstein Generative Adversarial Networks ICML 2017 Adversarial Multiclass Classification: A Risk Minimization Perspective NeurIPS 2016 Adversarial Multi-Task Learning of Deep Neural Networks for Robust Speech Recognition Interspeech 2016 Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction NeurIPS 2016 Blind Attacks on Machine Learners NeurIPS 2016 Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning NeurIPS 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NeurIPS 2016 DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks CVPR 2016 Disentangling factors of variation in deep representation using adversarial training NeurIPS 2016 Domain-Adversarial Training of Neural Networks JMLR 2016 Efficient Algorithms for Adversarial Contextual Learning ICML 2016