Adversarial Learning

Multi-source Domain Adaptation for Semantic Segmentation NeurIPS 2019 Multi-turn Dialogue Response Generation in an Adversarial Learning Framework ACL 2019 Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching ICML 2019 NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks ICML 2019 Negative Momentum for Improved Game Dynamics AISTATS 2019 Neural TTS Stylization with Adversarial and Collaborative Games ICLR 2019 NIESR: Nuisance Invariant End-to-End Speech Recognition Interspeech 2019 Noise Adaptive Speech Enhancement Using Domain Adversarial Training Interspeech 2019 Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks AAAI 2019 Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks Interspeech 2019 Nonzero-sum Adversarial Hypothesis Testing Games NeurIPS 2019 On Adversarial Mixup Resynthesis NeurIPS 2019 Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once ICCV 2019 On Certifying Non-Uniform Bounds against Adversarial Attacks ICML 2019 On Committee Representations of Adversarial Learning Models for Question-Answer Ranking ACL 2019 One-Class Adversarial Nets for Fraud Detection AAAI 2019 One-Network Adversarial Fairness AAAI 2019 On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models NAACL 2019 On-Line Adaptative Curriculum Learning for GANs AAAI 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NeurIPS 2019 Online Multiclass Boosting with Bandit Feedback AISTATS 2019 On Relating Explanations and Adversarial Examples NeurIPS 2019 On Robustness to Adversarial Examples and Polynomial Optimization NeurIPS 2019 On Self Modulation for Generative Adversarial Networks ICLR 2019 On Stabilizing Generative Adversarial Training With Noise CVPR 2019