Adversarial Learning

Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback EMNLP 2020 Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020 Learning to Cartoonize Using White-Box Cartoon Representations CVPR 2020 Learning to Learn Single Domain Generalization CVPR 2020 Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020 LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks CVPR 2020 Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation CVPR 2020 Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing NeurIPS 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 Margin-aware Adversarial Domain Adaptation with Optimal Transport ICML 2020 Market Manipulation: An Adversarial Learning Framework for Detection and Evasion IJCAI 2020 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NeurIPS 2020 Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020 MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020 microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination WACV 2020 Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020 Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020 Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks ICLR 2020 ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020 MMA Training: Direct Input Space Margin Maximization through Adversarial Training ICLR 2020 Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion AAAI 2020 Model-based Adversarial Meta-Reinforcement Learning NeurIPS 2020 Modeling Biological Immunity to Adversarial Examples CVPR 2020 More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models ICML 2020