Adversarial Learning

AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking ICLR 2019 Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network ICLR 2019 ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR 2019 Adversarial Active Exploration for Inverse Dynamics Model Learning CoRL 2019 Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019 Adversarial Attack on Sentiment Classification ACL 2019 Adversarial Attacks Beyond the Image Space CVPR 2019 Adversarial Attacks on Graph Neural Networks via Meta Learning ICLR 2019 Adversarial Attacks on Neural Networks for Graph Data IJCAI 2019 Adversarial Attacks on Node Embeddings via Graph Poisoning ICML 2019 Adversarial Attention Modeling for Multi-dimensional Emotion Regression ACL 2019 Adversarial Audio Synthesis ICLR 2019 Adversarial Binary Collaborative Filtering for Implicit Feedback AAAI 2019 Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization Interspeech 2019 Adversarial camera stickers: A physical camera-based attack on deep learning systems ICML 2019 Adversarial Category Alignment Network for Cross-domain Sentiment Classification NAACL 2019 Adversarial Decomposition of Text Representation NAACL 2019 Adversarial Defense by Stratified Convolutional Sparse Coding CVPR 2019 Adversarial Defense Through Network Profiling Based Path Extraction CVPR 2019 Adversarial Defense via Learning to Generate Diverse Attacks ICCV 2019 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019 Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation ACL 2019 Adversarial Dropout for Recurrent Neural Networks AAAI 2019 Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019