Adversarial Learning

Feature Denoising for Improving Adversarial Robustness CVPR 2019 Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples CVPR 2019 Fisher-Bures Adversary Graph Convolutional Networks UAI 2019 GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition ICCV 2019 GEM: Generative Enhanced Model for adversarial attacks EMNLP 2019 Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019 Generating 3D Adversarial Point Clouds CVPR 2019 Generating Fluent Adversarial Examples for Natural Languages ACL 2019 Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency ACL 2019 Generative Dual Adversarial Network for Generalized Zero-Shot Learning CVPR 2019 G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors ACML 2019 Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning CVPR 2019 Heuristic Authorship Obfuscation ACL 2019 Improving Black-box Adversarial Attacks with a Transfer-based Prior NeurIPS 2019 Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning AAAI 2019 Improving the Generalization of Adversarial Training with Domain Adaptation ICLR 2019 Improving Transferability of Adversarial Examples With Input Diversity CVPR 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019 MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019 Metric Learning for Adversarial Robustness NeurIPS 2019 Multi-Source Cross-Lingual Model Transfer: Learning What to Share ACL 2019 Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks AAAI 2019