adversarial training

Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans CVPR 2021 SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021 Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021 Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder CVPR 2021 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021 Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021 Stress Test Evaluation of Biomedical Word Embeddings NAACL 2021 Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion CVPR 2021 StyleMix: Separating Content and Style for Enhanced Data Augmentation CVPR 2021 SurfGen: Adversarial 3D Shape Synthesis With Explicit Surface Discriminators ICCV 2021 Targeted Adversarial Training for Natural Language Understanding NAACL 2021 The curious case of adversarially robust models: More data can help, double descend, or hurt generalization UAI 2021 Themis: A Fair Evaluation Platform for Computer Vision Competitions IJCAI 2021 To be Robust or to be Fair: Towards Fairness in Adversarial Training ICML 2021 Towards Better Robust Generalization with Shift Consistency Regularization ICML 2021 Towards Efficient and Effective Adversarial Training NeurIPS 2021 Towards Improving Adversarial Training of NLP Models EMNLP 2021 Towards Robust and Reliable Algorithmic Recourse NeurIPS 2021 Towards Robustness Against Natural Language Word Substitutions ICLR 2021 Towards Robustness of Text-to-SQL Models against Synonym Substitution ACL 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers ICCV 2021 Towards Zero-Shot Knowledge Distillation for Natural Language Processing EMNLP 2021 Training Generative Adversarial Networks in One Stage CVPR 2021 Understanding Catastrophic Overfitting in Single-step Adversarial Training AAAI 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021