adversarial training

Universal Adversarial Attacks with Natural Triggers for Text Classification NAACL 2021 Unsupervised Speech Recognition NeurIPS 2021 VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples CVPR 2021 Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021 Whose Hand Is This? Person Identification From Egocentric Hand Gestures WACV 2021 ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs AAAI 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020 Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020 AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification CVPR 2020 Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text ACL 2020 Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis ACL 2020 Adversarial Attack and Defense of Structured Prediction Models EMNLP 2020 Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension EMNLP 2020 Adversarial Counterfactual Learning and Evaluation for Recommender System NeurIPS 2020 Adversarial Distributional Training for Robust Deep Learning NeurIPS 2020 Adversarial Domain Adaptation for Speaker Verification Using Partially Shared Network Interspeech 2020 Adversarial Dynamic Shapelet Networks AAAI 2020 Adversarial Examples Improve Image Recognition CVPR 2020 Adversarial Lipschitz Regularization ICLR 2020 Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NeurIPS 2020 Adversarially Robust Distillation AAAI 2020 Adversarially Trained Multi-Singer Sequence-to-Sequence Singing Synthesizer Interspeech 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020 Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020 Adversarial Robustness of Flow-Based Generative Models AISTATS 2020