Adversarial Learning

Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020 Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020 Adversarial Robustness of Flow-Based Generative Models AISTATS 2020 Adversarial Robustness of Supervised Sparse Coding NeurIPS 2020 Adversarial robustness via robust low rank representations NeurIPS 2020 Adversarial Robustness via Runtime Masking and Cleansing ICML 2020 Adversarial Sampling for Active Learning WACV 2020 Adversarial Self-Supervised Contrastive Learning NeurIPS 2020 Adversarial Semantic Collisions EMNLP 2020 Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots EMNLP 2020 Adversarial Separation and Adaptation Network for Far-Field Speaker Verification Interspeech 2020 Adversarial Separation Network for Speaker Recognition Interspeech 2020 Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NeurIPS 2020 Adversarial Sparse Transformer for Time Series Forecasting NeurIPS 2020 Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation NeurIPS 2020 Adversarial Subword Regularization for Robust Neural Machine Translation EMNLP 2020 Adversarial Text Generation via Sequence Contrast Discrimination EMNLP 2020 Adversarial Texture Optimization From RGB-D Scans CVPR 2020 Adversarial Training and Provable Defenses: Bridging the Gap ICLR 2020 Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020 Adversarial Training for Code Retrieval with Question-Description Relevance Regularization EMNLP 2020 Adversarial Training for Commonsense Inference ACL 2020 Adversarial Training is a Form of Data-dependent Operator Norm Regularization NeurIPS 2020 Adversarial Transformations for Semi-Supervised Learning AAAI 2020 Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization CVPR 2020