adversarial learning

A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry AAAI 2021 Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment AAAI 2021 An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems Interspeech 2021 An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract) AAAI 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data NeurIPS 2021 APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing EMNLP 2021 APo-VAE: Text Generation in Hyperbolic Space NAACL 2021 Approximation Theory Based Methods for RKHS Bandits ICML 2021 A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks NeurIPS 2021 A Universal Multi-Speaker Multi-Style Text-to-Speech via Disentangled Representation Learning Based on Rényi Divergence Minimization Interspeech 2021 Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021 Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning EMNLP 2021 BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 2021 BFClass: A Backdoor-free Text Classification Framework EMNLP 2021 Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021 Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021 Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021 Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021 Bridging the Visual Gap: Wide-Range Image Blending CVPR 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NeurIPS 2021 CAPE: Context-Aware Private Embeddings for Private Language Learning EMNLP 2021 Class-Agnostic Object Detection WACV 2021 Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation ICCV 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021