Adversarial Learning

Random Noise Defense Against Query-Based Black-Box Attacks NeurIPS 2021 RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models EMNLP 2021 RDA: Robust Domain Adaptation via Fourier Adversarial Attacking ICCV 2021 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NeurIPS 2021 Recent Advances in Adversarial Training for Adversarial Robustness IJCAI 2021 Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021 Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation ICCV 2021 Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021 Regulating algorithmic filtering on social media NeurIPS 2021 ReinforceBug: A Framework to Generate Adversarial Textual Examples NAACL 2021 Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective AAAI 2021 Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract) AAAI 2021 Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models IJCAI 2021 Relating Adversarially Robust Generalization to Flat Minima ICCV 2021 Relation Also Need Attention: Integrating Relation Information Into Image Captioning ACML 2021 Relation-aware Graph Attention Model with Adaptive Self-adversarial Training AAAI 2021 Reliably Fast Adversarial Training via Latent Adversarial Perturbation ICCV 2021 ReMix: Towards Image-to-Image Translation With Limited Data CVPR 2021 Removing Adversarial Noise in Class Activation Feature Space ICCV 2021 Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience NeurIPS 2021 Removing Undesirable Feature Contributions Using Out-of-Distribution Data ICLR 2021 Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems Interspeech 2021 Representation Learning With Statistical Independence to Mitigate Bias WACV 2021 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning ICLR 2021 Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition AAAI 2021