adversarial robustness

Recent Advances in Adversarial Training for Adversarial Robustness IJCAI 2021 Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract) AAAI 2021 Relaxing Local Robustness NeurIPS 2021 Removing Adversarial Noise in Class Activation Feature Space ICCV 2021 Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ICCV 2021 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NeurIPS 2021 RNNRepair: Automatic RNN Repair via Model-based Analysis ICML 2021 Robust and Private Learning of Halfspaces AISTATS 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Robust Learning of Optimal Auctions NeurIPS 2021 Robust learning under clean-label attack COLT 2021 Robustness between the worst and average case NeurIPS 2021 Robustness Certification for Point Cloud Models ICCV 2021 Robustness via Cross-Domain Ensembles ICCV 2021 Robust Question Answering Through Sub-part Alignment NAACL 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021 Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021 Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract) AAAI 2021 RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NeurIPS 2021 Sample Complexity of Robust Linear Classification on Separated Data ICML 2021 Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings ICCV 2021 ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers NeurIPS 2021 Self-Progressing Robust Training AAAI 2021 Self-supervised Adversarial Robustness for the Low-label, High-data Regime ICLR 2021