adversarial robustness

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture NeurIPS 2022 When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations ICLR 2022 Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications COLING 2022 Why Do Artificially Generated Data Help Adversarial Robustness NeurIPS 2022 Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NeurIPS 2022 With False Friends Like These, Who Can Notice Mistakes? AAAI 2022 Word Level Robustness Enhancement: Fight Perturbation with Perturbation AAAI 2022 Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021 Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021 AdvDrop: Adversarial Attack to DNNs by Dropping Information ICCV 2021 Adversarial Attack Generation Empowered by Min-Max Optimization NeurIPS 2021 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021 Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams NeurIPS 2021 Adversarial Feature Desensitization NeurIPS 2021 Adversarial Imaging Pipelines CVPR 2021 Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021 Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions NeurIPS 2021 Adversarially Robust Change Point Detection NeurIPS 2021 Adversarially Robust Imitation Learning CoRL 2021 Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Adversarial Robustness Across Representation Spaces CVPR 2021 Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021