adversarial attack

RoboGNN: Robustifying Node Classification under Link Perturbation IJCAI 2022 Robust Bayesian Regression via Hard Thresholding NeurIPS 2022 Robust Conversational Agents against Imperceptible Toxicity Triggers NAACL 2022 Robust Feature-Level Adversaries are Interpretability Tools NeurIPS 2022 Robust Hate Speech Detection via Mitigating Spurious Correlations AACL 2022 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 Robust Models are less Over-Confident NeurIPS 2022 Robust Optimal Classification Trees against Adversarial Examples AAAI 2022 Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks AISTATS 2022 Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients CVPR 2022 Robust textual embedding against word-level adversarial attacks UAI 2022 Robust Trajectory Prediction against Adversarial Attacks CoRL 2022 R&R: Metric-guided Adversarial Sentence Generation AACL 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022 Self-ensemble Adversarial Training for Improved Robustness ICLR 2022 Self-Healing Robust Neural Networks via Closed-Loop Control JMLR 2022 Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL 2022 Semantically Stealthy Adversarial Attacks Against Segmentation Models WACV 2022 Semantic-Preserving Adversarial Code Comprehension COLING 2022 Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon CVPR 2022 Shape-Invariant 3D Adversarial Point Clouds CVPR 2022 Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds AAAI 2022 SHARP: Search-Based Adversarial Attack for Structured Prediction NAACL 2022 SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher ACL 2022 SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training NeurIPS 2022