adversarial robustness

DensePure: Understanding Diffusion Models for Adversarial Robustness ICLR 2023 Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text ACL 2023 Do Perceptually Aligned Gradients Imply Robustness? ICML 2023 Efficient Certified Training and Robustness Verification of Neural ODEs ICLR 2023 Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023 EGC: Image Generation and Classification via a Diffusion Energy-Based Model ICCV 2023 Elevating Code-mixed Text Handling through Auditory Information of Words EMNLP 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023 Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization NeurIPS 2023 Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV 2023 Enhancing Adversarial Robustness via Score-Based Optimization NeurIPS 2023 Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck CVPR 2023 Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks AAAI 2023 Ensemble-Based Blackbox Attacks on Dense Prediction CVPR 2023 Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness AAAI 2023 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023 Evaluating Adversarial Robustness of Low dose CT Recovery MIDL 2023 Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation EMNLP 2023 Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NeurIPS 2023 Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023 Explainability-Aware One Point Attack for Point Cloud Neural Networks WACV 2023 Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective ICCV 2023 Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness ICLR 2023 Exploring Robust Overfitting for Pre-trained Language Models ACL 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023