adversarial perturbation

ImageNet Pre-training Also Transfers Non-robustness AAAI 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers NeurIPS 2023 NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023 Normalization Layers Are All That Sharpness-Aware Minimization Needs NeurIPS 2023 On the Robustness of Randomized Ensembles to Adversarial Perturbations ICML 2023 Open Set Relation Extraction via Unknown-Aware Training ACL 2023 Origins of Low-Dimensional Adversarial Perturbations AISTATS 2023 Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability NeurIPS 2023 Phase-aware Adversarial Defense for Improving Adversarial Robustness ICML 2023 PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees CVPR 2023 Practical Disruption of Image Translation Deepfake Networks AAAI 2023 Quantifying Assistive Robustness Via the Natural-Adversarial Frontier CoRL 2023 Raising the Cost of Malicious AI-Powered Image Editing ICML 2023 Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions COLT 2023 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023 RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World ICCV 2023 RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 Robust Explanation for Free or At the Cost of Faithfulness ICML 2023 Robust Perception through Equivariance ICML 2023 RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations ACL 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023 Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors ICLR 2023 SlothSpeech: Denial-of-service Attack Against Speech Recognition Models Interspeech 2023