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adversarial training

1,416 papers

AT

Papers

SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks NAACL 2024 SF-V: Single Forward Video Generation Model NeurIPS 2024 Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization AAAI 2024 Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation NAACL 2024 Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement CVPR 2024 Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation ACL 2024 Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation NeurIPS 2024 Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024 Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects ICLR 2024 Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024 Structure-Guided Adversarial Training of Diffusion Models CVPR 2024 SuperDeepFool: a new fast and accurate minimal adversarial attack NeurIPS 2024 TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models NeurIPS 2024 Taxonomy Driven Fast Adversarial Training AAAI 2024 The Effectiveness of Random Forgetting for Robust Generalization ICLR 2024 The Emergence of High-Level Semantics in a Signaling Game NAACL 2024 Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach ICLR 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024 Towards Efficient Training and Evaluation of Robust Models against l_0 Bounded Adversarial Perturbations ICML 2024 Towards Fairness-Aware Adversarial Learning CVPR 2024 Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models ECCV 2024 Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks AAAI 2024 Towards Robustness to Natural Variations and Distribution Shift (Student Abstract) AAAI 2024 Towards Stable Representations for Protein Interface Prediction NeurIPS 2024