adversarial training

PIXAR: Auto-Regressive Language Modeling in Pixel Space ACL 2024 Position: What makes an image realistic? ICML 2024 Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness CVPR 2024 Prior Knowledge-Guided Adversarial Training ACL 2024 PubDef: Defending Against Transfer Attacks From Public Models ICLR 2024 R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model ECCV 2024 RAMP: Boosting Adversarial Robustness Against Multiple l_p Perturbations for Universal Robustness NeurIPS 2024 Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024 Rapid Plug-in Defenders NeurIPS 2024 READ: Improving Relation Extraction from an ADversarial Perspective NAACL 2024 Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration ICML 2024 Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL ICLR 2024 Re-thinking Data Availability Attacks Against Deep Neural Networks CVPR 2024 Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment NeurIPS 2024 Rethinking Robustness of Model Attributions AAAI 2024 Revisiting Adversarial Training at Scale CVPR 2024 Revisiting Adversarial Training Under Long-Tailed Distributions CVPR 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024 Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024 Robust NAS under adversarial training: benchmark, theory, and beyond ICLR 2024 Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024 Robust Safety Classifier Against Jailbreaking Attacks: Adversarial Prompt Shield NAACL 2024 Robust Source-Free Domain Adaptation for Fundus Image Segmentation WACV 2024 Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech ICLR 2024 Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval NeurIPS 2024