adversarial robustness

Robustness Reprogramming for Representation Learning ICLR 2025 Robust Representation Consistency Model via Contrastive Denoising ICLR 2025 Robust SAM: On the Adversarial Robustness of Vision Foundation Models AAAI 2025 ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck ICML 2025 R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning CVPR 2025 SABER: Uncovering Vulnerabilities in Safety Alignment via Cross-Layer Residual Connection EMNLP 2025 SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers ICCV 2025 Scaling and Taming Adversarial Training with Synthetic Data ICCV 2025 SCULPT: Systematic Tuning of Long Prompts ACL 2025 Shadow-Activated Backdoor Attacks on Multimodal Large Language Models ACL 2025 SLADE: Shielding against Dual Exploits in Large Vision-Language Models CVPR 2025 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study AAAI 2025 Staining and Locking Computer Vision Models Without Retraining ICCV 2025 STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models CVPR 2025 Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent CVPR 2025 TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models CVPR 2025 TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification CVPR 2025 TempParaphraser: “Heating Up” Text to Evade AI-Text Detection through Paraphrasing EMNLP 2025 The Impact of Dialect Variation on Robust Automatic Speech Recognition for Catalan NAACL 2025 Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025 To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation ICLR 2025 Toward Improving Robustness and Accuracy in Unsupervised Domain Adaptation AAAI 2025 Toward Robust Non-Transferable Learning: A Survey and Benchmark IJCAI 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment ICCV 2025