Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jiawei, Zuo, Yushen, Chai, Yuanjun, Liu, Zhendong, Fu, Yicheng, Feng, Yichun, Lam, Kin-Man |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization
by: He, Zongqi, et al.
Published: (2025)
by: He, Zongqi, et al.
Published: (2025)
Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition
by: Dong, Rongkang, et al.
Published: (2026)
by: Dong, Rongkang, et al.
Published: (2026)
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
by: Zuo, Yushen, et al.
Published: (2024)
by: Zuo, Yushen, et al.
Published: (2024)
Enhancing Novel View Synthesis from extremely sparse views with SfM-free 3D Gaussian Splatting Framework
by: He, Zongqi, et al.
Published: (2025)
by: He, Zongqi, et al.
Published: (2025)
Vision-Language Model Guided Image Restoration
by: Yang, Cuixin, et al.
Published: (2025)
by: Yang, Cuixin, et al.
Published: (2025)
HFS: Holistic Query-Aware Frame Selection for Efficient Video Reasoning
by: Yang, Yiqing, et al.
Published: (2025)
by: Yang, Yiqing, et al.
Published: (2025)
GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations
by: Liu, Xinwei, et al.
Published: (2025)
by: Liu, Xinwei, et al.
Published: (2025)
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
by: Zhou, Jingchun, et al.
Published: (2023)
by: Zhou, Jingchun, et al.
Published: (2023)
SA$^{2}$Net: Scale-Adaptive Structure-Affinity Transformation for Spine Segmentation from Ultrasound Volume Projection Imaging
by: Xie, Hao, et al.
Published: (2025)
by: Xie, Hao, et al.
Published: (2025)
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
by: Fang, Hao, et al.
Published: (2024)
by: Fang, Hao, et al.
Published: (2024)
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding
by: Kang, Jiachen, et al.
Published: (2023)
by: Kang, Jiachen, et al.
Published: (2023)
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models
by: Zhai, Haotian, et al.
Published: (2025)
by: Zhai, Haotian, et al.
Published: (2025)
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2025)
by: Wang, Jiayao, et al.
Published: (2025)
A Cross-Modal Prompt Injection Attack against Large Vision-Language Models with Image-Only Perturbation
by: Yang, Hao, et al.
Published: (2026)
by: Yang, Hao, et al.
Published: (2026)
LLaVAShield: Safeguarding Multimodal Multi-Turn Dialogues in Vision-Language Models
by: Huang, Guolei, et al.
Published: (2025)
by: Huang, Guolei, et al.
Published: (2025)
When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack
by: Liu, Hanqing, et al.
Published: (2025)
by: Liu, Hanqing, et al.
Published: (2025)
Multi-level distortion-aware deformable network for omnidirectional image super-resolution
by: Yang, Cuixin, et al.
Published: (2025)
by: Yang, Cuixin, et al.
Published: (2025)
IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater
by: Zhou, Jingchun, et al.
Published: (2023)
by: Zhou, Jingchun, et al.
Published: (2023)
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering
by: Zhang, Xiaohan, et al.
Published: (2025)
by: Zhang, Xiaohan, et al.
Published: (2025)
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually
by: Bethany, Mazal, et al.
Published: (2024)
by: Bethany, Mazal, et al.
Published: (2024)
Self-Correction Inside the Model: Leveraging Layer Attention to Mitigate Hallucinations in Large Vision Language Models
by: Fu, April
Published: (2026)
by: Fu, April
Published: (2026)
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
by: Zhao, Zhengyue, et al.
Published: (2023)
by: Zhao, Zhengyue, et al.
Published: (2023)
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
by: Lai, Songjiang, et al.
Published: (2024)
by: Lai, Songjiang, et al.
Published: (2024)
Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
by: Kong, Dehong, et al.
Published: (2025)
by: Kong, Dehong, et al.
Published: (2025)
Adversarial Machine Learning: Attacking and Safeguarding Image Datasets
by: Chowdhury, Koushik
Published: (2025)
by: Chowdhury, Koushik
Published: (2025)
NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models
by: Wu, Kai, et al.
Published: (2024)
by: Wu, Kai, et al.
Published: (2024)
Safeguarding Text-to-Image Generation via Inference-Time Prompt-Noise Optimization
by: Peng, Jiangweizhi, et al.
Published: (2024)
by: Peng, Jiangweizhi, et al.
Published: (2024)
Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation
by: Chen, Meng, et al.
Published: (2024)
by: Chen, Meng, et al.
Published: (2024)
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
by: Liang, Jiawei, et al.
Published: (2024)
by: Liang, Jiawei, et al.
Published: (2024)
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models
by: Jang, Jonggyu, et al.
Published: (2024)
by: Jang, Jonggyu, et al.
Published: (2024)
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation
by: Ergezer, Mehmet, et al.
Published: (2024)
by: Ergezer, Mehmet, et al.
Published: (2024)
Dynamic Execution Commitment of Vision-Language-Action Models
by: Chen, Feng, et al.
Published: (2026)
by: Chen, Feng, et al.
Published: (2026)
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
by: Fu, Yonggan, et al.
Published: (2023)
by: Fu, Yonggan, et al.
Published: (2023)
A Navigation Framework Utilizing Vision-Language Models
by: Duan, Yicheng, et al.
Published: (2025)
by: Duan, Yicheng, et al.
Published: (2025)
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
by: Hong, Ziming, et al.
Published: (2025)
by: Hong, Ziming, et al.
Published: (2025)
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
by: Liang, Siyuan, et al.
Published: (2024)
by: Liang, Siyuan, et al.
Published: (2024)
Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models
by: Choi, In Chong, et al.
Published: (2026)
by: Choi, In Chong, et al.
Published: (2026)
Adaptive Perturbation for Adversarial Attack
by: Yuan, Zheng, et al.
Published: (2021)
by: Yuan, Zheng, et al.
Published: (2021)
Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow
by: Zhao, Jianfei, et al.
Published: (2025)
by: Zhao, Jianfei, et al.
Published: (2025)
Similar Items
-
See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization
by: He, Zongqi, et al.
Published: (2025) -
Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition
by: Dong, Rongkang, et al.
Published: (2026) -
Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning
by: Zuo, Yushen, et al.
Published: (2024) -
Enhancing Novel View Synthesis from extremely sparse views with SfM-free 3D Gaussian Splatting Framework
by: He, Zongqi, et al.
Published: (2025) -
Vision-Language Model Guided Image Restoration
by: Yang, Cuixin, et al.
Published: (2025)