Navigating the Trade-off: A Synthesis of Defensive Strategies for Zero-Shot Adversarial Robustness in Vision-Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Zane, Sun, Jason |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models
by: Liang, Yuhan, et al.
Published: (2024)
by: Liang, Yuhan, et al.
Published: (2024)
Adversarial Defense in Vision-Language Models: An Overview
by: Fu, Xiaowei, et al.
Published: (2026)
by: Fu, Xiaowei, et al.
Published: (2026)
Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment
by: Jeong, Seongjun, et al.
Published: (2024)
by: Jeong, Seongjun, et al.
Published: (2024)
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
by: Yu, Lu, et al.
Published: (2024)
by: Yu, Lu, et al.
Published: (2024)
TINA: Think, Interaction, and Action Framework for Zero-Shot Vision Language Navigation
by: Li, Dingbang, et al.
Published: (2024)
by: Li, Dingbang, et al.
Published: (2024)
LightZeroNav: Zero-Shot Vision Language Navigation in Continuous Environments Based on Lightweight VLMs
by: Luo, Kun, et al.
Published: (2026)
by: Luo, Kun, et al.
Published: (2026)
Language-Driven Anchors for Zero-Shot Adversarial Robustness
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
Robust Vision-Language Models via Tensor Decomposition: A Defense Against Adversarial Attacks
by: Patel, Het, et al.
Published: (2025)
by: Patel, Het, et al.
Published: (2025)
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation
by: Liang, Xiwen, et al.
Published: (2023)
by: Liang, Xiwen, et al.
Published: (2023)
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity
by: Xu, Zhenlin, et al.
Published: (2023)
by: Xu, Zhenlin, et al.
Published: (2023)
SpatialNav: Leveraging Spatial Scene Graphs for Zero-Shot Vision-and-Language Navigation
by: Zhang, Jiwen, et al.
Published: (2026)
by: Zhang, Jiwen, et al.
Published: (2026)
DreamNav: A Trajectory-Based Imaginative Framework for Zero-Shot Vision-and-Language Navigation
by: Wang, Yunheng, et al.
Published: (2025)
by: Wang, Yunheng, et al.
Published: (2025)
Robust SAM: On the Adversarial Robustness of Vision Foundation Models
by: Long, Jiahuan, et al.
Published: (2025)
by: Long, Jiahuan, et al.
Published: (2025)
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
by: Fares, Samar, et al.
Published: (2024)
by: Fares, Samar, et al.
Published: (2024)
TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models
by: Li, Zhiwei, et al.
Published: (2025)
by: Li, Zhiwei, et al.
Published: (2025)
ZSPAPrune: Zero-Shot Prompt-Aware Token Pruning for Vision-Language Models
by: Zhang, Pu, et al.
Published: (2025)
by: Zhang, Pu, et al.
Published: (2025)
LLM meets Vision-Language Models for Zero-Shot One-Class Classification
by: Bendou, Yassir, et al.
Published: (2024)
by: Bendou, Yassir, et al.
Published: (2024)
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
by: Zhang, Mingkun, et al.
Published: (2025)
by: Zhang, Mingkun, et al.
Published: (2025)
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
by: Liu, Chaohu, et al.
Published: (2025)
by: Liu, Chaohu, et al.
Published: (2025)
Schrödinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation
by: He, Yu, et al.
Published: (2025)
by: He, Yu, et al.
Published: (2025)
Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding
by: Wang, Haibo, et al.
Published: (2026)
by: Wang, Haibo, et al.
Published: (2026)
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
by: Ma, Fengji, et al.
Published: (2024)
by: Ma, Fengji, et al.
Published: (2024)
Binary Verification for Zero-Shot Vision
by: Hu, Rongbin, et al.
Published: (2025)
by: Hu, Rongbin, et al.
Published: (2025)
AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models
by: Cui, Yubo, et al.
Published: (2026)
by: Cui, Yubo, et al.
Published: (2026)
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships
by: Waseda, Futa, et al.
Published: (2024)
by: Waseda, Futa, et al.
Published: (2024)
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach
by: Guan, Jiwei, et al.
Published: (2024)
by: Guan, Jiwei, et al.
Published: (2024)
VLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation
by: Sajib, Rakib Hossain, et al.
Published: (2026)
by: Sajib, Rakib Hossain, et al.
Published: (2026)
Evaluating Vision-Language Models for Zero-Shot Detection, Classification, and Association of Motorcycles, Passengers, and Helmets
by: Choi, Lucas, et al.
Published: (2024)
by: Choi, Lucas, et al.
Published: (2024)
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
by: Ji, Yuheng, et al.
Published: (2024)
by: Ji, Yuheng, et al.
Published: (2024)
Defense-to-Attack: Bypassing Weak Defenses Enables Stronger Jailbreaks in Vision-Language Models
by: Zhao, Yunhan, et al.
Published: (2025)
by: Zhao, Yunhan, et al.
Published: (2025)
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
by: Chattopadhyay, Nandish, et al.
Published: (2025)
by: Chattopadhyay, Nandish, et al.
Published: (2025)
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
by: Gowda, Shruthi, et al.
Published: (2024)
by: Gowda, Shruthi, et al.
Published: (2024)
HeatPrompt: Zero-Shot Vision-Language Modeling of Urban Heat Demand from Satellite Images
by: Thota, Kundan, et al.
Published: (2026)
by: Thota, Kundan, et al.
Published: (2026)
Filtered-ViT: A Robust Defense Against Multiple Adversarial Patch Attacks
by: Khanal, Aja, et al.
Published: (2025)
by: Khanal, Aja, et al.
Published: (2025)
NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models
by: Zhang, Jiaming, et al.
Published: (2025)
by: Zhang, Jiaming, et al.
Published: (2025)
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
by: Stangl, Kevin, et al.
Published: (2024)
by: Stangl, Kevin, et al.
Published: (2024)
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
by: Hossain, Md Zarif, et al.
Published: (2024)
by: Hossain, Md Zarif, et al.
Published: (2024)
Explainable Adversarial-Robust Vision-Language-Action Model for Robotic Manipulation
by: Kim, Ju-Young, et al.
Published: (2025)
by: Kim, Ju-Young, et al.
Published: (2025)
Fine-Tuning Vision-Language Models for Visual Navigation Assistance
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
P2DNav: Panorama-to-Downview Reasoning for Zero-shot Vision-and-Language Navigation
by: Sheng, Kai, et al.
Published: (2026)
by: Sheng, Kai, et al.
Published: (2026)
Similar Items
-
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models
by: Liang, Yuhan, et al.
Published: (2024) -
Adversarial Defense in Vision-Language Models: An Overview
by: Fu, Xiaowei, et al.
Published: (2026) -
Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment
by: Jeong, Seongjun, et al.
Published: (2024) -
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
by: Yu, Lu, et al.
Published: (2024) -
TINA: Think, Interaction, and Action Framework for Zero-Shot Vision Language Navigation
by: Li, Dingbang, et al.
Published: (2024)