Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Ying, Zhang, Jie, Lv, Xiao, Lin, Di, Xiang, Tao, Guo, Qing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
by: Yang, Sheng, et al.
Published: (2024)
by: Yang, Sheng, et al.
Published: (2024)
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction
by: Fu, Jiyuan, et al.
Published: (2024)
by: Fu, Jiyuan, et al.
Published: (2024)
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
by: Yin, Ziyi, et al.
Published: (2023)
by: Yin, Ziyi, et al.
Published: (2023)
Evolving Deception: When Agents Evolve, Deception Wins
by: Ying, Zonghao, et al.
Published: (2026)
by: Ying, Zonghao, et al.
Published: (2026)
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)
Defending LVLMs Against Vision Attacks through Partial-Perception Supervision
by: Zhou, Qi, et al.
Published: (2024)
by: Zhou, Qi, et al.
Published: (2024)
Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution
by: Zhou, Qi, et al.
Published: (2024)
by: Zhou, Qi, et al.
Published: (2024)
Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures
by: Pasikhani, Aryan, et al.
Published: (2026)
by: Pasikhani, Aryan, et al.
Published: (2026)
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
Language of Network: A Generative Pre-trained Model for Encrypted Traffic Comprehension
by: Zhao, Di, et al.
Published: (2025)
by: Zhao, Di, et al.
Published: (2025)
Secure Development of a Hooking-Based Deception Framework Against Keylogging Techniques
by: Sajid, Md Sajidul Islam, et al.
Published: (2025)
by: Sajid, Md Sajidul Islam, et al.
Published: (2025)
zkFinGPT: Zero-Knowledge Proofs for Financial Generative Pre-trained Transformers
by: Liu, Xiao-Yang, et al.
Published: (2026)
by: Liu, Xiao-Yang, et al.
Published: (2026)
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
by: Wu, Zongyu, et al.
Published: (2025)
by: Wu, Zongyu, et al.
Published: (2025)
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion
by: Xie, Chunlong, et al.
Published: (2025)
by: Xie, Chunlong, et al.
Published: (2025)
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images
by: Gao, Kuofeng, et al.
Published: (2024)
by: Gao, Kuofeng, et al.
Published: (2024)
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services
by: Fu, Shaopeng, et al.
Published: (2024)
by: Fu, Shaopeng, et al.
Published: (2024)
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation
by: Zhong, Zhiyuan, et al.
Published: (2025)
by: Zhong, Zhiyuan, et al.
Published: (2025)
VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models
by: Kong, Cong, et al.
Published: (2026)
by: Kong, Cong, et al.
Published: (2026)
Patronus: Identifying and Mitigating Transferable Backdoors in Pre-trained Language Models
by: Zhao, Tianhang, et al.
Published: (2025)
by: Zhao, Tianhang, et al.
Published: (2025)
WiP: Deception-in-Depth Using Multiple Layers of Deception
by: Landsborough, Jason, et al.
Published: (2024)
by: Landsborough, Jason, et al.
Published: (2024)
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
by: Yao, Xin, et al.
Published: (2025)
by: Yao, Xin, et al.
Published: (2025)
Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion
by: Guo, Ji, et al.
Published: (2024)
by: Guo, Ji, et al.
Published: (2024)
A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations
by: Ye, Mang, et al.
Published: (2025)
by: Ye, Mang, et al.
Published: (2025)
Revisiting Data Auditing in Large Vision-Language Models
by: Zhu, Hongyu, et al.
Published: (2025)
by: Zhu, Hongyu, et al.
Published: (2025)
Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss
by: Yang, Guang, et al.
Published: (2024)
by: Yang, Guang, et al.
Published: (2024)
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)
by: Cui, Yingqian, et al.
Published: (2023)
Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects
by: Zhou, Zirun, et al.
Published: (2025)
by: Zhou, Zirun, et al.
Published: (2025)
Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)
by: Hu, Yuke, et al.
Published: (2025)
Voice Jailbreak Attacks Against GPT-4o
by: Shen, Xinyue, et al.
Published: (2024)
by: Shen, Xinyue, et al.
Published: (2024)
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection
by: Liu, Shigang, et al.
Published: (2024)
by: Liu, Shigang, et al.
Published: (2024)
TokenMark: A Modality-Agnostic Watermark for Pre-trained Transformers
by: Xu, Hengyuan, et al.
Published: (2024)
by: Xu, Hengyuan, et al.
Published: (2024)
IRCopilot: Automated Incident Response with Large Language Models
by: Lin, Xihuan, et al.
Published: (2025)
by: Lin, Xihuan, et al.
Published: (2025)
Tit-for-Tat: Safeguarding Large Vision-Language Models Against Jailbreak Attacks via Adversarial Defense
by: Hao, Shuyang, et al.
Published: (2025)
by: Hao, Shuyang, et al.
Published: (2025)
MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language Models
by: Sun, Xiongtao, et al.
Published: (2025)
by: Sun, Xiongtao, et al.
Published: (2025)
Hidden Tail: Adversarial Image Causing Stealthy Resource Consumption in Vision-Language Models
by: Zhang, Rui, et al.
Published: (2025)
by: Zhang, Rui, et al.
Published: (2025)
VidLeaks: Membership Inference Attacks Against Text-to-Video Models
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
INK: Inheritable Natural Backdoor Attack Against Model Distillation
by: Liu, Xiaolei, et al.
Published: (2023)
by: Liu, Xiaolei, et al.
Published: (2023)
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
by: Yu, Yi, et al.
Published: (2024)
by: Yu, Yi, et al.
Published: (2024)
Similar Items
-
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
by: Yang, Sheng, et al.
Published: (2024) -
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction
by: Fu, Jiyuan, et al.
Published: (2024) -
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
by: Yin, Ziyi, et al.
Published: (2023) -
Evolving Deception: When Agents Evolve, Deception Wins
by: Ying, Zonghao, et al.
Published: (2026) -
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
by: Fang, Hao, et al.
Published: (2024)