Cover Image

ImgTrojan: Jailbreaking Vision-Language Models with ONE Image

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tao, Xijia, Zhong, Shuai, Li, Lei, Liu, Qi, Kong, Lingpeng
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models
by: Yin, Xiangyu, et al.
Published: (2025)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models
by: Jiao, Qirui, et al.
Published: (2024)

Learning to Detect Unknown Jailbreak Attacks in Large Vision-Language Models
by: Liang, Shuang, et al.
Published: (2025)

TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
by: Li, Shicheng, et al.
Published: (2025)

Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking
by: Chen, Junxi, et al.
Published: (2025)

ImgCoT: Compressing Long Chain of Thought into Compact Visual Tokens for Efficient Reasoning of Large Language Model
by: Chen, Xiaoshu, et al.
Published: (2026)

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation
by: Zhou, Zhongliang, et al.
Published: (2024)

Jailbreaks on Vision Language Model via Multimodal Reasoning
by: Noheria, Aarush, et al.
Published: (2026)

IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
by: Wang, Ruofan, et al.
Published: (2024)

TrojFlow: Flow Models are Natural Targets for Trojan Attacks
by: Qi, Zhengyang, et al.
Published: (2024)

White-box Multimodal Jailbreaks Against Large Vision-Language Models
by: Wang, Ruofan, et al.
Published: (2024)

Learning to Detect Unseen Jailbreak Attacks in Large Vision-Language Models
by: Liang, Shuang, et al.
Published: (2025)

Jailbreaking Vision-Language Models Through the Visual Modality
by: Azulay, Aharon, et al.
Published: (2026)

When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
by: Hou, Jiacheng, et al.
Published: (2026)

Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
by: Hossain, Md Zarif, et al.
Published: (2024)

Defense-to-Attack: Bypassing Weak Defenses Enables Stronger Jailbreaks in Vision-Language Models
by: Zhao, Yunhan, et al.
Published: (2025)

Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models
by: Wu, Sihao, et al.
Published: (2025)

Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models
by: Cui, Kaiyuan, et al.
Published: (2026)

Patch is Enough: Naturalistic Adversarial Patch against Vision-Language Pre-training Models
by: Kong, Dehong, et al.
Published: (2024)

Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks
by: Wang, Han, et al.
Published: (2024)

Towards Accurate UAV Image Perception: Guiding Vision-Language Models with Stronger Task Prompts
by: Guo, Mingning, et al.
Published: (2025)

Medical Large Vision Language Models with Multi-Image Visual Ability
by: Yang, Xikai, et al.
Published: (2025)

Text is All You Need for Vision-Language Model Jailbreaking
by: Chen, Yihang, et al.
Published: (2026)

ArchiLense: A Framework for Quantitative Analysis of Architectural Styles Based on Vision Large Language Models
by: Zhong, Jing, et al.
Published: (2025)

UrbanSense:A Framework for Quantitative Analysis of Urban Streetscapes leveraging Vision Large Language Models
by: Yin, Jun, et al.
Published: (2025)

LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model
by: Xue, Yuan, et al.
Published: (2024)

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
by: Zhang, Jianke, et al.
Published: (2026)

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis
by: Ye, Hanrong, et al.
Published: (2023)

6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
by: Gieruc, Théo, et al.
Published: (2024)

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models
by: Zhong, Yi, et al.
Published: (2026)

Beyond Visual Safety: Jailbreaking Multimodal Large Language Models for Harmful Image Generation via Semantic-Agnostic Inputs
by: Yu, Mingyu, et al.
Published: (2026)

ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom
by: Zhou, Jingqi, et al.
Published: (2024)

Harnessing Large Vision and Language Models in Agriculture: A Review
by: Zhu, Hongyan, et al.
Published: (2024)

BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
by: Zhao, Yunhan, et al.
Published: (2024)

Metaphor-based Jailbreak Attacks on Text-to-Image Models
by: Zhang, Chenyu, et al.
Published: (2025)

Adversarial Defense in Vision-Language Models: An Overview
by: Fu, Xiaowei, et al.
Published: (2026)

Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models
by: Yu, Bo, et al.
Published: (2026)

Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
by: Schaeffer, Rylan, et al.
Published: (2024)

VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models
by: Qin, Guangshuo, et al.
Published: (2026)

Towards Self-Refinement of Vision-Language Models with Triangular Consistency
by: Deng, Yunlong, et al.
Published: (2025)