Jailbreaking Attack against Multimodal Large Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Niu, Zhenxing, Ren, Haodong, Gao, Xinbo, Hua, Gang, Jin, Rong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models
by: Jin, Haibo, et al.
Published: (2024)
by: Jin, Haibo, et al.
Published: (2024)
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
by: Jin, Haibo, et al.
Published: (2024)
by: Jin, Haibo, et al.
Published: (2024)
Benchmarking Large Multimodal Models against Common Corruptions
by: Zhang, Jiawei, et al.
Published: (2024)
by: Zhang, Jiawei, et al.
Published: (2024)
Test-Time Backdoor Attacks on Multimodal Large Language Models
by: Lu, Dong, et al.
Published: (2024)
by: Lu, Dong, et al.
Published: (2024)
Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)
by: Li, Zhan, et al.
Published: (2024)
VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
by: Liao, Qilin, et al.
Published: (2025)
by: Liao, Qilin, et al.
Published: (2025)
FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts
by: Zhang, Ziyi, et al.
Published: (2025)
by: Zhang, Ziyi, et al.
Published: (2025)
Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection
by: Miao, Ziqi, et al.
Published: (2025)
by: Miao, Ziqi, et al.
Published: (2025)
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
by: Zhang, Lei, et al.
Published: (2024)
by: Zhang, Lei, et al.
Published: (2024)
Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
by: Jiang, Zhengyuan, et al.
Published: (2025)
by: Jiang, Zhengyuan, et al.
Published: (2025)
IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding
by: Li, Junxian, et al.
Published: (2025)
by: Li, Junxian, et al.
Published: (2025)
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
by: Schaeffer, Rylan, et al.
Published: (2024)
by: Schaeffer, Rylan, et al.
Published: (2024)
Practical Region-level Attack against Segment Anything Models
by: Shen, Yifan, et al.
Published: (2024)
by: Shen, Yifan, et al.
Published: (2024)
Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step
by: Wang, Wenxuan, et al.
Published: (2024)
by: Wang, Wenxuan, et al.
Published: (2024)
When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?
by: Tian, Yuan, et al.
Published: (2026)
by: Tian, Yuan, et al.
Published: (2026)
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators
by: Tian, Yu, et al.
Published: (2024)
by: Tian, Yu, et al.
Published: (2024)
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models
by: Gao, Sensen, et al.
Published: (2024)
by: Gao, Sensen, et al.
Published: (2024)
OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation
by: Jia, Xiaojun, et al.
Published: (2025)
by: Jia, Xiaojun, et al.
Published: (2025)
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)
Learning to Detect Unseen Jailbreak Attacks in Large Vision-Language Models
by: Liang, Shuang, et al.
Published: (2025)
by: Liang, Shuang, et al.
Published: (2025)
Contextual Image Attack: How Visual Context Exposes Multimodal Safety Vulnerabilities
by: Xiong, Yuan, et al.
Published: (2025)
by: Xiong, Yuan, et al.
Published: (2025)
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
by: Gu, Xiangming, et al.
Published: (2024)
by: Gu, Xiangming, et al.
Published: (2024)
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)
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)
To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model
by: Zhao, Chengshuai, et al.
Published: (2026)
by: Zhao, Chengshuai, et al.
Published: (2026)
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models
by: Sun, Ye, et al.
Published: (2026)
by: Sun, Ye, et al.
Published: (2026)
Universally Unfiltered and Unseen:Input-Agnostic Multimodal Jailbreaks against Text-to-Image Model Safeguards
by: Yan, Song, et al.
Published: (2025)
by: Yan, Song, et al.
Published: (2025)
Image-Based Geolocation Using Large Vision-Language Models
by: Liu, Yi, et al.
Published: (2024)
by: Liu, Yi, et al.
Published: (2024)
When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems
by: Zhao, Shiqian, et al.
Published: (2025)
by: Zhao, Shiqian, 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)
Probabilistic Modeling of Jailbreak on Multimodal LLMs: From Quantification to Application
by: Xu, Wenzhuo, et al.
Published: (2025)
by: Xu, Wenzhuo, et al.
Published: (2025)
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
by: Xiao, Yaxin, et al.
Published: (2025)
by: Xiao, Yaxin, et al.
Published: (2025)
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
by: Zhou, Xugui, et al.
Published: (2023)
by: Zhou, Xugui, et al.
Published: (2023)
Two Frames Matter: A Temporal Attack for Text-to-Video Model Jailbreaking
by: Chen, Moyang, et al.
Published: (2026)
by: Chen, Moyang, et al.
Published: (2026)
Multimodal Pragmatic Jailbreak on Text-to-image Models
by: Liu, Tong, et al.
Published: (2024)
by: Liu, Tong, et al.
Published: (2024)
MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?
by: Li, Xirui, et al.
Published: (2024)
by: Li, Xirui, et al.
Published: (2024)
Dissecting Adversarial Robustness of Multimodal LM Agents
by: Wu, Chen Henry, et al.
Published: (2024)
by: Wu, Chen Henry, et al.
Published: (2024)
Few-Shot Adversarial Prompt Learning on Vision-Language Models
by: Zhou, Yiwei, et al.
Published: (2024)
by: Zhou, Yiwei, et al.
Published: (2024)
The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense
by: Guo, Yangyang, et al.
Published: (2024)
by: Guo, Yangyang, et al.
Published: (2024)
Antelope: Potent and Concealed Jailbreak Attack Strategy
by: Zhao, Xin, et al.
Published: (2024)
by: Zhao, Xin, et al.
Published: (2024)
Similar Items
-
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models
by: Jin, Haibo, et al.
Published: (2024) -
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters
by: Jin, Haibo, et al.
Published: (2024) -
Benchmarking Large Multimodal Models against Common Corruptions
by: Zhang, Jiawei, et al.
Published: (2024) -
Test-Time Backdoor Attacks on Multimodal Large Language Models
by: Lu, Dong, et al.
Published: (2024) -
Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)