Cover Image

Sequential Comics for Jailbreaking Multimodal Large Language Models via Structured Visual Storytelling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Deyue, Yang, Dongdong, Mu, Junjie, Zou, Quancheng, Ying, Zonghao, Xu, Wenzhuo, Liu, Zhao, Wang, Xuan, Zhang, Xiangzheng
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Two Frames Matter: A Temporal Attack for Text-to-Video Model Jailbreaking
by: Chen, Moyang, et al.
Published: (2026)

DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs
by: Xu, Wenzhuo, et al.
Published: (2026)

Reasoning-Oriented Programming: Chaining Semantic Gadgets to Jailbreak Large Vision Language Models
by: Zou, Quanchen, et al.
Published: (2026)

Probabilistic Modeling of Jailbreak on Multimodal LLMs: From Quantification to Application
by: Xu, Wenzhuo, et al.
Published: (2025)

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking
by: Zou, Quanchen, et al.
Published: (2025)

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
by: Ying, Zonghao, et al.
Published: (2025)

SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
by: Liu, Zhe, et al.
Published: (2026)

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks?
by: Mu, Junjie, et al.
Published: (2025)

Robust Privacy: Inference-Time Privacy through Certified Robustness
by: Jin, Jiankai, et al.
Published: (2026)

SQL Injection Jailbreak: A Structural Disaster of Large Language Models
by: Zhao, Jiawei, et al.
Published: (2024)

Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
by: Ying, Zonghao, et al.
Published: (2024)

NBA: defensive distillation for backdoor removal via neural behavior alignment
by: Ying, Zonghao, et al.
Published: (2024)

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models
by: Ying, Zonghao, et al.
Published: (2024)

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
by: Yin, Ziyi, et al.
Published: (2025)

MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
by: Deng, Gelei, et al.
Published: (2023)

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
by: Ying, Zonghao, et al.
Published: (2025)

Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models
by: Wang, Youze, et al.
Published: (2025)

Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
by: Jiang, Yukun, et al.
Published: (2025)

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
by: Zhao, Shiji, et al.
Published: (2025)

DLP: towards active defense against backdoor attacks with decoupled learning process
by: Ying, Zonghao, et al.
Published: (2024)

BaThe: Defense against the Jailbreak Attack in Multimodal Large Language Models by Treating Harmful Instruction as Backdoor Trigger
by: Chen, Yulin, et al.
Published: (2024)

When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
by: Chen, Xuan, et al.
Published: (2024)

Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)

PiCo: Jailbreaking Multimodal Large Language Models via Pictorial Code Contextualization
by: Liu, Aofan, et al.
Published: (2025)

Large Language Lobotomy: Jailbreaking Mixture-of-Experts via Expert Silencing
by: Lintelo, Jona te, et al.
Published: (2026)

SPARK: Jailbreaking T2V Models by Synergistically Prompting Auditory and Recontextualized Knowledge
by: Ying, Zonghao, et al.
Published: (2025)

DeepInception: Hypnotize Large Language Model to Be Jailbreaker
by: Li, Xuan, et al.
Published: (2023)

JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
by: Feng, Yingchaojie, et al.
Published: (2024)

$\textit{MMJ-Bench}$: A Comprehensive Study on Jailbreak Attacks and Defenses for Multimodal Large Language Models
by: Weng, Fenghua, et al.
Published: (2024)

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models
by: Teng, Ma, et al.
Published: (2024)

Demystifying and Detecting Agentic Workflow Injection Vulnerabilities in GitHub Actions
by: Wang, Shenao, et al.
Published: (2026)

CS-Eval: A Comprehensive Large Language Model Benchmark for CyberSecurity
by: Yu, Zhengmin, et al.
Published: (2024)

AISA: Awakening Intrinsic Safety Awareness in Large Language Models against Jailbreak Attacks
by: Song, Weiming, et al.
Published: (2026)

Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
by: Liu, Tong, et al.
Published: (2024)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
by: Lv, Huijie, et al.
Published: (2024)

JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation
by: Zhang, Shenyi, et al.
Published: (2025)

PolyJailbreak: Cross-Modal Jailbreaking Attacks on Black-Box Multimodal LLMs
by: Wang, Xinkai, et al.
Published: (2025)

JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration Framework
by: Zhou, Yuxuan, et al.
Published: (2025)

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization
by: Ying, Zonghao, et al.
Published: (2026)

Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak Attacking
by: Li, Yanzeng, et al.
Published: (2025)