Cover Image

Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Haibo, Zhou, Andy, Menke, Joe D., Wang, Haohan
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Computation and Language Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
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)

Jailbreaking Attack against Multimodal Large Language Model
by: Niu, Zhenxing, et al.
Published: (2024)

Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
by: Jiang, Zhengyuan, et al.
Published: (2025)

InfoFlood: Jailbreaking Large Language Models with Information Overload
by: Yadav, Advait, et al.
Published: (2025)

Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
by: Guan, Jiwei, et al.
Published: (2026)

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models
by: Chen, Ruoxi, et al.
Published: (2023)

VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
by: Liao, Qilin, et al.
Published: (2025)

Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection
by: Miao, Ziqi, et al.
Published: (2025)

Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory
by: Zhang, Ce, et al.
Published: (2026)

GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models
by: Jin, Haibo, et al.
Published: (2024)

Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector
by: Huang, Youcheng, et al.
Published: (2024)

Image-Based Geolocation Using Large Vision-Language Models
by: Liu, Yi, et al.
Published: (2024)

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

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

Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
by: Hao, Shuyang, et al.
Published: (2025)

CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing
by: Jin, Haibo, et al.
Published: (2021)

Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step
by: Wang, Wenxuan, et al.
Published: (2024)

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
by: Zhou, Andy, et al.
Published: (2024)

Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models
by: Liu, Jiangtao, et al.
Published: (2025)

Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models
by: Yu, Ye, et al.
Published: (2026)

Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
by: Ding, Yi, et al.
Published: (2025)

Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
by: Lee, DongGeon, et al.
Published: (2025)

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

Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection
by: Yang, Wenkui, et al.
Published: (2026)

Doubly-Universal Adversarial Perturbations: Deceiving Vision-Language Models Across Both Images and Text with a Single Perturbation
by: Kim, Hee-Seon, et al.
Published: (2024)

OmniGuard: Unified Omni-Modal Guardrails with Deliberate Reasoning
by: Zhu, Boyu, et al.
Published: (2025)

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

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling
by: Zhao, Xin, et al.
Published: (2024)

HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models
by: Gao, Sensen, et al.
Published: (2024)

Few-Shot Adversarial Prompt Learning on Vision-Language Models
by: Zhou, Yiwei, et al.
Published: (2024)

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

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

SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism
by: Chen, Beitao, et al.
Published: (2025)

$\mathbf{S^2LM}$: Towards Semantic Steganography via Large Language Models
by: Wu, Huanqi, et al.
Published: (2025)

Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models
by: Yang, Ying, et al.
Published: (2025)

Test-Time Backdoor Attacks on Multimodal Large Language Models
by: Lu, Dong, et al.
Published: (2024)

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

Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search
by: Zhou, Andy, et al.
Published: (2025)

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

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense
by: Guo, Yangyang, et al.
Published: (2024)