Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Tong, Zhang, Yingjie, Zhao, Zhe, Dong, Yinpeng, Meng, Guozhu, Chen, Kai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bleeding Pathways: Vanishing Discriminability in LLM Hidden States Fuels Jailbreak Attacks
by: Zhang, Yingjie, et al.
Published: (2025)
by: Zhang, Yingjie, et al.
Published: (2025)
Jailbreaking Large Language Models through Iterative Tool-Disguised Attacks via Reinforcement Learning
by: Wang, Zhaoqi, et al.
Published: (2026)
by: Wang, Zhaoqi, et al.
Published: (2026)
The Art of Hide and Seek: Making Pickle-Based Model Supply Chain Poisoning Stealthy Again
by: Liu, Tong, et al.
Published: (2025)
by: Liu, Tong, et al.
Published: (2025)
Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models
by: Wang, Youze, et al.
Published: (2025)
by: Wang, Youze, et al.
Published: (2025)
Demystifying RCE Vulnerabilities in LLM-Integrated Apps
by: Liu, Tong, et al.
Published: (2023)
by: Liu, Tong, et al.
Published: (2023)
SQL Injection Jailbreak: A Structural Disaster of Large Language Models
by: Zhao, Jiawei, et al.
Published: (2024)
by: Zhao, Jiawei, et al.
Published: (2024)
AuthNet: Neural Network with Integrated Authentication Logic
by: Cai, Yuling, et al.
Published: (2024)
by: Cai, Yuling, et al.
Published: (2024)
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
by: Zhao, Wei, et al.
Published: (2024)
by: Zhao, Wei, et al.
Published: (2024)
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
by: Xiang, Yongli, et al.
Published: (2025)
by: Xiang, Yongli, et al.
Published: (2025)
Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
by: Dong, Yiting, et al.
Published: (2024)
by: Dong, Yiting, et al.
Published: (2024)
Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
by: Shen, Guobin, et al.
Published: (2024)
by: Shen, Guobin, et al.
Published: (2024)
QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language
by: Zou, Qingsong, et al.
Published: (2025)
by: Zou, Qingsong, et al.
Published: (2025)
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models
by: Hu, Xiaomeng, et al.
Published: (2024)
by: Hu, Xiaomeng, et al.
Published: (2024)
Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
by: Yin, Ziyi, et al.
Published: (2025)
by: Yin, Ziyi, et al.
Published: (2025)
Reasoning-Oriented Programming: Chaining Semantic Gadgets to Jailbreak Large Vision Language Models
by: Zou, Quanchen, et al.
Published: (2026)
by: Zou, Quanchen, et al.
Published: (2026)
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
by: Jiang, Yukun, et al.
Published: (2025)
by: Jiang, Yukun, et al.
Published: (2025)
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
by: Yu, Miao, et al.
Published: (2024)
by: Yu, Miao, et al.
Published: (2024)
Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
by: Zhao, Shiji, et al.
Published: (2025)
by: Zhao, Shiji, et al.
Published: (2025)
Measuring and Explaining the Effects of Android App Transformations in Online Malware Detection
by: Meng, Guozhu, et al.
Published: (2025)
by: Meng, Guozhu, et al.
Published: (2025)
When Code Crosses Borders: A Security-Centric Study of LLM-based Code Translation
by: Chang, Hailong, et al.
Published: (2025)
by: Chang, Hailong, et al.
Published: (2025)
Large Language Lobotomy: Jailbreaking Mixture-of-Experts via Expert Silencing
by: Lintelo, Jona te, et al.
Published: (2026)
by: Lintelo, Jona te, et al.
Published: (2026)
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
by: Chao, Patrick, et al.
Published: (2024)
by: Chao, Patrick, et al.
Published: (2024)
BadDLM: Backdooring Diffusion Language Models with Diverse Targets
by: Zhai, Shengfang, et al.
Published: (2026)
by: Zhai, Shengfang, et al.
Published: (2026)
Transformers -- Messages in Disguise
by: Tyler, Joshua H., et al.
Published: (2024)
by: Tyler, Joshua H., et al.
Published: (2024)
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)
Depth Charge: Jailbreak Large Language Models from Deep Safety Attention Heads
by: Wu, Jinman, et al.
Published: (2026)
by: Wu, Jinman, et al.
Published: (2026)
Sequential Comics for Jailbreaking Multimodal Large Language Models via Structured Visual Storytelling
by: Zhang, Deyue, et al.
Published: (2025)
by: Zhang, Deyue, et al.
Published: (2025)
Catastrophic Overfitting: A Potential Blessing in Disguise
by: Zhao, Mengnan, et al.
Published: (2024)
by: Zhao, Mengnan, et al.
Published: (2024)
Disguised Copyright Infringement of Latent Diffusion Models
by: Lu, Yiwei, et al.
Published: (2024)
by: Lu, Yiwei, et al.
Published: (2024)
Emoji-Based Jailbreaking of Large Language Models
by: Gopinadh, M P V S, et al.
Published: (2026)
by: Gopinadh, M P V S, et al.
Published: (2026)
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
by: Deng, Gelei, et al.
Published: (2023)
by: Deng, Gelei, et al.
Published: (2023)
JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation
by: Zhang, Shenyi, et al.
Published: (2025)
by: Zhang, Shenyi, et al.
Published: (2025)
Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space
by: Huang, Yao, et al.
Published: (2025)
by: Huang, Yao, et al.
Published: (2025)
Jailbreaking Large Language Models in Infinitely Many Ways
by: Goldstein, Oliver, et al.
Published: (2025)
by: Goldstein, Oliver, et al.
Published: (2025)
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
by: Li, Xuan, et al.
Published: (2023)
by: Li, Xuan, et al.
Published: (2023)
JULI: Jailbreak Large Language Models by Self-Introspection
by: Wang, Jesson, et al.
Published: (2025)
by: Wang, Jesson, et al.
Published: (2025)
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)
by: Chen, Yulin, et al.
Published: (2024)
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization
by: Hao, Shuyang, et al.
Published: (2025)
by: Hao, Shuyang, et al.
Published: (2025)
SoK: Robustness in Large Language Models against Jailbreak Attacks
by: Xu, Feiyue, et al.
Published: (2026)
by: Xu, Feiyue, et al.
Published: (2026)
Distract Large Language Models for Automatic Jailbreak Attack
by: Xiao, Zeguan, et al.
Published: (2024)
by: Xiao, Zeguan, et al.
Published: (2024)
Similar Items
-
Bleeding Pathways: Vanishing Discriminability in LLM Hidden States Fuels Jailbreak Attacks
by: Zhang, Yingjie, et al.
Published: (2025) -
Jailbreaking Large Language Models through Iterative Tool-Disguised Attacks via Reinforcement Learning
by: Wang, Zhaoqi, et al.
Published: (2026) -
The Art of Hide and Seek: Making Pickle-Based Model Supply Chain Poisoning Stealthy Again
by: Liu, Tong, et al.
Published: (2025) -
Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models
by: Wang, Youze, et al.
Published: (2025) -
Demystifying RCE Vulnerabilities in LLM-Integrated Apps
by: Liu, Tong, et al.
Published: (2023)