Saved in:
| Main Authors: | Wit, Maria Carolina Cornelia, Pang, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.23576 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Round Trip Translation Defence against Large Language Model Jailbreaking Attacks
by: Yung, Canaan, et al.
Published: (2024)
by: Yung, Canaan, et al.
Published: (2024)
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
by: Zhao, Wei, et al.
Published: (2024)
by: Zhao, Wei, et al.
Published: (2024)
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
by: Robey, Alexander, et al.
Published: (2023)
by: Robey, Alexander, et al.
Published: (2023)
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024)
by: Yi, Sibo, et al.
Published: (2024)
JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
by: Ran, Delong, et al.
Published: (2024)
by: Ran, Delong, et al.
Published: (2024)
Multi-turn Jailbreaking Attack in Multi-Modal Large Language Models
by: Das, Badhan Chandra, et al.
Published: (2026)
by: Das, Badhan Chandra, et al.
Published: (2026)
Defending Large Language Models Against Jailbreak Attacks via In-Decoding Safety-Awareness Probing
by: Zhao, Yinzhi, et al.
Published: (2026)
by: Zhao, Yinzhi, et al.
Published: (2026)
Invisible to Humans, Triggered by Agents: Stealthy Jailbreak Attacks on Mobile Vision-Language Agents
by: Ding, Renhua, et al.
Published: (2025)
by: Ding, Renhua, et al.
Published: (2025)
Defending Large Language Models Against Jailbreak Exploits with Responsible AI Considerations
by: Wong, Ryan, et al.
Published: (2025)
by: Wong, Ryan, et al.
Published: (2025)
Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak Attacks
by: Zhao, Jiawei, et al.
Published: (2024)
by: Zhao, Jiawei, et al.
Published: (2024)
CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models
by: Zhou, Guanghao, et al.
Published: (2025)
by: Zhou, Guanghao, et al.
Published: (2025)
Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
by: Tu, Shangqing, et al.
Published: (2024)
by: Tu, Shangqing, et al.
Published: (2024)
Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
by: Hong, Wenjing, et al.
Published: (2026)
by: Hong, Wenjing, et al.
Published: (2026)
Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles
by: Sun, Xiongtao, et al.
Published: (2024)
by: Sun, Xiongtao, et al.
Published: (2024)
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
Distract Large Language Models for Automatic Jailbreak Attack
by: Xiao, Zeguan, et al.
Published: (2024)
by: Xiao, Zeguan, et al.
Published: (2024)
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models
by: Li, Jie, et al.
Published: (2024)
by: Li, Jie, et al.
Published: (2024)
JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
by: Chu, Junjie, et al.
Published: (2024)
by: Chu, Junjie, et al.
Published: (2024)
DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
by: Zhou, Andy, et al.
Published: (2024)
by: Zhou, Andy, et al.
Published: (2024)
New Wide-Net-Casting Jailbreak Attacks Risk Large Models
by: Xiang, Qiuchi, et al.
Published: (2026)
by: Xiang, Qiuchi, et al.
Published: (2026)
GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models
by: Mia, Md Jueal, et al.
Published: (2026)
by: Mia, Md Jueal, et al.
Published: (2026)
Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
by: Guo, Qiming, et al.
Published: (2025)
by: Guo, Qiming, et al.
Published: (2025)
Improving LLM Outputs Against Jailbreak Attacks with Expert Model Integration
by: Tsmindashvili, Tatia, et al.
Published: (2025)
by: Tsmindashvili, Tatia, et al.
Published: (2025)
Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models
by: Park, Junyoung, et al.
Published: (2026)
by: Park, Junyoung, et al.
Published: (2026)
Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
by: Jaiswal, Piyush, et al.
Published: (2026)
by: Jaiswal, Piyush, et al.
Published: (2026)
Merging Improves Self-Critique Against Jailbreak Attacks
by: Gallego, Victor
Published: (2024)
by: Gallego, Victor
Published: (2024)
HarmNet: A Framework for Adaptive Multi-Turn Jailbreak Attacks on Large Language Models
by: Narula, Sidhant, et al.
Published: (2025)
by: Narula, Sidhant, et al.
Published: (2025)
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
by: Hossain, Md Zarif, et al.
Published: (2024)
by: Hossain, Md Zarif, et al.
Published: (2024)
Imperceptible Jailbreaking against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2025)
by: Gao, Kuofeng, 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)
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
by: Yu, Miao, et al.
Published: (2024)
by: Yu, Miao, et al.
Published: (2024)
White-box Multimodal Jailbreaks Against Large Vision-Language Models
by: Wang, Ruofan, et al.
Published: (2024)
by: Wang, Ruofan, et al.
Published: (2024)
Bidirectional Intention Inference Enhances LLMs' Defense Against Multi-Turn Jailbreak Attacks
by: Tong, Haibo, et al.
Published: (2025)
by: Tong, Haibo, et al.
Published: (2025)
THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
by: Ma, Zhiqing, et al.
Published: (2026)
by: Ma, Zhiqing, et al.
Published: (2026)
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
by: Zhao, Yunhan, et al.
Published: (2024)
by: Zhao, Yunhan, et al.
Published: (2024)
Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
by: Liu, Fan, et al.
Published: (2024)
by: Liu, Fan, et al.
Published: (2024)
Audio Jailbreaks in Large Audio-Language Models: Taxonomy, Attack-Defense Analysis, and Cost-Aware Evaluation
by: Feng, Bo-Han, et al.
Published: (2026)
by: Feng, Bo-Han, et al.
Published: (2026)
Safe2Harm: Semantic Isomorphism Attacks for Jailbreaking Large Language Models
by: Yang, Fan
Published: (2025)
by: Yang, Fan
Published: (2025)
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models
by: Xu, Zihao, et al.
Published: (2024)
by: Xu, Zihao, et al.
Published: (2024)
Similar Items
-
Round Trip Translation Defence against Large Language Model Jailbreaking Attacks
by: Yung, Canaan, et al.
Published: (2024) -
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
by: Zhao, Wei, et al.
Published: (2024) -
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
by: Robey, Alexander, et al.
Published: (2023) -
Jailbreak Attacks and Defenses Against Large Language Models: A Survey
by: Yi, Sibo, et al.
Published: (2024) -
JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
by: Ran, Delong, et al.
Published: (2024)