RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Yifan, Aggarwal, Kriti, Laud, Tanmay, Munir, Kashif, Pujara, Jay, Mukherjee, Subhabrata |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search
by: Zhou, Andy, et al.
Published: (2025)
by: Zhou, Andy, et al.
Published: (2025)
Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models
by: Nihal, Ragib Amin, et al.
Published: (2025)
by: Nihal, Ragib Amin, et al.
Published: (2025)
Let the Bees Find the Weak Spots: A Path Planning Perspective on Multi-Turn Jailbreak Attacks against LLMs
by: Liu, Yize, et al.
Published: (2025)
by: Liu, Yize, et al.
Published: (2025)
Imperceptible Jailbreaking against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2025)
by: Gao, Kuofeng, et al.
Published: (2025)
Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
by: Jiang, Zhengyuan, et al.
Published: (2025)
by: Jiang, Zhengyuan, et al.
Published: (2025)
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
by: Zeng, Yifan, et al.
Published: (2024)
by: Zeng, Yifan, et al.
Published: (2024)
AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models
by: Reddy, Aashray, et al.
Published: (2025)
by: Reddy, Aashray, et al.
Published: (2025)
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
by: Jiang, Tanqiu, et al.
Published: (2024)
by: Jiang, Tanqiu, et al.
Published: (2024)
Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks
by: Gibbs, Tom, et al.
Published: (2024)
by: Gibbs, Tom, et al.
Published: (2024)
Proactive defense against LLM Jailbreak
by: Zhao, Weiliang, et al.
Published: (2025)
by: Zhao, Weiliang, et al.
Published: (2025)
Defending against Jailbreak through Early Exit Generation of Large Language Models
by: Zhao, Chongwen, et al.
Published: (2024)
by: Zhao, Chongwen, et al.
Published: (2024)
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
by: Luo, Weidi, et al.
Published: (2024)
by: Luo, Weidi, et al.
Published: (2024)
Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models
by: Li, Songze, et al.
Published: (2026)
by: Li, Songze, et al.
Published: (2026)
Jailbreaking Leaves a Trace: Understanding and Detecting Jailbreak Attacks from Internal Representations of Large Language Models
by: Kadali, Sri Durga Sai Sowmya, et al.
Published: (2026)
by: Kadali, Sri Durga Sai Sowmya, et al.
Published: (2026)
InfoFlood: Jailbreaking Large Language Models with Information Overload
by: Yadav, Advait, et al.
Published: (2025)
by: Yadav, Advait, et al.
Published: (2025)
Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
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)
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
by: Yi, Biao, et al.
Published: (2025)
by: Yi, Biao, et al.
Published: (2025)
PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks
by: Shen, Guobin, et al.
Published: (2025)
by: Shen, Guobin, et al.
Published: (2025)
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
by: Li, Nathaniel, et al.
Published: (2024)
by: Li, Nathaniel, et al.
Published: (2024)
Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models
by: Yang, Guangyu, et al.
Published: (2025)
by: Yang, Guangyu, et al.
Published: (2025)
Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
by: Yu, Zhiyuan, et al.
Published: (2024)
by: Yu, Zhiyuan, et al.
Published: (2024)
Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
by: Hu, Hanjiang, et al.
Published: (2025)
by: Hu, Hanjiang, et al.
Published: (2025)
MAGE: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory
by: Wang, Yuhui, et al.
Published: (2026)
by: Wang, Yuhui, et al.
Published: (2026)
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)
One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs
by: Li, Linbao, et al.
Published: (2025)
by: Li, Linbao, et al.
Published: (2025)
QUEEN: Query Unlearning against Model Extraction
by: Chen, Huajie, et al.
Published: (2024)
by: Chen, Huajie, et al.
Published: (2024)
Jailbreaking Attack against Multimodal Large Language Model
by: Niu, Zhenxing, et al.
Published: (2024)
by: Niu, Zhenxing, et al.
Published: (2024)
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
by: Rahman, Salman, et al.
Published: (2025)
by: Rahman, Salman, et al.
Published: (2025)
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)
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)
SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance
by: Huang, Caishuang, et al.
Published: (2024)
by: Huang, Caishuang, et al.
Published: (2024)
Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare
by: Zhang, Hang, et al.
Published: (2025)
by: Zhang, Hang, et al.
Published: (2025)
BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage
by: Nakka, Kalyan, et al.
Published: (2025)
by: Nakka, Kalyan, et al.
Published: (2025)
Siren: A Learning-Based Multi-Turn Attack Framework for Simulating Real-World Human Jailbreak Behaviors
by: Zhao, Yi, et al.
Published: (2025)
by: Zhao, Yi, et al.
Published: (2025)
Jailbreaking Large Language Models Through Content Concretization
by: Wahréus, Johan, et al.
Published: (2025)
by: Wahréus, Johan, 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)
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
by: Xu, Zhangchen, et al.
Published: (2024)
by: Xu, Zhangchen, et al.
Published: (2024)
Similar Items
-
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
by: Ying, Zonghao, et al.
Published: (2025) -
Tempest: Autonomous Multi-Turn Jailbreaking of Large Language Models with Tree Search
by: Zhou, Andy, et al.
Published: (2025) -
Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models
by: Nihal, Ragib Amin, et al.
Published: (2025) -
Let the Bees Find the Weak Spots: A Path Planning Perspective on Multi-Turn Jailbreak Attacks against LLMs
by: Liu, Yize, et al.
Published: (2025) -
Imperceptible Jailbreaking against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2025)