Saved in:
| Main Authors: | Liu, Hanqing, Zhou, Lifeng, Yan, Huanqian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.15645 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SoK: Robustness in Large Language Models against Jailbreak Attacks
by: Xu, Feiyue, et al.
Published: (2026)
by: Xu, Feiyue, et al.
Published: (2026)
Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search
by: Huang, Xun, et al.
Published: (2026)
by: Huang, Xun, et al.
Published: (2026)
SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models
by: Zeng, Xinyi, et al.
Published: (2026)
by: Zeng, Xinyi, et al.
Published: (2026)
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
by: Zhou, Weikang, et al.
Published: (2024)
by: Zhou, Weikang, et al.
Published: (2024)
Large Language Models for Multi-Robot Systems: A Survey
by: Li, Peihan, et al.
Published: (2025)
by: Li, Peihan, 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)
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
by: Peng, Benji, et al.
Published: (2024)
by: Peng, Benji, et al.
Published: (2024)
ShallowJail: Steering Jailbreaks against Large Language Models
by: Liu, Shang, et al.
Published: (2026)
by: Liu, Shang, et al.
Published: (2026)
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)
Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language Models
by: Yang, Yiqi, et al.
Published: (2024)
by: Yang, Yiqi, 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)
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)
Jailbreaking Large Vision Language Models in Intelligent Transportation Systems
by: Das, Badhan Chandra, et al.
Published: (2025)
by: Das, Badhan Chandra, et al.
Published: (2025)
CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models
by: Zhou, Guanghao, et al.
Published: (2025)
by: Zhou, Guanghao, 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)
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
by: Mu, Honglin, et al.
Published: (2024)
by: Mu, Honglin, et al.
Published: (2024)
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)
BiasJailbreak:Analyzing Ethical Biases and Jailbreak Vulnerabilities in Large Language Models
by: Lee, Isack, et al.
Published: (2024)
by: Lee, Isack, et al.
Published: (2024)
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
by: Song, Zirui, et al.
Published: (2025)
by: Song, Zirui, 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)
Policy-Guided World Model Planning for Language-Conditioned Visual Navigation
by: Chahe, Amirhosein, et al.
Published: (2026)
by: Chahe, Amirhosein, et al.
Published: (2026)
Imperceptible Jailbreaking against Large Language Models
by: Gao, Kuofeng, et al.
Published: (2025)
by: Gao, Kuofeng, et al.
Published: (2025)
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking
by: Li, Peihan, et al.
Published: (2024)
by: Li, Peihan, et al.
Published: (2024)
Minimal, Local, Causal Explanations for Jailbreak Success in Large Language Models
by: Kumar, Shubham, et al.
Published: (2026)
by: Kumar, Shubham, et al.
Published: (2026)
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
by: Li, Tianlong, et al.
Published: (2024)
by: Li, Tianlong, 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)
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
by: Zhou, Yue, et al.
Published: (2024)
by: Zhou, Yue, et al.
Published: (2024)
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2023)
by: Liu, Xiaogeng, et al.
Published: (2023)
Na'vi or Knave: Jailbreaking Language Models via Metaphorical Avatars
by: Yan, Yu, et al.
Published: (2024)
by: Yan, Yu, et al.
Published: (2024)
IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
by: Wang, Ruofan, et al.
Published: (2024)
by: Wang, Ruofan, et al.
Published: (2024)
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)
Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models
by: Cui, Kaiyuan, et al.
Published: (2026)
by: Cui, Kaiyuan, et al.
Published: (2026)
The Cost of Thinking: Increased Jailbreak Risk in Large Language Models
by: Yang, Fan
Published: (2025)
by: Yang, Fan
Published: (2025)
Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models
by: Zheng, Youjia, et al.
Published: (2025)
by: Zheng, Youjia, et al.
Published: (2025)
Jailbreaking Black Box Large Language Models in Twenty Queries
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
SoK: Evaluating Jailbreak Guardrails for Large Language Models
by: Wang, Xunguang, et al.
Published: (2025)
by: Wang, Xunguang, et al.
Published: (2025)
ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language Models
by: Cheng, Siyang, et al.
Published: (2025)
by: Cheng, Siyang, 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)
Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)
by: Bethany, Emet, et al.
Published: (2024)
GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
by: Yu, Jiahao, et al.
Published: (2023)
by: Yu, Jiahao, et al.
Published: (2023)
Similar Items
-
SoK: Robustness in Large Language Models against Jailbreak Attacks
by: Xu, Feiyue, et al.
Published: (2026) -
Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search
by: Huang, Xun, et al.
Published: (2026) -
SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models
by: Zeng, Xinyi, et al.
Published: (2026) -
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
by: Zhou, Weikang, et al.
Published: (2024) -
Large Language Models for Multi-Robot Systems: A Survey
by: Li, Peihan, et al.
Published: (2025)