Cover Image

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Weiyang, Shi, Zesheng, Li, Zhuo, Wang, Yequan, Liu, Xuebo, Wang, Wenya, Liu, Fangming, Zhang, Min, Li, Jing
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward
by: Guo, Weiyang, et al.
Published: (2026)

Multi-objective Large Language Model Alignment with Hierarchical Experts
by: Li, Zhuo, et al.
Published: (2025)

Mitigating Context-Memory Conflicts in LLMs through Dynamic Cognitive Reconciliation Decoding
by: Zhou, Yigeng, et al.
Published: (2026)

Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs
by: Li, Wu, et al.
Published: (2026)

Playing Language Game with LLMs Leads to Jailbreaking
by: Peng, Yu, et al.
Published: (2024)

Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning
by: Wang, Zhaoqi, et al.
Published: (2025)

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
by: Lin, Zhihao, et al.
Published: (2024)

Defending LLMs against Jailbreaking Attacks via Backtranslation
by: Wang, Yihan, et al.
Published: (2024)

Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion
by: Cui, Tiehan, et al.
Published: (2025)

From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking
by: Wang, Siyuan, et al.
Published: (2024)

Jailbreaking LLMs via Calibration
by: Lu, Yuxuan, et al.
Published: (2026)

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming
by: Guo, Weiyang, et al.
Published: (2025)

Jailbreaking Large Language Models through Iterative Tool-Disguised Attacks via Reinforcement Learning
by: Wang, Zhaoqi, et al.
Published: (2026)

Skill Weaving: Efficient LLM Improvement via Modular Skillpacks
by: Li, Zhuo, et al.
Published: (2026)

Jailbreaking to Jailbreak
by: Kritz, Jeremy, et al.
Published: (2025)

Knowledge Fusion of Large Language Models Via Modular SkillPacks
by: Du, Guodong, et al.
Published: (2025)

Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
by: Li, Jianan, et al.
Published: (2026)

FlipAttack: Jailbreak LLMs via Flipping
by: Liu, Yue, et al.
Published: (2024)

BadRobot: Jailbreaking Embodied LLMs in the Physical World
by: Zhang, Hangtao, et al.
Published: (2024)

Poisoned LangChain: Jailbreak LLMs by LangChain
by: Wang, Ziqiu, et al.
Published: (2024)

Enhancing Jailbreak Attacks on LLMs via Persona Prompts
by: Zhang, Zheng, et al.
Published: (2025)

JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
by: Chu, Junjie, et al.
Published: (2024)

Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
by: Wei, Zhihua, et al.
Published: (2026)

Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks
by: Chen, Kexin, et al.
Published: (2024)

Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs
by: Li, Xiaoxia, et al.
Published: (2024)

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
by: Xu, Zhao, et al.
Published: (2024)

TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
by: Xiong, Xiqiao, et al.
Published: (2025)

SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner
by: Wang, Xunguang, et al.
Published: (2024)

Na'vi or Knave: Jailbreaking Language Models via Metaphorical Avatars
by: Yan, Yu, et al.
Published: (2024)

Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia
by: Shen, Guangyu, et al.
Published: (2024)

Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
by: Chen, Wenyu, et al.
Published: (2026)

Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
by: Ji, Haoxuan, et al.
Published: (2024)

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
by: Liu, Fan, et al.
Published: (2024)

Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
by: Zhou, Huilin, et al.
Published: (2026)

LLMs Caught in the Crossfire: Malware Requests and Jailbreak Challenges
by: Li, Haoyang, et al.
Published: (2025)

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
by: Zhou, Weikang, et al.
Published: (2024)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
by: DeepSeek-AI, et al.
Published: (2025)

E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning
by: Guo, Weiyang, et al.
Published: (2026)

Involuntary Jailbreak: On Self-Prompting Attacks
by: Guo, Yangyang, et al.
Published: (2025)

Babel: Jailbreaking Safety Attention via Obfuscation Distribution Optimized Sampling
by: Wang, Ziwei, et al.
Published: (2026)