Cover Image

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Junfeng, Wang, Yukai, Wang, Ruipeng, Yao, Zijun, Wang, Kun, Zhang, An, Wang, Xiang, Chua, Tat-Seng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
by: Sheng, Leheng, et al.
Published: (2025)

SafeThinker: Reasoning about Risk to Deepen Safety Beyond Shallow Alignment
by: Fang, Xianya, et al.
Published: (2026)

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems
by: Fang, Junfeng, et al.
Published: (2025)

Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models
by: Wang, Xunguang, et al.
Published: (2026)

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
by: Lin, Zilong, et al.
Published: (2024)

SafeDream: Safety World Model for Proactive Early Jailbreak Detection
by: Yan, Bo, et al.
Published: (2026)

On the Role of Attention Heads in Large Language Model Safety
by: Zhou, Zhenhong, et al.
Published: (2024)

Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models
by: Luo, Weidi, et al.
Published: (2025)

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
by: Liu, Yue, et al.
Published: (2025)

SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning
by: Zhou, Kaiwen, et al.
Published: (2025)

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
by: Yu, Miao, et al.
Published: (2024)

UpSafe$^\circ$C: Upcycling for Controllable Safety in Large Language Models
by: Sun, Yuhao, et al.
Published: (2025)

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
by: Gu, Tianle, et al.
Published: (2024)

ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models
by: Liu, Xiaogeng, et al.
Published: (2026)

ProjLens: Unveiling the Role of Projectors in Multimodal Model Safety
by: Wang, Kun, et al.
Published: (2026)

Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation
by: Wang, Haoyu, et al.
Published: (2024)

Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
by: Wang, Yanbo, et al.
Published: (2026)

QGuard:Question-based Zero-shot Guard for Multi-modal LLM Safety
by: Lee, Taegyeong, et al.
Published: (2025)

OptiLeak: Efficient Prompt Reconstruction via Reinforcement Learning in Multi-tenant LLM Services
by: Wang, Longxiang, et al.
Published: (2026)

MASKDROID: Robust Android Malware Detection with Masked Graph Representations
by: Zheng, Jingnan, et al.
Published: (2024)

Refusing Safe Prompts for Multi-modal Large Language Models
by: Shao, Zedian, et al.
Published: (2024)

Probing the Robustness of Large Language Models Safety to Latent Perturbations
by: Gu, Tianle, et al.
Published: (2025)

Beyond App Markets: Demystifying Underground Mobile App Distribution Via Telegram
by: Guo, Yanhui, et al.
Published: (2024)

SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks
by: Li, Tianhao, et al.
Published: (2024)

Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable
by: Huang, Tiansheng, et al.
Published: (2025)

Security Risk of Misalignment between Text and Image in Multi-modal Model
by: Wang, Xiaosen, et al.
Published: (2025)

AI Safety vs. AI Security: Demystifying the Distinction and Boundaries
by: Lin, Zhiqiang, et al.
Published: (2025)

Safety Layers in Aligned Large Language Models: The Key to LLM Security
by: Li, Shen, et al.
Published: (2024)

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
by: Ghosal, Soumya Suvra, et al.
Published: (2024)

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models
by: Liang, Jiacheng, et al.
Published: (2025)

Internal Safety Collapse in Frontier Large Language Models
by: Wu, Yutao, et al.
Published: (2026)

RAJ-PGA: Reasoning-Activated Jailbreak and Principle-Guided Alignment Framework for Large Reasoning Models
by: Chen, Jianhao, et al.
Published: (2025)

Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts
by: Liu, Yi, et al.
Published: (2024)

Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models
by: Jin, Jiandong, et al.
Published: (2024)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)

ExplainableGuard: Interpretable Adversarial Defense for Large Language Models Using Chain-of-Thought Reasoning
by: Guan, Shaowei, et al.
Published: (2025)

CryptoX : Compositional Reasoning Evaluation of Large Language Models
by: Shi, Jiajun, et al.
Published: (2025)

Demystifying Progressive Web Application Permission Systems
by: Wang, Mengxiao, et al.
Published: (2025)

From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection
by: Li, Youpeng, et al.
Published: (2026)

SoK: Evaluating Jailbreak Guardrails for Large Language Models
by: Wang, Xunguang, et al.
Published: (2025)