ReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Hao, Yang, Yankai, Suh, G. Edward, Zhang, Ning, Xiao, Chaowei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality
by: Li, Nanxi, et al.
Published: (2025)
by: Li, Nanxi, et al.
Published: (2025)
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
by: Xiang, Chong, et al.
Published: (2026)
by: Xiang, Chong, et al.
Published: (2026)
FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks
by: Wang, Jiongxiao, et al.
Published: (2024)
by: Wang, Jiongxiao, et al.
Published: (2024)
Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
by: Shao, Zedian, et al.
Published: (2024)
by: Shao, Zedian, et al.
Published: (2024)
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
by: Chae, Kyubyung, et al.
Published: (2025)
by: Chae, Kyubyung, et al.
Published: (2025)
ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models
by: Liu, Xiaogeng, et al.
Published: (2026)
by: Liu, Xiaogeng, et al.
Published: (2026)
AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
by: Liu, Xiaogeng, et al.
Published: (2025)
by: Liu, Xiaogeng, et al.
Published: (2025)
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)
Goal-guided Generative Prompt Injection Attack on Large Language Models
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web Agents
by: Wang, Xilong, et al.
Published: (2026)
by: Wang, Xilong, et al.
Published: (2026)
A Critical Evaluation of Defenses against Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)
by: Jia, Yuqi, et al.
Published: (2025)
Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning
by: Ostermann, Simon, et al.
Published: (2024)
by: Ostermann, Simon, et al.
Published: (2024)
AgentTypo: Adaptive Typographic Prompt Injection Attacks against Black-box Multimodal Agents
by: Li, Yanjie, et al.
Published: (2025)
by: Li, Yanjie, et al.
Published: (2025)
ShadowCode: Towards (Automatic) External Prompt Injection Attack against Code LLMs
by: Yang, Yuchen, et al.
Published: (2024)
by: Yang, Yuchen, et al.
Published: (2024)
EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage
by: Liao, Zeyi, et al.
Published: (2024)
by: Liao, Zeyi, et al.
Published: (2024)
RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process
by: Wang, Peiran, et al.
Published: (2024)
by: Wang, Peiran, et al.
Published: (2024)
Prompt Injection attack against LLM-integrated Applications
by: Liu, Yi, et al.
Published: (2023)
by: Liu, Yi, et al.
Published: (2023)
Defenses Against Prompt Attacks Learn Surface Heuristics
by: Li, Shawn, et al.
Published: (2026)
by: Li, Shawn, et al.
Published: (2026)
Formalizing and Benchmarking Prompt Injection Attacks and Defenses
by: Liu, Yupei, et al.
Published: (2023)
by: Liu, Yupei, et al.
Published: (2023)
Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks
by: Chen, Sizhe, et al.
Published: (2025)
by: Chen, Sizhe, et al.
Published: (2025)
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Exploring Backdoor Vulnerabilities of Chat Models
by: Hao, Yunzhuo, et al.
Published: (2024)
by: Hao, Yunzhuo, et al.
Published: (2024)
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
by: Li, Hao, et al.
Published: (2024)
by: Li, Hao, et al.
Published: (2024)
Prompt Injection as Role Confusion
by: Ye, Charles, et al.
Published: (2026)
by: Ye, Charles, et al.
Published: (2026)
MIRAGE: Context-Aware Prompt Injection against Mobile GUI Agents via User-Generated Content
by: Guo, Ruoqi, et al.
Published: (2026)
by: Guo, Ruoqi, et al.
Published: (2026)
PromptLocate: Localizing Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)
by: Jia, Yuqi, et al.
Published: (2025)
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
by: Xu, Zhangchen, et al.
Published: (2024)
by: Xu, Zhangchen, et al.
Published: (2024)
AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models
by: Zhang, Jinchuan, et al.
Published: (2025)
by: Zhang, Jinchuan, et al.
Published: (2025)
Checkpoint-GCG: Auditing and Attacking Fine-Tuning-Based Prompt Injection Defenses
by: Yang, Xiaoxue, et al.
Published: (2025)
by: Yang, Xiaoxue, et al.
Published: (2025)
Certifying LLM Safety against Adversarial Prompting
by: Kumar, Aounon, et al.
Published: (2023)
by: Kumar, Aounon, et al.
Published: (2023)
Defending against Indirect Prompt Injection by Instruction Detection
by: Wen, Tongyu, et al.
Published: (2025)
by: Wen, Tongyu, et al.
Published: (2025)
May I have your Attention? Breaking Fine-Tuning based Prompt Injection Defenses using Architecture-Aware Attacks
by: Pandya, Nishit V., et al.
Published: (2025)
by: Pandya, Nishit V., et al.
Published: (2025)
System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective
by: Wu, Fangzhou, et al.
Published: (2024)
by: Wu, Fangzhou, et al.
Published: (2024)
Jatmo: Prompt Injection Defense by Task-Specific Finetuning
by: Piet, Julien, et al.
Published: (2023)
by: Piet, Julien, et al.
Published: (2023)
Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
by: Wang, Haoran, et al.
Published: (2023)
by: Wang, Haoran, et al.
Published: (2023)
Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening
by: Zhang, Mohan, et al.
Published: (2026)
by: Zhang, Mohan, et al.
Published: (2026)
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)
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
by: Cao, Bochuan, et al.
Published: (2023)
by: Cao, Bochuan, et al.
Published: (2023)
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
by: Wang, Zhilong, et al.
Published: (2025)
by: Wang, Zhilong, et al.
Published: (2025)
Similar Items
-
PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality
by: Li, Nanxi, et al.
Published: (2025) -
Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
by: Xiang, Chong, et al.
Published: (2026) -
FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks
by: Wang, Jiongxiao, et al.
Published: (2024) -
Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
by: Shao, Zedian, et al.
Published: (2024) -
From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
by: Chae, Kyubyung, et al.
Published: (2025)