AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization
Fuente:
arXiv
Saved in:
| Main Authors: | Ying, Zonghao, Wang, Haozheng, Liu, Jiangfan, Zou, Quanchen, Liu, Aishan, Yang, Jian, Yang, Yaodong, Liu, Xianglong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evolving Deception: When Agents Evolve, Deception Wins
by: Ying, Zonghao, et al.
Published: (2026)
by: Ying, Zonghao, et al.
Published: (2026)
ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
by: Weng, Shihao, et al.
Published: (2026)
by: Weng, Shihao, et al.
Published: (2026)
SPARK: Jailbreaking T2V Models by Synergistically Prompting Auditory and Recontextualized Knowledge
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
by: Zhong, Peter Yong, et al.
Published: (2025)
by: Zhong, Peter Yong, et al.
Published: (2025)
SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw
by: Ying, Zonghao, et al.
Published: (2026)
by: Ying, Zonghao, et al.
Published: (2026)
SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety
by: Liu, Zhe, et al.
Published: (2026)
by: Liu, Zhe, et al.
Published: (2026)
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
by: Wang, Yihan, et al.
Published: (2025)
by: Wang, Yihan, et al.
Published: (2025)
VIGIL: Defending LLM Agents Against Tool Stream Injection via Verify-Before-Commit
by: Lin, Junda, et al.
Published: (2026)
by: Lin, Junda, et al.
Published: (2026)
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)
AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions
by: Ying, Zonghao, et al.
Published: (2025)
by: Ying, Zonghao, et al.
Published: (2025)
Defending Against Prompt Injection with DataFilter
by: Wang, Yizhu, et al.
Published: (2025)
by: Wang, Yizhu, et al.
Published: (2025)
AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection
by: Wang, Peiran, et al.
Published: (2025)
by: Wang, Peiran, et al.
Published: (2025)
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)
Who Grants the Agent Power? Defending Against Instruction Injection via Task-Centric Access Control
by: Cai, Yifeng, et al.
Published: (2025)
by: Cai, Yifeng, et al.
Published: (2025)
Reasoning-Oriented Programming: Chaining Semantic Gadgets to Jailbreak Large Vision Language Models
by: Zou, Quanchen, et al.
Published: (2026)
by: Zou, Quanchen, et al.
Published: (2026)
Defending Against Prompt Injection With a Few DefensiveTokens
by: Chen, Sizhe, et al.
Published: (2025)
by: Chen, Sizhe, et al.
Published: (2025)
StruQ: Defending Against Prompt Injection with Structured Queries
by: Chen, Sizhe, et al.
Published: (2024)
by: Chen, Sizhe, et al.
Published: (2024)
SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
by: Jia, Feiran, et al.
Published: (2024)
by: Jia, Feiran, et al.
Published: (2024)
PlanGuard: Defending Agents against Indirect Prompt Injection via Planning-based Consistency Verification
by: Gong, Guangyu, et al.
Published: (2026)
by: Gong, Guangyu, et al.
Published: (2026)
SecAlign: Defending Against Prompt Injection with Preference Optimization
by: Chen, Sizhe, et al.
Published: (2024)
by: Chen, Sizhe, et al.
Published: (2024)
Lessons from Defending Gemini Against Indirect Prompt Injections
by: Shi, Chongyang, et al.
Published: (2025)
by: Shi, Chongyang, et al.
Published: (2025)
LogJack: Indirect Prompt Injection Through Cloud Logs Against LLM Debugging Agents
by: Shah, Harsh
Published: (2026)
by: Shah, Harsh
Published: (2026)
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
by: Zhu, Kaijie, et al.
Published: (2025)
by: Zhu, Kaijie, et al.
Published: (2025)
Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs
by: Zhong, Yinan, et al.
Published: (2025)
by: Zhong, Yinan, et al.
Published: (2025)
AttriGuard: Defeating Indirect Prompt Injection in LLM Agents via Causal Attribution of Tool Invocations
by: He, Yu, et al.
Published: (2026)
by: He, Yu, et al.
Published: (2026)
ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior
by: Lu, Weikai, et al.
Published: (2025)
by: Lu, Weikai, et al.
Published: (2025)
Prompt Injection Attack to Tool Selection in LLM Agents
by: Shi, Jiawen, et al.
Published: (2025)
by: Shi, Jiawen, et al.
Published: (2025)
A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
by: Hossain, S M Asif, et al.
Published: (2025)
by: Hossain, S M Asif, et al.
Published: (2025)
PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features
by: Zou, Wei, et al.
Published: (2025)
by: Zou, Wei, et al.
Published: (2025)
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections
by: Cao, Tri, et al.
Published: (2026)
by: Cao, Tri, et al.
Published: (2026)
Defending Against Indirect Prompt Injection Attacks With Spotlighting
by: Hines, Keegan, et al.
Published: (2024)
by: Hines, Keegan, et al.
Published: (2024)
Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction
by: Chen, Yulin, et al.
Published: (2025)
by: Chen, Yulin, et al.
Published: (2025)
Securing AI Agents Against Prompt Injection Attacks
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
by: Ramakrishnan, Badrinath, et al.
Published: (2025)
Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning
by: An, Li, et al.
Published: (2025)
by: An, Li, et al.
Published: (2025)
SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
by: Xin, Yuan, et al.
Published: (2026)
by: Xin, Yuan, et al.
Published: (2026)
Similar Items
-
Evolving Deception: When Agents Evolve, Deception Wins
by: Ying, Zonghao, et al.
Published: (2026) -
ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
by: Weng, Shihao, et al.
Published: (2026) -
SPARK: Jailbreaking T2V Models by Synergistically Prompting Auditory and Recontextualized Knowledge
by: Ying, Zonghao, et al.
Published: (2025) -
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
by: Zhong, Peter Yong, et al.
Published: (2025) -
SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents
by: Ying, Zonghao, et al.
Published: (2025)