Saved in:
| Main Authors: | Guo, Ruoqi, Liu, Yi, Deng, Gelei, Xiong, Yiheng, Li, Yuekang, Zhang, Ying, Zhang, Leo Yu, Zhao, Lida, Jie, Ji, Lu, Yuxiao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.28116 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prompt Injection attack against LLM-integrated Applications
by: Liu, Yi, et al.
Published: (2023)
by: Liu, Yi, et al.
Published: (2023)
"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills
by: Liu, Yi, et al.
Published: (2026)
by: Liu, Yi, et al.
Published: (2026)
SNARE: Adaptive Scenario Synthesis for Eliciting Overeager Behavior in Coding Agents
by: Qu, Yubin, et al.
Published: (2026)
by: Qu, Yubin, et al.
Published: (2026)
Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks
by: Qu, Yubin, et al.
Published: (2026)
by: Qu, Yubin, et al.
Published: (2026)
Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
by: Qu, Yubin, et al.
Published: (2026)
by: Qu, Yubin, et al.
Published: (2026)
Credential Leakage in LLM Agent Skills: A Large-Scale Empirical Study
by: Chen, Zhihao, et al.
Published: (2026)
by: Chen, Zhihao, et al.
Published: (2026)
Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
by: Liu, Yi, et al.
Published: (2026)
by: Liu, Yi, et al.
Published: (2026)
What Makes a Good LLM Agent for Real-world Penetration Testing?
by: Deng, Gelei, et al.
Published: (2026)
by: Deng, Gelei, et al.
Published: (2026)
Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
by: Deng, Gelei, et al.
Published: (2024)
by: Deng, Gelei, et al.
Published: (2024)
Environmental Injection Attacks against GUI Agents in Realistic Dynamic Environments
by: Zhang, Yitong, et al.
Published: (2025)
by: Zhang, Yitong, et al.
Published: (2025)
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)
ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
by: Weng, Shihao, et al.
Published: (2026)
by: Weng, Shihao, et al.
Published: (2026)
PINA: Prompt Injection Attack against Navigation Agents
by: Liu, Jiani, et al.
Published: (2026)
by: Liu, Jiani, et al.
Published: (2026)
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
by: Deng, Gelei, et al.
Published: (2023)
by: Deng, Gelei, et al.
Published: (2023)
Membership Inference Attacks Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
TombRaider: Entering the Vault of History to Jailbreak Large Language Models
by: Ding, Junchen, et al.
Published: (2025)
by: Ding, Junchen, et al.
Published: (2025)
A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories
by: Ding, Ziqi, et al.
Published: (2025)
by: Ding, Ziqi, et al.
Published: (2025)
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training
by: Li, Haodong, et al.
Published: (2024)
by: Li, Haodong, et al.
Published: (2024)
Systematic Categorization, Construction and Evaluation of New Attacks against Multi-modal Mobile GUI Agents
by: Yang, Yulong, et al.
Published: (2024)
by: Yang, Yulong, et al.
Published: (2024)
IllusionCAPTCHA: A CAPTCHA based on Visual Illusion
by: Ding, Ziqi, et al.
Published: (2025)
by: Ding, Ziqi, et al.
Published: (2025)
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)
VortexPIA: Indirect Prompt Injection Attack against LLMs for Efficient Extraction of User Privacy
by: Cui, Yu, et al.
Published: (2025)
by: Cui, Yu, et al.
Published: (2025)
DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
by: Ou, Haoran, et al.
Published: (2026)
by: Ou, Haoran, et al.
Published: (2026)
Design Patterns for Securing LLM Agents against Prompt Injections
by: Beurer-Kellner, Luca, et al.
Published: (2025)
by: Beurer-Kellner, Luca, et al.
Published: (2025)
Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models
by: Xu, Zihao, et al.
Published: (2024)
by: Xu, Zihao, et al.
Published: (2024)
Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment
by: Li, Yuxi, et al.
Published: (2024)
by: Li, Yuxi, et al.
Published: (2024)
The Landscape of Prompt Injection Threats in LLM Agents: From Taxonomy to Analysis
by: Wang, Peiran, et al.
Published: (2026)
by: Wang, Peiran, et al.
Published: (2026)
Oedipus: LLM-enchanced Reasoning CAPTCHA Solver
by: Deng, Gelei, et al.
Published: (2024)
by: Deng, Gelei, 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)
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
by: Debenedetti, Edoardo, et al.
Published: (2024)
by: Debenedetti, Edoardo, et al.
Published: (2024)
Image-Based Geolocation Using Large Vision-Language Models
by: Liu, Yi, et al.
Published: (2024)
by: Liu, Yi, et al.
Published: (2024)
AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents
by: Luo, Yutao, et al.
Published: (2026)
by: Luo, Yutao, 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)
PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
by: Deng, Gelei, et al.
Published: (2023)
by: Deng, Gelei, et al.
Published: (2023)
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
by: Wang, Zhun, et al.
Published: (2025)
by: Wang, Zhun, et al.
Published: (2025)
AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization
by: Ying, Zonghao, et al.
Published: (2026)
by: Ying, Zonghao, et al.
Published: (2026)
IRCopilot: Automated Incident Response with Large Language Models
by: Lin, Xihuan, et al.
Published: (2025)
by: Lin, Xihuan, et al.
Published: (2025)
Defending against Indirect Prompt Injection by Instruction Detection
by: Wen, Tongyu, et al.
Published: (2025)
by: Wen, Tongyu, et al.
Published: (2025)
PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization
by: Geng, Runpeng, et al.
Published: (2025)
by: Geng, Runpeng, et al.
Published: (2025)
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
by: Zhan, Qiusi, et al.
Published: (2024)
by: Zhan, Qiusi, et al.
Published: (2024)
Similar Items
-
Prompt Injection attack against LLM-integrated Applications
by: Liu, Yi, et al.
Published: (2023) -
"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills
by: Liu, Yi, et al.
Published: (2026) -
SNARE: Adaptive Scenario Synthesis for Eliciting Overeager Behavior in Coding Agents
by: Qu, Yubin, et al.
Published: (2026) -
Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks
by: Qu, Yubin, et al.
Published: (2026) -
Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
by: Qu, Yubin, et al.
Published: (2026)