:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Shah, Harsh
Formato:	Preprint
Publicado:	2026
Materias:	Cryptography and Security
Acceso en línea:	https://arxiv.org/abs/2604.15368
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content
por: Pandey, Rohan, et al.
Publicado: (2026)

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
por: Zhan, Qiusi, et al.
Publicado: (2025)

LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injection
por: Zhao, Lei, et al.
Publicado: (2026)

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
por: Zhu, Kaijie, et al.
Publicado: (2025)

ClawGuard: A Runtime Security Framework for Tool-Augmented LLM Agents Against Indirect Prompt Injection
por: Zhao, Wei, et al.
Publicado: (2026)

The Cognitive Firewall:Securing Browser Based AI Agents Against Indirect Prompt Injection Via Hybrid Edge Cloud Defense
por: Lan, Qianlong, et al.
Publicado: (2026)

Lessons from Defending Gemini Against Indirect Prompt Injections
por: Shi, Chongyang, et al.
Publicado: (2025)

Defending Against Indirect Prompt Injection Attacks With Spotlighting
por: Hines, Keegan, et al.
Publicado: (2024)

MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
por: Syros, Georgios, et al.
Publicado: (2026)

Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs
por: Zhong, Yinan, et al.
Publicado: (2025)

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
por: Wang, Zhilong, et al.
Publicado: (2025)

The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents
por: Jia, Feiran, et al.
Publicado: (2024)

Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
por: Jaiswal, Piyush, et al.
Publicado: (2026)

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization
por: Ying, Zonghao, et al.
Publicado: (2026)

AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
por: Wang, Yihan, et al.
Publicado: (2025)

AttriGuard: Defeating Indirect Prompt Injection in LLM Agents via Causal Attribution of Tool Invocations
por: He, Yu, et al.
Publicado: (2026)

IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents
por: An, Hengyu, et al.
Publicado: (2025)

Architecting Secure AI Agents: Perspectives on System-Level Defenses Against Indirect Prompt Injection Attacks
por: Xiang, Chong, et al.
Publicado: (2026)

AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
por: Wang, Zhun, et al.
Publicado: (2025)

IPI-proxy: An Intercepting Proxy for Red-Teaming Web-Browsing AI Agents Against Indirect Prompt Injection
por: Chia-Pei, et al.
Publicado: (2026)

Manipulating LLM Web Agents with Indirect Prompt Injection Attack via HTML Accessibility Tree
por: Johnson, Sam, et al.
Publicado: (2025)

ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection
por: Weng, Shihao, et al.
Publicado: (2026)

RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
por: Zhong, Peter Yong, et al.
Publicado: (2025)

Can Indirect Prompt Injection Attacks Be Detected and Removed?
por: Chen, Yulin, et al.
Publicado: (2025)

ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior
por: Lu, Weikai, et al.
Publicado: (2025)

Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems
por: Chang, Hongyan, et al.
Publicado: (2026)

QueryIPI: Query-agnostic Indirect Prompt Injection on Coding Agents
por: Xie, Yuchong, et al.
Publicado: (2025)

A Multi-Agent LLM Defense Pipeline Against Prompt Injection Attacks
por: Hossain, S M Asif, et al.
Publicado: (2025)

ICON: Indirect Prompt Injection Defense for Agents based on Inference-Time Correction
por: Wang, Che, et al.
Publicado: (2026)

PlanGuard: Defending Agents against Indirect Prompt Injection via Planning-based Consistency Verification
por: Gong, Guangyu, et al.
Publicado: (2026)

Securing AI Agents Against Prompt Injection Attacks
por: Ramakrishnan, Badrinath, et al.
Publicado: (2025)

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
por: Zhan, Qiusi, et al.
Publicado: (2024)

Prompt Injection Attack to Tool Selection in LLM Agents
por: Shi, Jiawen, et al.
Publicado: (2025)

Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives
por: Khodayari, Soheil, et al.
Publicado: (2026)

Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks?
por: Bhagwatkar, Rishika, et al.
Publicado: (2025)

TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
por: Chen, Yulin, et al.
Publicado: (2025)

Defending against Indirect Prompt Injection by Instruction Detection
por: Wen, Tongyu, et al.
Publicado: (2025)

Log Probability Tracking of LLM APIs
por: Chauvin, Timothée, et al.
Publicado: (2025)

Defending Against Prompt Injection with DataFilter
por: Wang, Yizhu, et al.
Publicado: (2025)

Lightweight and High-Throughput Secure Logging for Internet of Things and Cold Cloud Continuum
por: Nouma, Saif E., et al.
Publicado: (2025)