Imagen de Portada

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sekar, Anirudh, Agarwal, Mrinal, Sharma, Rachel, Tanaka, Akitsugu, Zhang, Jasmine, Damerla, Arjun, Zhu, Kevin
Formato:	Preprint
Publicado:	2026
Materias:	Cryptography and Security Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Defending Against Prompt Injection With a Few DefensiveTokens
por: Chen, Sizhe, et al.
Publicado: (2025)

Defense Against Prompt Injection Attack by Leveraging Attack Techniques
por: Chen, Yulin, et al.
Publicado: (2024)

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

Prompt Control-Flow Integrity: A Priority-Aware Runtime Defense Against Prompt Injection in LLM Systems
por: Alam, Md Takrim Ul, et al.
Publicado: (2026)

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections
por: Cao, Tri, et al.
Publicado: (2026)

LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
por: Panebianco, Francesco, et al.
Publicado: (2025)

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs
por: Yeo, Andrew, et al.
Publicado: (2025)

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

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

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

Privacy-Preserving Prompt Injection Detection for LLMs Using Federated Learning and Embedding-Based NLP Classification
por: Jayathilaka, Hasini
Publicado: (2025)

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

Agent Privilege Separation in OpenClaw: A Structural Defense Against Prompt Injection
por: Cheng, Darren, et al.
Publicado: (2026)

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

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

Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
por: Chen, Yulin, et al.
Publicado: (2025)

The Defense Trilemma: Why Prompt Injection Defense Wrappers Fail?
por: Bhatt, Manish, et al.
Publicado: (2026)

Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks
por: Pasquini, Dario, et al.
Publicado: (2024)

Is Your Prompt Safe? Investigating Prompt Injection Attacks Against Open-Source LLMs
por: Wang, Jiawen, et al.
Publicado: (2025)

Diffusion-Guided Adversarial Perturbation Injection for Generalizable Defense Against Facial Manipulations
por: Li, Yue, et al.
Publicado: (2026)

PromptArmor: Simple yet Effective Prompt Injection Defenses
por: Shi, Tianneng, et al.
Publicado: (2025)

The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
por: Nasr, Milad, 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)

StruQ: Defending Against Prompt Injection with Structured Queries
por: Chen, Sizhe, et al.
Publicado: (2024)

Injection Attacks Against End-to-End Encrypted Applications
por: Fábrega, Andrés, et al.
Publicado: (2024)

Evaluation of Prompt Injection Defenses in Large Language Models
por: Deep, Priyal, et al.
Publicado: (2026)

Prompt Injection as Role Confusion
por: Ye, Charles, et al.
Publicado: (2026)

SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents
por: Du, Mengyao, et al.
Publicado: (2026)

PromptShield: Deployable Detection for Prompt Injection Attacks
por: Jacob, Dennis, et al.
Publicado: (2025)

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
por: Zafar, Osama, et al.
Publicado: (2026)

Strengthening Polymorphic Prompt Assembling: Dynamic Separator Generation Against Emerging Prompt Injection Attacks
por: Dorzhiev, Nima, et al.
Publicado: (2026)

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
por: Xiong, Chen, et al.
Publicado: (2024)

A Critical Evaluation of Defenses against Prompt Injection Attacks
por: Jia, Yuqi, et al.
Publicado: (2025)

CASCADE: A Cascaded Hybrid Defense Architecture for Prompt Injection Detection in MCP-Based Systems
por: Turgut, İpek Abasıkeleş, et al.
Publicado: (2026)

Beyond the Benchmark: Innovative Defenses Against Prompt Injection Attacks
por: Shaheer, Safwan, et al.
Publicado: (2025)

System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective
por: Wu, Fangzhou, et al.
Publicado: (2024)

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

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

PromptSleuth: Detecting Prompt Injection via Semantic Intent Invariance
por: Wang, Mengxiao, et al.
Publicado: (2025)

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion Detection
por: Wang, Lingzhi, et al.
Publicado: (2024)