Cover Image

AEGIS : Automated Co-Evolutionary Framework for Guarding Prompt Injections Schema

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Ting-Chun, Hsu, Ching-Yu, Lee, Kuan-Yi, Fu, Chi-An, Lee, Hung-yi
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attention Tracker: Detecting Prompt Injection Attacks in LLMs
by: Hung, Kuo-Han, et al.
Published: (2024)

CourtGuard: A Local, Multiagent Prompt Injection Classifier
by: Wu, Isaac, et al.
Published: (2025)

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

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

InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
by: Li, Hao, et al.
Published: (2024)

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

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
by: Lee, Donghyun, et al.
Published: (2024)

PromptLocate: Localizing Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)

SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents
by: Jia, Xiaojun, et al.
Published: (2026)

WebAgentGuard: A Reasoning-Driven Guard Model for Detecting Prompt Injection Attacks in Web Agents
by: Chen, Yulin, et al.
Published: (2026)

Bypassing Prompt Injection Detectors through Evasive Injections
by: Rahman, Md Jahedur, et al.
Published: (2026)

LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
by: Abdelnabi, Sahar, et al.
Published: (2025)

AEGIS: White-Box Attack Path Generation using LLMs and Training Effectiveness Evaluation for Large-Scale Cyber Defence Exercises
by: Tung, Ivan K., et al.
Published: (2026)

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
by: Li, Hao, et al.
Published: (2025)

Defeating Prompt Injections by Design
by: Debenedetti, Edoardo, et al.
Published: (2025)

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
by: Wang, Zhilong, 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)

AgentGuard: Repurposing Agentic Orchestrator for Safety Evaluation of Tool Orchestration
by: Chen, Jizhou, et al.
Published: (2025)

USBIPS Framework: Protecting Hosts from Malicious USB Peripherals
by: Wang, Chun-Yi, et al.
Published: (2024)

CoT-Guard: Small Models for Strong Monitoring
by: Diwan, Nirav, et al.
Published: (2026)

Assessing Prompt Injection Risks in 200+ Custom GPTs
by: Yu, Jiahao, et al.
Published: (2023)

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

Toward Trustworthy Agentic AI: A Multimodal Framework for Preventing Prompt Injection Attacks
by: Syed, Toqeer Ali, et al.
Published: (2025)

Privacy Guard & Token Parsimony by Prompt and Context Handling and LLM Routing
by: Langiu, Alessio
Published: (2026)

PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
by: Yu, Jiahao, et al.
Published: (2024)

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

Optimization-based Prompt Injection Attack to LLM-as-a-Judge
by: Shi, Jiawen, et al.
Published: (2024)

SD-RAG: A Prompt-Injection-Resilient Framework for Selective Disclosure in Retrieval-Augmented Generation
by: Masoud, Aiman Al, et al.
Published: (2026)

Automating Prompt Leakage Attacks on Large Language Models Using Agentic Approach
by: Sternak, Tvrtko, et al.
Published: (2025)

Bypassing Prompt Guards in Production with Controlled-Release Prompting
by: Fairoze, Jaiden, et al.
Published: (2025)

SecInfer: Preventing Prompt Injection via Inference-time Scaling
by: Liu, Yupei, et al.
Published: (2025)

DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks
by: Liu, Yupei, et al.
Published: (2025)

ExplainableGuard: Interpretable Adversarial Defense for Large Language Models Using Chain-of-Thought Reasoning
by: Guan, Shaowei, et al.
Published: (2025)

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

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

Prompt Injection 2.0: Hybrid AI Threats
by: McHugh, Jeremy, et al.
Published: (2025)

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

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

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts
by: Hasan, Md. Mehedi, et al.
Published: (2025)

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents
by: Cao, Tri, et al.
Published: (2025)