AttacksarXiv 2603.17239
LAAF: A Systematic Red-Teaming Method and Automated Attack Framework for LPCI Vulnerabilities in Agentic LLM Systems
提出 LAAF,分阶段自动攻击智能体系统的 LPCI 漏洞
- arXiv
- 2603.17239
- Published
- Layer
- Application layer
- Setting
- AI Agent
- Evaluated models
- gemini-2.0-flash-001, claude-3-haiku-20240307, meta-llama/llama-3.1-70b-instruct and others5
- AttacksPoisoning and backdoors
- TechniqueDormant triggers
- ComponentMemory
AbstractLAAF does LPCI red teaming with taxonomy plus stage seeding.
The authors state that LAAF is an automated red-teaming framework built specifically for LPCI in agentic LLMs. The issue to address is that encoded, delayed, and conditionally triggered payloads can persist in memory or RAG and re-enter across sessions, whereas Garak and PyRIT do not use the previous round's breakthrough results to seed the next stage across the six stages.