针对LLM智能体长期记忆的新型投毒攻击，零散拼接恶意记录，隐蔽操控智能体行为。
arXiv:2608.01637v1 Announce Type: new Abstract: Long-term memory enables LLM agents to retain useful information across sessions, but also creates an …
首个认证防御方案，针对LLM代理系统运行时内存投毒攻击，保障持久化RAG安全。
arXiv:2606.12703v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) agents increasingly run with persistent memory that accumulates…
系统揭示LLM Agents如何从不安全输入污染可信记忆，首份系统性内存投毒攻防研究
arXiv:2606.04329v1 Announce Type: cross Abstract: Memory is a core component of AI agents, enabling them to accumulate knowledge across interactions a…
通过内存投毒劫持LLM代理的工具选择，一种隐蔽且难检测的新攻击方式。
arXiv:2605.26154v1 Announce Type: cross Abstract: LLM-driven agents are capable of selecting external tools to complete users' tasks. However, attacke…
用Pydantic字段验证器为OpenAI Agents SDK筑起防御内存投毒（ASI06）的坚固防线，安全开发实操指南。
The OpenAI Agents SDK is rapidly becoming the standard for building production AI agents. But as agents grow more capable and stateful, a critical att…