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all_papers_0328.csv

@@ -426,7 +426,7 @@ AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways,
 Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems,"Paper reveals LLM - to - LLM prompt injection in multi - agent systems (Prompt Infection), and proposes LLM Tagging to mitigate its spread. ",揭示多智能体系统中LLM间提示注入攻击“提示感染”，并提出LLM标签防御机制，强调安全措施紧迫性。 ,Security,Methodology-Attack and Guard,"As Large Language Models (LLMs) grow increasingly powerful, multi-agent systems are becoming more prevalent in modern AI applications. Most safety research, however, has focused on vulnerabilities in single-agent LLMs. These include prompt injection attacks, where malicious prompts embedded in external content trick the LLM into executing unintended or harmful actions, compromising the victim's application. In this paper, we reveal a more dangerous vector: LLM-to-LLM prompt injection within multi-agent systems. We introduce Prompt Infection, a novel attack where malicious prompts self-replicate across interconnected agents, behaving much like a computer virus. This attack poses severe threats, including data theft, scams, misinformation, and system-wide disruption, all while propagating silently through the system. Our extensive experiments demonstrate that multi-agent systems are highly susceptible, even when agents do not publicly share all communications. To address this, we propose LLM Tagging, a defense mechanism that, when combined with existing safeguards, significantly mitigates infection spread. This work underscores the urgent need for advanced security measures as multi-agent LLM systems become more widely adopted.
 ",,2025,,,,
 Dify,"Dify is an open - source LLM app dev platform. Its interface integrates multiple features, enabling rapid transition from prototype to production. ",Dify 是开源大模型应用开发平台，凭直观界面集成多项能力，助开发者快速从原型到生产。 ,Tools,,"Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.",https://github.com/langgenius/dify,2023,,,,
-LangChian,"LangChain is an LLM - powered app framework. It simplifies app development, productionization, and deployment, like using LangGraph and LangSmith. ",LangChain是大模型应用开发框架，简化开发、生产、部署流程，还有LangGraph、LangSmith等工具支持。 ,Tools,,"LangChain is a framework for developing applications powered by large language models (LLMs).LangChain simplifies every stage of the LLM application lifecycle:Development: Build your applications using LangChain's open-source components and third-party integrations. Use LangGraph to build stateful agents with first-class streaming and human-in-the-loop support.Productionization: Use LangSmith to inspect, monitor and evaluate your applications, so that you can continuously optimize and deploy with confidence.Deployment: Turn your LangGraph applications into production-ready APIs and Assistants with LangGraph Platform.",https://github.com/langchain-ai/langchain,2023,,,,
+LangChain,"LangChain is an LLM - powered app framework. It simplifies app development, productionization, and deployment, like using LangGraph and LangSmith. ",LangChain是大模型应用开发框架，简化开发、生产、部署流程，还有LangGraph、LangSmith等工具支持。 ,Tools,,"LangChain is a framework for developing applications powered by large language models (LLMs).LangChain simplifies every stage of the LLM application lifecycle:Development: Build your applications using LangChain's open-source components and third-party integrations. Use LangGraph to build stateful agents with first-class streaming and human-in-the-loop support.Productionization: Use LangSmith to inspect, monitor and evaluate your applications, so that you can continuously optimize and deploy with confidence.Deployment: Turn your LangGraph applications into production-ready APIs and Assistants with LangGraph Platform.",https://github.com/langchain-ai/langchain,2023,,,,
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