Inference Cost Attacks for Retrieval-Augmented Large Language Models
检索增强型大语言模型的推理成本攻击
机构 * The Hong Kong Polytechnic University(香港理工大学)
AI总结 提出RA-ICA攻击范式,通过向外部知识库注入恶意文档,利用CREEP框架和MA-GRPO算法,使RAG增强的LLM系统推理时token消耗增加高达13.12倍且成功率超过90%。
Comments Accepted at The ACM Web Conference 2026 (WWW '26)
Journal ref Proceedings of the ACM Web Conference 2026 (WWW '26), April 13-17, 2026, Dubai, United Arab Emirates