# data-attacks
標記為「data-attacks」的 7 篇文章
RAG & Data Attack 評估 (評估)
評估涵蓋RAG poisoning、embedding 攻擊、training data extraction、membership inference。
實驗室: 進階 RAG 投毒
動手實驗室,主題為crafting documents that reliably get retrieved與influence RAG responses for specific target queries.
實驗室: Chunking 利用
動手實驗室,主題為crafting documents that split across chunks in ways that hide malicious content from chunk-level filtering while maintaining attack effectiveness.
實驗室: Citation Fabrication
動手實驗室,主題為getting RAG systems to cite documents that don't exist or misattribute quotes to legitimate sources.
實驗室: RAG Metadata 注入
動手實驗室,主題為exploiting metadata fields like titles,descriptions,timestamps to manipulate RAG retrieval ranking與influence responses.
實驗室: RAG 流水線 投毒
動手實驗室,主題為setting up a RAG pipeline with LlamaIndex,injecting malicious documents,testing retrieval poisoning,measuring injection success rates.
實驗室: Re-ranking Attacks
動手實驗室,主題為manipulating the re-ranking stage of RAG pipelines to promote or suppress specific documents in retrieval results.