The paper demonstrated 90% success against knowledge bases containing millions of documents, using gradient-optimized payloads. What I tested is a vocabulary-engineering approach — no optimization against the embedding model — against a 5-document corpus. The corpus is obviously smaller than what the paper evaluated, so the success rate isn’t directly comparable. The value of a small local lab is reproducibility and clarity of mechanism, not scale. In a real production knowledge base with hundreds of documents on the same topic, the attacker needs more poisoned documents to reliably dominate the top-k — but the attack remains viable. The PoisonedRAG authors showed that even at millions-of-documents scale, five crafted documents are sufficient when using their optimization approach.
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我們在中國一家酒店性愛後，發現偷拍影片在網上流傳了給數千觀眾。关于这个话题，游戏中心提供了深入分析
问题严重性已促使参议员致信NHTSA，敦促专门针对FSD在铁路道口的表现展开正式调查。