PoisonCraft

PoisonCraft 이 저장소는 POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models. 의 공식 구현을 제공합니다. 개요 POISONCRAFT 는 악의적인 행위자가 RAGRetrieval-Augmented Generation 파이프라인에서 사용하는 코퍼스에 "오염된poisoned" 콘텐츠를 심어 대규모 언어 모델이 악성 콘텐츠를 할루시네이션하거나 참조하도록 유도할 수 있는 방법을 시연하는 것을 목표로 합니다. 이...

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs

In Large Language Models, Retrieval-Augmented Generation RAG systems can significantly enhance the performance of large language models by integrating external knowledge. However, RAG also introduces new security risks. Existing research focuses mainly on how poisoning attacks in RAG systems affe...

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models

Retrieval-Augmented Generation RAG enhances large language models LLMs by incorporating external knowledge, but its openness introduces vulnerabilities that can be exploited by poisoning attacks. Existing poisoning methods for RAG systems have limitations, such as poor generalization and lack of...