BiRD defends RAG systems against poisoning attacks by using a dual-signal framework that combines forward ranking for semantic relevance with backward ranking for context consistency, reducing attack success rates by up to 54% and improving accuracy by up to 56%.
SimRAG: Self- Improving Retrieval-Augmented Generation for Adapt- ing Large Language Models to Specialized Domains,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation
BiRD defends RAG systems against poisoning attacks by using a dual-signal framework that combines forward ranking for semantic relevance with backward ranking for context consistency, reducing attack success rates by up to 54% and improving accuracy by up to 56%.