Divide and Doubt: Diverse Distributed Poisoning for Retrieval-Augmented Generation

arXiv:2609.27090 · cs.CR · Submitted 2026-09-22 · Read on arXiv

cs.CR

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• RAG — 72× in this paper · explained in 3 episodes
• Adaptation — 8× in this paper · explained in 1 episode
• Clustering — 8× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Natural Questions — 7× in this paper
• Ablation — 6× in this paper · explained in 1 episode
• Verifier — 5× in this paper · explained in 2 episodes
• Perplexity — 4× in this paper · explained in 3 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Attack Success Rate (ASR) — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• F1 Score — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models
• TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

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