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New MIRROR framework enhances red-teaming for agentic RAG systems

Researchers have developed MIRROR, a novel framework designed to enhance the red-teaming of multimodal agentic retrieval-augmented generation (RAG) systems. This unified approach addresses multiple attack surfaces, including text poisoning, image injection, direct-query attacks, and orchestrator manipulation, by employing memory-guided Monte Carlo tree search with a novelty constraint. MIRROR aims to prevent prompt copying while allowing retrieval to inform search priors, demonstrating improved attack success rates and reduced query costs compared to specialized baseline methods across various attack vectors. The project also introduces ART-SafeBench, a new dataset with over 41,000 records to facilitate further research in this area. AI

IMPACT This research could lead to more robust defenses against sophisticated attacks on generative AI systems.

RANK_REASON The cluster contains an academic paper detailing a new method for red-teaming AI systems.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New MIRROR framework enhances red-teaming for agentic RAG systems

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The cluster contains an academic paper detailing a new method for red-teaming AI systems.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Inderjeet Singh, Andr\'es Murillo, Motoyoshi Sekiya, Yuki Unno, Junichi Suga ·

    MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG

    arXiv:2606.26793v1 Announce Type: cross Abstract: Multimodal agentic retrieval-augmented generation (RAG) systems expand the attack surface beyond prompt injection to include text poisoning, image injection, direct-query attacks, and orchestrator-level tool manipulation. Existing…

  2. arXiv cs.LG TIER_1 English(EN) · Junichi Suga ·

    MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG

    Multimodal agentic retrieval-augmented generation (RAG) systems expand the attack surface beyond prompt injection to include text poisoning, image injection, direct-query attacks, and orchestrator-level tool manipulation. Existing red-teaming approaches are typically surface-spec…