DEJA uses evolutionary optimization guided by an LLM-based Answer Utility Score to induce soft-failure responses in RAG systems, achieving over 79% soft attack success rate with under 15% hard failures and high stealth across models and datasets.
Models produce polite procedural explanations instead of substantive an- swers, avoiding hard refusals while remaining in- formationally vacuous
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Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation
DEJA uses evolutionary optimization guided by an LLM-based Answer Utility Score to induce soft-failure responses in RAG systems, achieving over 79% soft attack success rate with under 15% hard failures and high stealth across models and datasets.