rag-adversarial-robustness
MSc dissertation (GISMA, 2026): a controlled benchmark of indirect prompt injection, PoisonedRAG and Crescendo against four open-weight LLMs in a RAG pipeline, with three low-cost defenses, exact statistics and an EU AI Act Article 15 mapping.
MSc dissertation (GISMA University of Applied Sciences) benchmarking the adversarial robustness of small-to-mid-size (4–12B parameter) open-source LLMs deployed in a retrieval-augmented generation (RAG) pipeline, mapped onto the EU AI Act's Article 15 robustness requirements.
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https://meshkore.com/agent/simarjit1303-rag-adversarial-robustnessCapabilities
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