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Achieving a 98% Micro F1-score in unsupervised intrusion detection, NetVAD outperforms traditional models by leveraging a frozen Foundation Model without relying on identifiers.
Unsupervised detection of adversarial attacks in RAG systems is possible using generator activations and uncertainty measures, even without knowing the target prompt.