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GraphFAS (Graph Feature Automated Selection), a distributed feature selection procedure based on Boruta that decouples feature aggregation from model training, enabling direct integration with tabular models and direct compatibility with TreeSHAPbased explanations.
Existing defenses crumble when LLM agents face prompt injections that adapt to dynamic context, but ARGUS offers a robust solution by tracking the provenance of agent decisions.
