LEG is a compact model that jointly classifies unsafe prompts and explains its decisions using synthetic training data and a custom uncertainty-weighted loss.
F.2 SHAP baseline details We follow a standard SHAP-based post-hoc expla- nation procedure for text classification (Lundberg and Lee, 2017)
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A Lightweight Explainable Guardrail for Prompt Safety
LEG is a compact model that jointly classifies unsafe prompts and explains its decisions using synthetic training data and a custom uncertainty-weighted loss.