ConformalGuard: False-Positive-Controlled Action Gating for LM Classifiers
ConformalGuard is a model-agnostic layer that calibrates an LM's suspiciousness score to control false positives when triggering intervention tiers. It uses conformal prediction to ensure that the rate at which legitimate inputs trigger an action stays within defined bounds, offering a finite-sample guarantee for deployment.