The paper develops joint casewise and cellwise MCD estimators for multi-class robust covariance estimation and applies them within a Mahalanobis-distance-based detection framework across four AI-content detection tasks, with convergence and breakdown-point guarantees.
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A Unified Detection Framework for AI-Related Content and Artifacts
The paper develops joint casewise and cellwise MCD estimators for multi-class robust covariance estimation and applies them within a Mahalanobis-distance-based detection framework across four AI-content detection tasks, with convergence and breakdown-point guarantees.