Predictive AI Ensembles

Use an ensemble of diverse predictive AI models to reduce reliance on a single model or model family and improve robustness against adversarial examples. Ensemble members should be sufficiently diverse, such as through different architectures, training procedures, features, or model families. Combine their predictions using an aggregation or adjudication method designed to prevent an adversarial example that evades one model from controlling the system's predictions.