Adversarial Robustness

Bekijk alle inhoud met de tag Adversarial Robustness

Glossary

Modelrobuustheid

Modelrobuustheid verwijst naar het vermogen van een machine learning (ML) model om consistente en nauwkeurige prestaties te behouden ondanks variaties en onzekerheden in de inputdata. Robuuste modellen zijn cruciaal voor betrouwbare AI-toepassingen, omdat ze bestand zijn tegen ruis, uitschieters, distributieverschuivingen en adversariële aanvallen.

AI Machine Learning Model Robustness +3
• 5 min read

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