Implementation and certification of ML-based surrogate models in avionic systems

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Authors: Christophe Gabreau, Nicolas Valot, Filipo Studzinski Perotto, Claire Pagetti
DOI: 10.82331/erts.2026.32
Cited by: 0

Abstract

This paper argues that surrogate models can be used in legacy systems because they are provable, implementable and certifiable with respect to the future development assurance guidance for ML applications anticipated by the European union Aviation Safety Agency (EASA).

Fields of Study & Subjects

Safety Systems Engineering in Autonomy Formal Methods in Verification Adversarial Robustness in Machine Learning

Publication details

Journal / source
HAL
Publication date
17 February 2026
Language
EN