Author

Niaiko Michaël Ralaivao

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Preprint Aug 2026

A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification

An auditing protocol is constructed that measures two properties of any post-hoc explainer: robustness (how stable the explanation is under input perturbation) and fidelity (whether the features deemed important actually drive the model's prediction).

Rosa Elysabeth Ralinirina, J. Ralaivao, Niaiko Michaël Ralaivao et al. · 0 citations