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Author: MMathisLab

README.md

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 This repository contains the code for the paper **"Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings"**. The method, termed **AROS**, employs Neural Ordinary Differential Equations (NODEs) with Lyapunov stability to create robust embeddings for OOD detection, significantly improving performance against adversarial attacks.
 
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 ## Key Features
 
 - **Lyapunov Stability for OOD Detection**: Ensures that perturbed inputs converge back to stable equilibrium points, improving robustness against adversarial attacks.