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Louis2099 authored Jul 15, 2024
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![CI](https://github.com/intelligent-control-lab/ModelVerification.jl/actions/workflows/CI.yml/badge.svg)
![Doc](https://github.com/intelligent-control-lab/ModelVerification.jl/actions/workflows/documentation.yml/badge.svg)
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## Introduction
Deep Neural Network (DNN) is crucial in approximating nonlinear functions across diverse applications, such as computer vision and control. Verifying specific input-output properties can be a highly challenging task. To this end, we present [ModelVerification.jl](https://github.com/intelligent-control-lab/ModelVerification.jl), the only cutting-edge toolbox that contains a suite of state-of-the-art methods for verifying DNNs. This toolbox significantly extends and improves the previous version ([NeuralVerification.jl](https://sisl.github.io/NeuralVerification.jl/latest/)) and is designed to empower developers and machine learning practioners with robust tools for verifying and ensuring the trustworthiness of their DNN models.
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howpublished = {\url{https://github.com/intelligent-control-lab/ModelVerification.jl}},
year = {2024}
}
```
```

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