DNNV is a framework for verifying deep neural networks (DNN). DNN verification takes in a neural network, and a property over that network, and checks whether the property is true or false. DNNV standardizes the network and property input formats to enable multiple verification tools to run on a single network and property. This facilitates both verifier comparison, and artifact re-use.

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