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We present VERIFAI, a software toolkit for the formal design and analysis ofsystems that include artificial intelligence (AI) and machine learning (ML)components. VERIFAI particularly seeks to address challenges with applyingformal methods to perception and ML components, including those based on neuralnetworks, and to model and analyze system behavior in the presence ofenvironment uncertainty. We describe the initial version of VERIFAI whichcenters on simulation guided by formal models and specifications. Several usecases are illustrated with examples, including temporal-logic falsification,model-based systematic fuzz testing, parameter synthesis, counterexampleanalysis, and data set augmentation.

VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems