Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Haoze Wu
Omri Isac
Aleksandar Zeljić
Teruhiro Tagomori
M. Daggitt
Wen Kokke
Idan Refaeli
Guy Amir
Kyle D. Julian
Shahaf Bassan
Pei Huang
O. Lahav
Min Wu
Min Zhang
Ekaterina Komendantskaya
Guy Katz
Clark W. Barrett

Abstract
This paper serves as a comprehensive system description of version 2.0 of the Marabou framework for formal analysis of neural networks. We discuss the tool's architectural design and highlight the major features and components introduced since its initial release.
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