NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks

In this work, we present an early prototype of NeVer 2.0, a new system for
automated synthesis and analysis of deep neural networks.NeVer 2.0borrows its
design philosophy from NeVer, the first package that integrated learning,
automated verification and repair of (shallow) neural networks in a single
tool. The goal of NeVer 2.0 is to provide a similar integration for deep
networks by leveraging a selection of state-of-the-art learning frameworks and
integrating them with verification algorithms to ease the scalability challenge
and make repair of faulty networks possible.