Dependable Neural Networks for Safety Critical Tasks

20 Dec 2019Molly O'BrienWilliam GobleGreg HagerJulia Bukowski

Neural Networks are being integrated into safety critical systems, e.g., perception systems for autonomous vehicles, which require trained networks to perform safely in novel scenarios. It is challenging to verify neural networks because their decisions are not explainable, they cannot be exhaustively tested, and finite test samples cannot capture the variation across all operating conditions... (read more)

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