DeepHunter: a coverage-guided fuzz testing framework for deep neural networks

Short summary

DeepHunter, a new fuzz testing framework, uses metamorphic mutation and coverage feedback to find defects in deep neural networks (DNNs) with up to 98% valid test generation.

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