A review of 29 machine learning based fuzzing studies that organizes the field into six pipeline stages, but its favorable conclusion relies on best-case metric selection and inconsistent benchmarks.
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A systematic review of fuzzing based on machine learning techniques
A review of 29 machine learning based fuzzing studies that organizes the field into six pipeline stages, but its favorable conclusion relies on best-case metric selection and inconsistent benchmarks.