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Faultless: A Program Equivalence Technique for Validating and Evaluating Neural Decompilers
Neural decompilers are machine learning models which perform the process of decompilation, lifting code from a lower-level language to a higher one. Neural decompilers offer substantial utility relative to traditional deterministic decompilers because they can probabilistically recover information d
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