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It's certainly related. The difference here is that 1) they're comparing output of multiple systems, rather than looking for obviously erroneous behavior of one (segfaults, memory leaks, failed assertions); and 2) the input data is all correct - fuzzing (per my understanding) usually implies tossing bad data in to see if the system breaks (frequently just slightly bad data is more interesting than complete garbage, but either falls under "fuzzing").



It's rather like inverse fuzzing. So, zuffing.

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This kind of coinage is a rather large rabbit hole! Once upon a time in 1963, someone asked: what happens if you take the Fourier transform of a Fourier transform? Well, a Fourier transform gives you a spectrum, so let's call a Fourier transform of that, a new concept called a cepstrum. So what are its bins, analogous to frequency bins? Let's call them quefrency bins, and the cepstrum is therefore a quefrency cepstrum. What's the operation when you modify quefrencies in the cepstrum in some manner other than uniformly, analogous to how one might run a frequency spectrum through a frequency-domain filter? Why, liftering, of course.

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in case anyone else is confused - it (a cepstrum) is the ft of the log of the modulus of an ft. the ft of an ft is the original signal. https://en.wikipedia.org/wiki/Cepstrum

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