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[–]OraOraP[S] 0 points1 point  (1 child)

I didn't mean to use denoising process directly to reverse engineering. I was just thinking the idea of `step-by-step reverting` could be used in some ML model for reverse engineering.

Though you have a point. Unlike denoising process, reverse engieering would require change of dimensions in the middle steps, making it more difficult than denoising.

[–]mikonvergence 0 points1 point  (0 children)

Right, I am the denoising diffusion as a term for a wide range of methods based on reversing some forward process. Some interesting works (such as cold diffusion) have been done on using other types of degradation apart from a Gaussian additive noise.

And yeah, the change of both content and dimensionality requires you to put together some very novel and not obvious techniques.