Where are the machine learning de-compilers?
Given an executable program, give me human-readable code that generates the executable exactly. With machine learning guessed function, type, variable names...?
I get that it's a very hard problem. But... Does it just not work? Or have people not done it yet? Or have I missed it?
Training datasets should be pretty trivial for this, all open source software that is buildable on the internet could provide training sets (source code & compiled code).
But I guess it would have to be trained specifically for every architechture.
What's more interesting to me would be a model that can automatically port a program between languages, such as converting a C program to a fairly idiomatic Rust program.
In copyright, "transformative" refers to modifying or adapting a copyrighted work in a way that creates a new and original expression; resulting in a new work with a different purpose or meaning.
In terms of code, you'd "just be transforming" the assembly code to a systems language of your choice.