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I have thought about doing something similar for heavily obfuscated JavaScript. Very useful for security research I imagine!


Ideally, with a substantial dataset of obfuscated JavaScript and corresponding raw code, a language model could potentially make good predictions. The first key difficulty, however, is collecting a large-scale dataset and setting up a system for automatic compilation and segment out the binary-source pairs.




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