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Comments (4)

zym-wade avatar zym-wade commented on June 20, 2024

Hello, do you know how to generate ACFG

from dnn-binary-code-similarity.

bangin20 avatar bangin20 commented on June 20, 2024

I would like to know how they generated input feature json file as well. I don't have any idea to change my binary into the valid input format

from dnn-binary-code-similarity.

island255 avatar island255 commented on June 20, 2024

Actually, I noticed that Genius has used the same feature as Gemini and this is the repo of Genius: https://github.com/qian-feng/Gencoding

What confuses me now is that Gemini seems to have 7 features, but Genius generates 8 features. Besides, they all illustrate 8 features in their paper but the sequence of generated features seems different from that. Moreover, I did not find the feature: Betweenness. That's wired.

from dnn-binary-code-similarity.

Pypy233 avatar Pypy233 commented on June 20, 2024

Actually, I noticed that Genius has used the same feature as Gemini and this is the repo of Genius: https://github.com/qian-feng/Gencoding

What confuses me now is that Gemini seems to have 7 features, but Genius generates 8 features. Besides, they all illustrate 8 features in their paper but the sequence of generated features seems different from that. Moreover, I did not find the feature: Betweenness. That's wired.

I think they removed Betweenness , it requires only basic block-level attributes and the number of offspring (which is cheap to compute)

from dnn-binary-code-similarity.

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