Comments (4)
Hello, do you know how to generate ACFG
from dnn-binary-code-similarity.
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.
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.
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.
Related Issues (10)
- solved
- I want to know how you get ACFG,and you can provide your dataset?Thank you very much. HOT 1
- May I ask, whether you generate these vectors in the txt files through structure2vec?
- May i ask whether your experimental result contain top1,top10 and so on? HOT 1
- Would you give me the similarity testing set and large-graph subset etc
- May I ask, could you give me the plugin of IDA pro to extract the ACFG? HOT 2
- python3 and tensorflow2 support
- training auc is equal validation auc?
- Hello, I need the data set mentioned in your paper
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from dnn-binary-code-similarity.