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implementation of DeepVulSeeker

License: MIT License

Shell 47.88% Python 27.28% Scala 5.75% SuperCollider 2.95% Batchfile 16.13%

deepvulseeker's Introduction

DeepVulSeeker

implementation of DeepVulSeeker

Notice

We will rebulid our project in several months using pytorch.

Data prepara

Please prepare the jsonl files for the training set, validation set and test set. The dataset processing file is in process directory All programs are running in pyCharm

build y

run build_y.py

build ast

run slice_raw.py
run build_dot.py
run build_ast.py

build cfg and dfg

run build_cfgdfg.py

build pls

get special words

run Specialword.py

train

In the root directory

run train.py

deepvulseeker's People

Contributors

wj-8 avatar

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