/CS590DLS

Course Project for CS590 Deep Learning and Symbolic Reasoning

Primary LanguagePython

CS590DLS

This repository contains the code used for CS590 DLS project. This project utilizes inst2vec embeddings for source code vulnerability detection.

Code

Requirements

For training inst2vec embeddings:

  • GNU / Linux or Mac OS
  • Python (3.6.5)
    • tensorflow (1.7.0) or preferably: tensorflow-gpu (1.7.0)
    • networkx (2.1)
    • scipy (1.1.0)
    • absl-py (0.2.2)
    • jinja2 (2.10)
    • bokeh (0.12.16)
    • umap (0.1.1)
    • sklearn (0.0)
    • wget (3.2)

Additionally, for training vulnerability detection model:

  • GNU / Linux or Mac OS
  • Python (3.6.5)
    • labm8 (0.1.2)
    • keras (2.2.0)

Running the code

1. Download Dataset

One can download the dataset automatically by running

$ python data_download.py

2. inst2vec embeddings

One can download the pre-trained embeddings from https://drive.google.com/open?id=1Kmd6AVZQKvfhhmfdCMikzJLQri_J17u6. Place the pretrained files in a folder named pretrained.

3. Training Vulnerability Detection Model

Train:

$ python train.py