# dnn-binary-code-similarity

**Repository Path**: sakura_cy/dnn-binary-code-similarity

## Basic Information

- **Project Name**: dnn-binary-code-similarity
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2019-11-25
- **Last Updated**: 2024-05-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DNN Binary Code Similarity Detection
This repo provides an implementation of the Gemini network for binary code similarity detection in [this paper](https://arxiv.org/abs/1708.06525).

## Prepration and Data
Unzip the data by running:
```bash
unzip data.zip
```

The network is written using Tensorflow 1.4 in Python 2.7. You can install the dependencies by running:
```bash
pip install -r requirements.txt
```

## Model Implementation
The model is implemented in `graphnnSiamese.py`.

Run the following code to train the model:
```bash
python train.py
```
or run `python train.py -h` to check the optional arguments.

After training, run the following code to evaluate the model:
```bash
python eval.py
```
or run `python eval.py -h` to check the optional arguments.