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deepsteg's Introduction

Steganalysis with EfficientNet and Vision Transformer

Overview

This project integrates EfficientNet B6 and Vision Transformer (ViT) for advanced image steganalysis. Aimed at detecting hidden information within digital images, our approach leverages the strengths of both architectures to improve detection accuracy and efficiency.

Installation

Install dependencies: ./setup.sh

Usage

To train the model: python train_models.py --model efficientnet-b6 --batch_size 32 --checkpoint_dir checkpoints/

Features

  • Integration of EfficientNet B6 and ViT for robust steganalysis
  • Comprehensive performance evaluation metrics
  • Detailed quantitative and qualitative analysis with weights and biases

Contributing

Contributions are welcome! Please fork the repository and submit pull requests with your enhancements.

Contact

Vignesh Sivakumar - [[email protected]] - [https://github.com/knoxrm]

deepsteg's People

Contributors

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