SWilliams20/Implementing-Robust-Watermarking-for-Model-Protection

Watermarking in Machine Learning Project

This repository contains code and data to demonstrate watermarking techniques within a machine learning project, specifically for text classification tasks.

Overview

The repository includes the following files and folders:

• README.md: Instructions on implementing watermarking in your project.
• watermarking_functions.py: Functions to embed and detect watermarks within a machine learning model.
• model_training.py: Script for creating and training a text classification model and embedding a watermark into it.
• demo_script.py: Script to demonstrate watermark detection from a model with an embedded watermark.
• sample_data/: Folder containing sample text data for training and testing the model.
• LICENSE: License file specifying terms of usage.

How to Use

1. Clone the Repository

Clone this repository to your local machine using the following command:

git clone https://huggingface.co/your-username/your-repository-name.git
cd your-repository-name