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

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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:

bash

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

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

Watermarking in Machine Learning Project

Overview

How to Use

1. Clone the Repository

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