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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:

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