LDP Toolbox: Exploring Utility and Attackability Tradeoffs in Local Differential Privacy

LDP Toolbox is a Python package for analyzing, comparing, and visualizing Local Differential Privacy (LDP) protocols and their trade-offs between utility, privacy, and attackability.

This toolbox provides:

• 📊 Interactive dashboards powered by Dash
• ⚙️ Protocol implementations for frequency estimation tasks
• 🗂️ Visual tools to compare utility loss (e.g., MSE, KL-divergence), attackability, and privacy budget ε
• 📈 Upload your own data to explore privacy-utility trade-offs

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📜 Citation

If you use this toolbox or our work in your research, please cite our paper: Haoying Zhang, Abhishek K. Mishra, and Héber H. Arcolezi. 2025. "Demo: Exploring Utility and Attackability Trade-offs in Local Differential Privacy". In Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security (CCS '25). Association for Computing Machinery, New York, NY, USA, 4728–4730. https://doi.org/10.1145/3719027.3760706

@inproceedings{Zhang2025,
author = {Zhang, Haoying and Mishra, Abhishek K. and Arcolezi, H\'{e}ber H.},
title = {Demo: Exploring Utility and Attackability Trade-offs in Local Differential Privacy},
year = {2025},
isbn = {9798400715259},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3719027.3760706},
doi = {10.1145/3719027.3760706},
booktitle = {Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security},
pages = {4728–4730},
numpages = {3},
keywords = {local differential privacy, open source., privacy-utility trade-off},
location = {Taipei, Taiwan},
series = {CCS '25}
}

🚀 Installation

LDP Toolbox is available on PyPI. Install it with:

pip install ldp-toolbox

⚡ Usage

After installation, you can launch the dashboard in two ways:

✅ Option 1 — Using the CLI (recommended)

Run directly from the terminal:

ldp-toolbox

✅ Option 2 — Using Python module

Alternatively, you can run it as a module:

python -m ldp_toolbox.toolbox.app

Or if you prefer, you can embed the app in your own code:

from ldp_toolbox.toolbox.app import app

if __name__ == "__main__":
    app.run(debug=True)

📁 Project Structure

• ldp_toolbox/
  • protocols/ — Core LDP protocol implementations
  • toolbox/ — Dash front-end app (assets/, pages/, app.py)

Example datasets (data/) are provided in this repository for demonstration and local testing, but are not shipped with the PyPI package.

🎥 Demonstration video

A recorded demonstration video is available at: Demo

🤝 Contributing

LDP-Toolbox is a work in progress, and we expect to release new versions frequently, incorporating feedback and code contributions from the community.

1. Fork this repo.
2. Create a feature branch.
3. Submit a pull request.

📬 Contact Authors

• Haoying Zhang
• Abhishek K. Mishra
• Héber H. Arcolezi

📝 License

This project is licensed under the MIT License.