privacy-lab

Privacy Lab is an application and utility created to help firms explore how privacy-enhancing technologies (PETs) can be incorporated into digital advertising workflows and how doing so may impact their advertising operations.

Quick Start - Web API Interface

Privacy Lab now includes a REST API and web interface for easy access to the PET workflows:

Start the API Server

./start_api.sh

The API will be available at http://localhost:8000 with interactive docs at http://localhost:8000/docs

Start the Web Interface

./start_web.sh

Then open http://localhost:8080 in your browser

API Usage Example

# Differential Privacy
curl -X POST http://localhost:8000/api/differential-privacy \
  -H "Content-Type: application/json" \
  -d '{"epsilon": 1.0, "use_sample_data": true}'

See README_API.md for complete API documentation.

Measurement and Attribution Workflow Variants Incorporating PETs

The notebook directory contains a Jupyter notebook with interactive examples that illustrate how selected PETs can be used to protect users' PII within a common digital advertising use case: measurement and attribution for digital advertising campaigns. The example workflows are informed by the IAB Tech Lab Attribution Data Matching Protocol (ADMaP) specification and incorporate Universal CAPI v1. The included workflow variants are enumerated below.

• Privacy-preserving aggregation of conversion data using k-anonymity
• Privacy-preserving aggregation of conversion data using differential privacy (DP)
• Privacy-preserving filtered aggregation of conversion data using homomorphic encryption