Topics API Analysis

DOI (v2.0): 10.5281/zenodo.11229402.

This repository provides the experimental results of the paper The Privacy-Utility Trade-off in the Topics API (DOI: 10.1145/3658644.3670368; arXiv: 2406.15309).

Usage

The notebooks were run using:

Python v3.11.9
bvmlib v1.0.0
matplotlib 3.8.0
numpy 1.24.3
pandas 2.0.1
qif 1.2.3
requests 2.31.0
scipy 1.11.3
tldextract 5.1.2
tqdm 4.66.1
urllib3 1.26.16

Please note that qif, as of version 1.2.3, is not compatible with Apple Silicon processors. This is a known issue already reported on the module's GitHub repository: Support for M1 Mac.

The datasets produced for the experimental analyses can be found on Zenodo: AOL Dataset for Browsing History and Topics of Interest (DOI: 10.5281/zenodo.11229615).

Installation

For convenience, create a Python virtual environment before installing the required packages:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Data treatment

The data treatment notebooks are primarily for reference and were used to generate the AOL Dataset for Browsing History and Topics of Interest (DOI: 10.5281/zenodo.11229615) files.

To execute the analyses notebooks, please make sure to add to the folder data-treatment/ the respective files from the AOL Dataset for Browsing History and Topics of Interest (DOI: 10.5281/zenodo.11229615).

Analyses

To execute the analyses notebooks, please make sure to add to the folder analyses/ the respective files from the AOL Dataset for Browsing History and Topics of Interest (DOI: 10.5281/zenodo.11229615).

License

GNU GPLv3.

To understand how the various GNU licenses are compatible with each other, please refer to the GNU licenses FAQ.