Giter VIP home page Giter VIP logo

streamdp-benchmark's Introduction

Benchmarking the Utility of $w$-event Differential Privacy Mechanisms -- When Baselines Become Mighty Competitors

This code corresponds to the paper: Schäler, C., Hütter, T., & Schäler, M. (2023). Benchmarking the Utility of w-Event Differential Privacy Mechanisms-When Baselines Become Mighty Competitors. Proceedings of the VLDB Endowment, 16(8), 1830-1842.

Software requirements

The following list of software is required to execute the experiments:

  • bash
  • python 3
  • curl
  • java jdk
  • java jre
  • docker
  • excel (for ploting)

Reproduce the experiments

We provide a convenience script to perform the experiments and plot the results shown in Schäler et al. (2023). Note that we assume that all datasets are stored in ./data. However, due to conflicting licenses, we are not allowed to share the experimental data publicly. The convenience script is executed from the root directory of the repository as follows:

sh scripts/perform-experiment.sh

After running the experiments, the aggregated raw data for Figures 2a, 2b, 3, 5 and 6, as well as Table 6 are located in the ./figures directory. To plot the data, open the vldb reproducability.xlsx file, also located in ./figures directory. It contains a tab for each .tsv file following the same naming convention

Further note that the experiments take approximately 24 hours to complete.

Citation:

If you use this code for your work, please cite our paper:

@article{schaeler2023dpbench,
  author = {Sch\"{a}ler, Christine and H\"{u}tter, Thomas and Sch\"{a}ler, Martin},
  title = {Benchmarking the Utility of w-Event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors},
  year = {2023},
  issue_date = {April 2023},
  publisher = {VLDB Endowment},
  volume = {16},
  number = {8},
  issn = {2150-8097},
  url = {https://doi.org/10.14778/3594512.3594515},
  doi = {10.14778/3594512.3594515},
  journal = {Proc. VLDB Endow.},
  month = {apr},
  pages = {1830-1842},
  numpages = {13}
}

Visit also our project website: https://dbresearch.uni-salzburg.at/projects/dpbench/index.html.

streamdp-benchmark's People

Contributors

thuetter avatar chryenix avatar

Stargazers

tianyuli_sg avatar  avatar  avatar Spongeplus avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.