https://github.com/alan-turing-institute/tapas
Science Score: 20.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
4 of 10 committers (40.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.1%) to scientific vocabulary
Keywords
Repository
Basic Info
Statistics
- Stars: 36
- Watchers: 16
- Forks: 15
- Open Issues: 45
- Releases: 0
Topics
Metadata Files
README.md
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
Evaluating the privacy of synthetic data with an adversarial toolbox. This code implements the TAPAS toolbox presented in the associated paper.
Reference
If you use this toolbox for a scientific publication, we kindly ask you to reference the paper:
Houssiau, F., Jordon, J., Cohen, S.N., Daniel, O., Elliott, A., Geddes, J., Mole, C., Rangel-Smith, C. and Szpruch, L., 2022. _TAPAS: a toolbox for adversarial privacy auditing of synthetic data._
In BibTex:
@article{houssiau2022tapas,
title={TAPAS: a toolbox for adversarial privacy auditing of synthetic data},
author={Houssiau, F and Jordon, J and Cohen, SN and Daniel, O and Elliott, A and Geddes, J and Mole, C and Rangel-Smith, C and Szpruch, L},
year={2022},
publisher={Neural Information Processing Systems Foundation}
}
Direct Installation
Requirements
The framework and its building blocks have been developed and tested under Python 3.9.
Poetry installation
To mimic our environment exactly, we recommend using poetry. To install poetry (system-wide), follow the instructions here.
Then run
poetry install
from inside the project directory. This will create a virtual environment (default .venv), that can be accessed by running poetry shell, or in the usual way (with source .venv/bin/activate).
Pip installation (includes command-line tool)
It is also possible to install from pip:
pip install git+https://github.com/alan-turing-institute/privacy-sdg-toolbox
Doing so installs a command-line tool, tapas, somewhere in your path. (Eg, on
a MacOS system with pip installed via homebrew, the tool ends up in a homebrew
bin director.)
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
Total
- Issues event: 1
- Watch event: 5
- Issue comment event: 1
- Fork event: 1
Last Year
- Issues event: 1
- Watch event: 5
- Issue comment event: 1
- Fork event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| fhoussiau | f****u@t****k | 37 |
| James Jordon | j****5@g****m | 13 |
| Camila Rangel Smith | c****h@g****m | 6 |
| James Geddes | j****s@t****k | 5 |
| andeElliott | a****t@g****m | 4 |
| Callum Mole | c****e@t****k | 2 |
| Nathan Simpson | n****n@t****k | 1 |
| James Geddes | g****s@m****m | 1 |
| Markus Hauru | m****s@m****g | 1 |
| Louis | l****d | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 62
- Total pull requests: 39
- Average time to close issues: about 1 month
- Average time to close pull requests: 6 days
- Total issue authors: 10
- Total pull request authors: 9
- Average comments per issue: 0.39
- Average comments per pull request: 0.69
- Merged pull requests: 38
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- hmsklv0 (1)
Pull Request Authors
- fhoussiau (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- 181 dependencies