https://github.com/google-deepmind/informed_adversary_mnist_reconstruction
https://github.com/google-deepmind/informed_adversary_mnist_reconstruction
Science Score: 23.0%
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
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (7.7%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: google-deepmind
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 21.5 KB
Statistics
- Stars: 16
- Watchers: 5
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
informedadversarymnist_reconstruction
This is a minimal implementation of a training data reconstruction attack with an informed adversary on MNIST, as described in Balle et al. (2021).
Usage
Usage instructions are included in the Colabs which open and run on the free-to-use Google Colab platform - just click the buttons below! Improved performance and longer timeouts are available with Colab Pro.
informedadversarymnistreconstruction [](https://colab.research.google.com/github/deepmind/informedadversarymnistreconstruction/blob/master/informedadversarymnist_reconstruction.ipynb)
Citing this work
If you use this code (or any derived code), please cite the relevant accompanying paper.
@INPROCEEDINGS {,
author = {B. Balle and G. Cherubin and J. Hayes},
booktitle = {2022 2022 IEEE Symposium on Security and Privacy (SP) (SP)},
title = {Reconstructing Training Data with Informed Adversaries},
year = {2022},
volume = {},
issn = {2375-1207},
pages = {1556-1556},
keywords = {machine-learning,-neural-networks,-reconstruction-attacks,-differential-privacy},
doi = {10.1109/SP46214.2022.00127},
url = {https://doi.ieeecomputersociety.org/10.1109/SP46214.2022.00127},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {may}
}
Disclaimer
This is not an official Google product.
Owner
- Name: Google DeepMind
- Login: google-deepmind
- Kind: organization
- Website: https://www.deepmind.com/
- Repositories: 245
- Profile: https://github.com/google-deepmind
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