Skip to main content

An utility to protect user privacy

Project description

Fawkes

Fawkes is a privacy protection system developed by researchers at University of Chicago. For more information about the project, please refer to our project webpage.

We published an academic paper to summary our work "Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models" at USENIX Security 2020.

BEFORE YOU RUN OUR CODE

If you are a developer or researcher planning to customize and modify on our existing code. Please refer to fawkes_dev.

How to protect my image

Citation

@inproceedings{shan2020fawkes,
  title={Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models},
  author={Shan, Shawn and Wenger, Emily and Zhang, Jiayun and Li, Huiying and Zheng, Haitao and Zhao, Ben Y},
  booktitle="Proc. of USENIX Security",
  year={2020}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fawkes-0.0.3.tar.gz (24.2 kB view details)

Uploaded Source

Built Distribution

fawkes-0.0.3-py3-none-any.whl (25.5 kB view details)

Uploaded Python 3

File details

Details for the file fawkes-0.0.3.tar.gz.

File metadata

  • Download URL: fawkes-0.0.3.tar.gz
  • Upload date:
  • Size: 24.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.8.0 tqdm/4.19.9 CPython/3.6.2

File hashes

Hashes for fawkes-0.0.3.tar.gz
Algorithm Hash digest
SHA256 5c4a590f362ab80c6f485ab736870895ed15bd3769b7c5ace19854e0e803e0d7
MD5 078d9a17c143ec2230c13979f325f8ae
BLAKE2b-256 7a7ac53ad19a7ab648b475d4330444eeb2abcfc273724a6fcd955134b60ad082

See more details on using hashes here.

File details

Details for the file fawkes-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: fawkes-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 25.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.8.0 tqdm/4.19.9 CPython/3.6.2

File hashes

Hashes for fawkes-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b352df2374077cbd0f9747d1b545101e5ca20795d65cb78c4195dbf607d89200
MD5 fbad77ac3444e88e18dccd47cbd3e235
BLAKE2b-256 5415e607ed263650525a2c10631079e115e6e8f72e64ea8059e7573e50f5727c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page