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-0.0.5.tar.gz (22.2 kB view details)

Uploaded Source

Built Distribution

fawkes-0.0.5-py3-none-any.whl (31.4 kB view details)

Uploaded Python 3

File details

Details for the file fawkes-0.0.5.tar.gz.

File metadata

  • Download URL: fawkes-0.0.5.tar.gz
  • Upload date:
  • Size: 22.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.2

File hashes

Hashes for fawkes-0.0.5.tar.gz
Algorithm Hash digest
SHA256 fa74eb95f236b29a516c523dc8f7dce1997b438ebf4c621e58b1273c181e3614
MD5 dd06f3a6fdaabd28c483a88a2ecee2c3
BLAKE2b-256 9bdb89804e9f42cfac850077ff37c2662911cf0eb4fb4aee872efd142f61322c

See more details on using hashes here.

File details

Details for the file fawkes-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: fawkes-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 31.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.2

File hashes

Hashes for fawkes-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 9f0d34bc494214277925af64762dd497813d006cca3b18194aec64c05e68281c
MD5 7194e4568dcc161f13de35677896f0ef
BLAKE2b-256 b34ab1a51453cafca1f6dc750de980166260057ee64ede8d9d32951907fa286e

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