Fawkes

Fawkes

Fawkes is a free, open-source tool that helps protect your privacy on social media by making tiny changes to your photos before you post them online. This prevents facial recognition systems from identifying you without changing how your photos look to the human eye.
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Fawkes: Protect Your Privacy

Free, open-source tool making tiny changes to your photos before posting to prevent facial recognition on social media

What is Fawkes?

Fawkes is a free, open-source privacy protection system developed by researchers at Sandlab, a group within the Computer Science department at the University of Chicago. It helps prevent unauthorized facial recognition of you based on your online photos.

It works by making subtle changes to your photos that are imperceptible to the human eye before you post them publicly online. Specifically, it adds or alters pixels in the image that trick facial recognition systems into misidentifying you while not noticeably altering the photo appearance.

When used routinely over time, Fawkes causes your face to be recognized differently across various online platforms and facial recognition systems. This prevents companies from combining those profiles and tracking you without your consent. Fawkes helps you retain control over your biometric privacy.

The tool is available for Windows, Mac, and Linux operating systems. It plugs into your existing photo sharing workflows. You can continue posting photos normally while your privacy is enhanced automatically behind the scenes without having to change your habits.

Fawkes is named after the famously difficult to recognize character in graphic novel V for Vendetta. It aims to give regular individuals that same protection from unwarranted identification and tracking of their personal lives.

Fawkes Features

Features

  1. Cloaks faces in images to avoid facial recognition
  2. Open source and free to use
  3. Works on major social media sites
  4. Makes minimal changes to images

Pricing

  • Open Source

Pros

Protects privacy

Easy to use

Effective against facial recognition

Cons

May not work perfectly on all images

Requires some technical skill to set up and use


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