https://github.com/brucemacd/adversarial-faces

Testing the effectiveness of practical implementations of adversarial examples against facial recognition.
https://github.com/brucemacd/adversarial-faces

Last synced: over 1 year ago
JSON representation

Testing the effectiveness of practical implementations of adversarial examples against facial recognition.

• Host: GitHub
• URL: https://github.com/brucemacd/adversarial-faces
• Owner: BruceMacD
• Created: 2019-05-08T04:39:24.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2025-02-18T17:59:36.000Z (over 1 year ago)
• Last Synced: 2025-03-29T12:06:57.609Z (over 1 year ago)
• Language: Python
• Size: 80.3 MB
• Stars: 137
• Watchers: 6
• Forks: 18
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Adversarial-Faces

![mock mask](https://raw.githubusercontent.com/BruceMacD/Adversarial-Faces/master/data/mock_mask.png)

Testing the effectiveness of practical implementations of adversarial examples against facial recognition.

Check out the accompanying blog: https://medium.com/@brucewmacdonald/fooling-facial-detection-with-fashion-d668ed919eb

## Dependencies

    OpenCV v3.0+

    PIL (Pillow)

    dlib

    mlrose

    numpy

    Python 3

### * Featured in the Museum of Technology (Vienna) in an exhibition on robotics and artificial intelligence, November 2020