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​Protecting Facial Privacy Through Face Swapping

This project develops privacy mechanisms for clinical video observation sessions, specifically focusing on mechanisms that protect the facial identity of the child under observation while retaining gaze and expression based information which is critical for diagnostic assessments.

Funding source(s):

  1. NIH R21 “Protecting the privacy of the child through facial identity removal in recorded behavioral observation sessions” (2020-2022)

Publications

Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy

Wilson, Ethan and Shic, Frederick and Skytta, Jenny and Jain, Eakta.  Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy.  arXiv preprint arXiv:2204.03559.  (2022)

Resources:

 

@misc{wilson_digitaldisguises_2022,
author = {Wilson, Ethan and Shic, Frederick and Skytta, Jenny and Jain, Eakta},
title = {Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacy},
publisher = {arXiv},
year = {2022}
}​​

digital_disguises_teaser_figure.png

The Uncanniness of Face Swaps

Wilson, Ethan and Persaud, Aidan and Esposito, Nicholas and Joerg, Sophie and Shic, Frederick and Patra, Rohit and Skytta, Jenny and Jain, Eakta.  The Uncanniness of Face Swaps.  Journal of Vision 2022;22(14):4225.  (2022)

Resources:

 

@article{wilson_uncanniness_2022,

title={The Uncanniness of Face Swaps},

author={Wilson, Ethan and Persaud, Aidan and Esposito, Nicholas and Joerg, Sophie and Patra, Rohit and Shic, Frederick and Skytta, Jenny and Jain, Eakta},

journal={Journal of Vision},

volume={22},

number={14},

pages={4225--4225},

year={2022},

publisher={The Association for Research in Vision and Ophthalmology}

}

uncanniness_figure.png

Annotation System For Aiding Automatic Face Detectors

Wilson, Ethan and Skytta, Jenny and Shic, Frederick and Jain, Eakta.  Annotation System for Aiding Automatic Face Detectors.  University of Florida Technical Report.  (2021)

Resources:

 

@techreport{wilson_annotation_2021,
title = {Annotation System For Aiding Automatic Face Detectors},
author = {Ethan Wilson and Jenny Skytta and Frederick Shic and Eakta Jain},
year = {2021},
institution = {University of Florida}
}

transparent_800by600.png

Benchmarking Face Detectors

Wilson, Ethan and Skytta, Jenny and Shic, Frederick and Jain, Eakta.  Benchmarking Face Detectors.  University of Florida Technical Report.  (2021)

Resources:

 

@techreport{wilson_benchmarking_2021,
title = {Benchmarking Face Detectors},
author = {Ethan Wilson and Jenny Skytta and Frederick Shic and Eakta Jain},
year = {2021},
institution = {University of Florida}
}

transparent_800by600.png
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