Date of Award

5-2023

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Engineering and Sciences

First Advisor

Michael King

Second Advisor

Jignya Patel

Third Advisor

William Allen

Fourth Advisor

Philip Bernhard

Abstract

Since the 2000s, social media has allowed individuals the ability to communicate online. As the popularity of social media increased, the sharing of information such as pictures increased as well. Recently, there have been privacy concerns about the information shared online such as cases where third parties were able to gain access to users’ information without being given explicit access through scraping or other means. When user images are scraped from social media, there is a risk that these individuals can be identified o✏ine. Bystanders, who may be captured in images also run this risk of identification. This research investigates the application of open-source face image manipulation techniques to protect the facial privacy of images uploaded onto a social media network. By integrating techniques such as cloaking, face-swapping, and face-morphing into the image upload process, this research aims to present a proof of concept for a facial privacy-preserving social media network

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