Generative Adversarial Networks for Deepfake Generation
Location
Russell Student Union, Statesboro Campus- Room 2052
Document Type and Release Option
Thesis Presentation (Restricted to Georgia Southern)
Faculty Mentor
Dr. Hayden Wimmer
Faculty Mentor Email
hwimmer@georgiasouthern.edu
Presentation Year
2021
Start Date
17-11-2021 7:05 PM
End Date
17-11-2021 8:05 PM
Keywords
Georgia Southern University, Honors College, Honors Symposium, Presentation
Description
Deep learning is a type of Artifcial Intelligence that mimics the workings of the human brain in processing data such as speech recognition, object detection, and making decisions. Deepfakes are a machine learning technique where a person in an existing image or video is replaced by someone else’s likeness. In this project we develop a Generative Adversarial Network to generate deepfakes and develop a survey to determine if participants can identify authentic versus deepfake images.
Academic Unit
Allen E. Paulson College of Engineering and Computing
Generative Adversarial Networks for Deepfake Generation
Russell Student Union, Statesboro Campus- Room 2052
Deep learning is a type of Artifcial Intelligence that mimics the workings of the human brain in processing data such as speech recognition, object detection, and making decisions. Deepfakes are a machine learning technique where a person in an existing image or video is replaced by someone else’s likeness. In this project we develop a Generative Adversarial Network to generate deepfakes and develop a survey to determine if participants can identify authentic versus deepfake images.
Comments
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