An Improved Dense CNN Architecture for Deepfake Image Detection

An Improved Dense CNN Architecture for Deepfake Image Detection

Recent advancements in computer vision processing need potent tools to create realistic deepfakes. A generative adversarial network (GAN) can fake the captured media streams, such as images, audio, and video, and make them visually fit other environments. So, the dissemination of fake media streams...

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Bibliographic Details
Main Authors: Yogesh Patel, Sudeep Tanwar, Pronaya Bhattacharya, Rajesh Gupta, Turki Alsuwian, Innocent Ewean Davidson, Thokozile F. Mazibuko
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deepfake detection
CNN
convolutional neural network
GAN
Online Access:https://ieeexplore.ieee.org/document/10057390/

Internet

https://ieeexplore.ieee.org/document/10057390/

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