Detecting Deepfakes Without Seeing Any
-
Updated
Jul 25, 2024 - Python
Detecting Deepfakes Without Seeing Any
DeepFake detection using GAN and DeepLearning
Deep-PoC is a deepFake detection tool designed to detect deepfakes from videos or images using artificial intelligence.
Application that detects the authenticity of audio files developed using the Random Forest Model.
A deep learning based research to encourage healthy online information sharing by detecting and removing deep-fakes to avoid the spread of misleading information on the internet.
Deep-fake medical image(X-ray) using GAN
A novel training framework for image-generating GANs which penalizes synthesis artifacts by computing a Fourier dissimilarity between synthesized and real images. Thus, it improves the detection evasiveness of GANs.
Research on possible strategies to perform artificial music detection through classical machine learning models
A semester project using ShuffleNet, MobileNetV3 Small & ResNet50 to classify real and fake faces with the specified dataset that taken from Kaggle.
Add a description, image, and links to the deep-fake-detection topic page so that developers can more easily learn about it.
To associate your repository with the deep-fake-detection topic, visit your repo's landing page and select "manage topics."