Detecting Deepfakes Without Seeing Any
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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
Research on possible strategies to perform artificial music detection through classical machine learning models
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.
A semester project using ShuffleNet, MobileNetV3 Small & ResNet50 to classify real and fake faces with the specified dataset that taken from Kaggle.
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