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.
Project Work in Generative Models UNIFI, Deep Fake Detection
UnFake is the first platform to integrate a deepfake detection tool directly into the image-downloading process. Check Live by pressing below link -->
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.
DeepFake Audio detection project using Wav2Vec2 for MOMENTA (Task for internship )
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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