17 results for “topic:deep-fake-detection”
Detecting Deepfakes Without Seeing Any
DeepFake detection using GAN and DeepLearning
Comprehensive Protection Against Deepfakes, Deepnudes & Harmful Content
🚀 Deepfake Detector – Open-source tool to spot fake images, videos & audio using EfficientNetV2 + MTCNN. ⚡ Frame-by-frame analysis for high-accuracy detection, built simple for researchers, devs & security analysts.
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.
UnFake is the first platform to integrate a deepfake detection tool directly into the image-downloading process. Check Live by pressing below link -->
Project Work in Generative Models UNIFI, Deep Fake Detection
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.
DeepFake Audio detection project using Wav2Vec2 for MOMENTA (Task for internship )
Deepfake Detection using SWIN Transformer
Deep-fake medical image(X-ray) using GAN
A semester project using ShuffleNet, MobileNetV3 Small & ResNet50 to classify real and fake faces with the specified dataset that taken from Kaggle.
Research on possible strategies to perform artificial music detection through classical machine learning models
On this repo there is a University project about the course of Signal, Image and Video where a constraint was to bulid a project where AI is just a narrow task and not the whole implementation of the project. I will just use AI as a comparison with traditional techniques of video processing.
A cinematic AI command center leveraging Gemini 2.5 Flash to detect multimodal scams through real-time audio, image, and text threat intelligence.
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.