Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.

Determine whether a given video sequence has been manipulated or synthetically generated

Audio deepfake detection sytem on CNN

Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]

Deepfake Detector is an AI/ML model designed to detect AI-generated or manipulated images.

A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures

Summary of my research in Deepfake Detection

Helpful resources for creating deepfakes.

Deepfake Audio and Voice Detector

An advanced web application that detects deepfake content in uploaded videos using AI-powered analysis with real-time monitoring and diagnostics.

Open Source Deepfake Detection Models in One Place

Towards deepfake detection that actually works

A deepfake detection / classificatrion using CNNs models with PyTorch lib based on the ICPR2020 project.

Classification of real-fake faces using neural networks.

Deep fake detection of videos utilizing scatternet layers.

Prototipo web con TFJS para detectar imágenes falsas "DeepFake" utilizando redes neuronales convolucionales.

This repository contains a machine learning-based system to detect deepfake (synthetic) voices. It leverages audio feature extraction techniques such a Yamnet , and deep learning models (ANN,CNN, RNN) to distinguish real and fake audio. The project includes data preprocessing, model training, evaluation, and a simple API for inference.

A deepfake detection / classificatrion using CNNs models with Keras and Tensorflow lib.

This project compares CNN and ViT models in detecting deepfake audio by analyzing mel-spectrograms of speech. Performance is evaluated based on accuracy and robustness.