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

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

Helpful resources for creating deepfakes.

Deepfake Audio and Voice Detector

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.