A list of tools, papers and code related to Deepfake Detection.

A prize winning solution for DFDC challenge

A curated list of articles and codes related to face forgery generation and detection.

Towards deepfake detection that actually works

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

Python library for analysing faces using PyTorch

A curated list of awesome Deepfakes materials

Liveness detection SDK Linux - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

Face Liveness Detection SDK - iBeta level 2 compliant passive face liveness detection SDK which can detect printed photos, video replay, 3D masks, and deepfake threats

A Survey on Deepfake Generation and Detection

Liveness detection SDK Android - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

Video Face Manipulation Detection Through Ensemble of CNNs

papers about faceSwap

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

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

[CVPR 2022 Oral] Detecting Deepfakes with Self-Blended Images https://arxiv.org/abs/2204.08376

A survey and reflection on the latest research breakthroughs in LLM-generated Text detection, including data, detectors, metrics, current issues and future directions.

The approach I work on DeepFake.

Official implementation of ID-unaware Deepfake Detection Model