DeepFake Detection

32 papers with code • 3 benchmarks • 9 datasets

DeepFakes involves videos, often obscene, in which a face can be swapped with someone else’s using neural networks. DeepFakes are a general public concern, thus it's important to develop methods to detect them.

Description source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Image source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Greatest papers with code

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

deepfakes/faceswap 1 Jan 2020

The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications towards society in this era of fake news.

DeepFake Detection Face Generation +1

FaceForensics++: Learning to Detect Manipulated Facial Images

ondyari/FaceForensics 25 Jan 2019

In particular, the benchmark is based on DeepFakes, Face2Face, FaceSwap and NeuralTextures as prominent representatives for facial manipulations at random compression level and size.

DeepFake Detection Face Swapping +2

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

clpeng/Awesome-Face-Forgery-Generation-and-Detection 27 Feb 2021

The creation and the manipulation of facial appearance via deep generative approaches, known as DeepFake, have achieved significant progress and promoted a wide range of benign and malicious applications.

DeepFake Detection Face Swapping

MesoNet: a Compact Facial Video Forgery Detection Network

DariusAf/MesoNet 4 Sep 2018

This paper presents a method to automatically and efficiently detect face tampering in videos, and particularly focuses on two recent techniques used to generate hyper-realistic forged videos: Deepfake and Face2Face.

DeepFake Detection Face Swapping +2

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

danmohaha/celeb-deepfakeforensics CVPR 2020

AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information.

DeepFake Detection Face Swapping

One Shot Face Swapping on Megapixels

zyainfal/One-Shot-Face-Swapping-on-Megapixels CVPR 2021

Extensive experiments demonstrate the superiority of MegaFS and the first megapixel level face swapping database is released for research on DeepFake detection and face image editing in the public domain.

DeepFake Detection Face Swapping +1

The DeepFake Detection Challenge (DFDC) Dataset

polimi-ispl/icpr2020dfdc 12 Jun 2020

In addition to Deepfakes, a variety of GAN-based face swapping methods have also been published with accompanying code.

DeepFake Detection Face Swapping

Video Face Manipulation Detection Through Ensemble of CNNs

polimi-ispl/icpr2020dfdc 16 Apr 2020

In this paper, we tackle the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques.

 Ranked #1 on DeepFake Detection on DFDC (LogLoss metric)

DeepFake Detection Detecting Image Manipulation +5

Unmasking DeepFakes with simple Features

cc-hpc-itwm/UpConv 2 Nov 2019

In this work, we present a simple way to detect such fake face images - so-called DeepFakes.

DeepFake Detection