DeepFake MNIST+: A DeepFake Facial Animation Dataset

08/18/2021
by   Jiajun Huang, et al.
17

The DeepFakes, which are the facial manipulation techniques, is the emerging threat to digital society. Various DeepFake detection methods and datasets are proposed for detecting such data, especially for face-swapping. However, recent researches less consider facial animation, which is also important in the DeepFake attack side. It tries to animate a face image with actions provided by a driving video, which also leads to a concern about the security of recent payment systems that reply on liveness detection to authenticate real users via recognising a sequence of user facial actions. However, our experiments show that the existed datasets are not sufficient to develop reliable detection methods. While the current liveness detector cannot defend such videos as the attack. As a response, we propose a new human face animation dataset, called DeepFake MNIST+, generated by a SOTA image animation generator. It includes 10,000 facial animation videos in ten different actions, which can spoof the recent liveness detectors. A baseline detection method and a comprehensive analysis of the method is also included in this paper. In addition, we analyze the proposed dataset's properties and reveal the difficulty and importance of detecting animation datasets under different types of motion and compression quality.

READ FULL TEXT

page 3

page 5

page 8

page 13

page 14

research
02/02/2021

Facial Manipulation Detection Based on the Color Distribution Analysis in Edge Region

In this work, we present a generalized and robust facial manipulation de...
research
12/26/2018

Deception Detection by 2D-to-3D Face Reconstruction from Videos

Lies and deception are common phenomena in society, both in our private ...
research
09/21/2021

Finding Facial Forgery Artifacts with Parts-Based Detectors

Manipulated videos, especially those where the identity of an individual...
research
09/04/2018

MesoNet: a Compact Facial Video Forgery Detection Network

This paper presents a method to automatically and efficiently detect fac...
research
12/07/2022

Face Forgery Detection Based on Facial Region Displacement Trajectory Series

Deep-learning-based technologies such as deepfakes ones have been attrac...
research
04/16/2020

Video Face Manipulation Detection Through Ensemble of CNNs

In the last few years, several techniques for facial manipulation in vid...
research
07/05/2022

Detecting and Recovering Sequential DeepFake Manipulation

Since photorealistic faces can be readily generated by facial manipulati...

Please sign up or login with your details

Forgot password? Click here to reset