Preliminary Forensics Analysis of DeepFake Images

04/27/2020
by   Luca Guarnera, et al.
13

One of the most terrifying phenomenon nowadays is the DeepFake: the possibility to automatically replace a person's face in images and videos by exploiting algorithms based on deep learning. This paper will present a brief overview of technologies able to produce DeepFake images of faces. A forensics analysis of those images with standard methods will be presented: not surprisingly state of the art techniques are not completely able to detect the fakeness. To solve this, a preliminary idea on how to fight DeepFake images of faces will be presented by analysing anomalies in the frequency domain.

READ FULL TEXT

page 1

page 4

page 5

research
05/15/2018

Learning to Deblur Images with Exemplars

Human faces are one interesting object class with numerous applications....
research
10/03/2019

Vulnerability of Face Recognition to Deep Morphing

It is increasingly easy to automatically swap faces in images and video ...
research
01/08/2018

Identity-preserving Face Recovery from Portraits

Recovering the latent photorealistic faces from their artistic portraits...
research
11/08/2021

A Study of the Human Perception of Synthetic Faces

Advances in face synthesis have raised alarms about the deceptive use of...
research
06/14/2021

More Real than Real: A Study on Human Visual Perception of Synthetic Faces

Deep fakes became extremely popular in the last years, also thanks to th...
research
04/03/2013

A software for aging faces applied to ancient marble busts

The study and development of software able to show the effect of aging o...
research
04/02/2019

SafeAccess: Towards a Dialogue Enabled Access to the Smart Home for the Friends and Families

SafeAccess is an interactive assistive technology solution to enhance th...

Please sign up or login with your details

Forgot password? Click here to reset