Media forensics and deepfakes: an overview

L Verdoliva - IEEE journal of selected topics in signal …, 2020 - ieeexplore.ieee.org
With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

How do the hearts of deep fakes beat? deep fake source detection via interpreting residuals with biological signals

UA Ciftci, I Demir, L Yin - 2020 IEEE international joint …, 2020 - ieeexplore.ieee.org
Fake portrait video generation techniques have been posing a new threat to the society with
photorealistic deep fakes for political propaganda, celebrity imitation, forged evidences, and …

Deepfakeson-phys: Deepfakes detection based on heart rate estimation

J Hernandez-Ortega, R Tolosana, J Fierrez… - arXiv preprint arXiv …, 2020 - arxiv.org
This work introduces a novel DeepFake detection framework based on physiological
measurement. In particular, we consider information related to the heart rate using remote …

Forensics and analysis of deepfake videos

MT Jafar, M Ababneh, M Al-Zoube… - … on information and …, 2020 - ieeexplore.ieee.org
The spread of smartphones with high quality digital cameras in combination with easy
access to a myriad of software apps for recording, editing and sharing videos and digital …

GAN-generated image detection with self-attention mechanism against GAN generator defect

Z Mi, X Jiang, T Sun, K Xu - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
With Generative adversarial networks (GAN) achieving realistic image generation, fake
image detection research has become an imminent need. In this paper, a novel detection …

Exploiting prediction error inconsistencies through LSTM-based classifiers to detect deepfake videos

I Amerini, R Caldelli - Proceedings of the 2020 ACM workshop on …, 2020 - dl.acm.org
The ability of artificial intelligence techniques to build synthesized brand new videos or to
alter the facial expression of already existing ones has been efficiently demonstrated in the …

Look locally infer globally: A generalizable face anti-spoofing approach

D Deb, AK Jain - IEEE Transactions on Information Forensics …, 2020 - ieeexplore.ieee.org
State-of-the-art presentation attack detection approaches tend to overfit to the presentation
attack instruments seen during training and fail to generalize to unknown presentation attack …

An exploratory analysis on visual counterfeits using conv-lstm hybrid architecture

MF Hashmi, BKK Ashish, AG Keskar, ND Bokde… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, with the advancements in the Deep Learning realm, it has been easy to
create and generate synthetically the face swaps from GANs and other tools, which are very …

[PDF][PDF] An overview of face manipulation detection

X Ju - Journal of Cybersecurity, 2020 - cdn.techscience.cn
Due to the power of editing tools, new types of fake faces are being created and
synthesized, which has attracted great attention on social media. It is reasonable to …

Mmd based discriminative learning for face forgery detection

J Han, T Gevers - Proceedings of the Asian Conference on …, 2020 - openaccess.thecvf.com
Face forensic detection is to distinguish manipulated from pristine face images. The main
drawback of existing face forensics detection methods is their limited generalization ability …