A comprehensive survey on design and application of autoencoder in deep learning

P Li, Y Pei, J Li - Applied Soft Computing, 2023 - Elsevier
Autoencoder is an unsupervised learning model, which can automatically learn data
features from a large number of samples and can act as a dimensionality reduction method …

Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward

M Masood, M Nawaz, KM Malik, A Javed, A Irtaza… - Applied …, 2023 - Springer
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Deepfakes and beyond: A survey of face manipulation and fake detection

R Tolosana, R Vera-Rodriguez, J Fierrez, A Morales… - Information …, 2020 - Elsevier
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 …

Learning self-consistency for deepfake detection

T Zhao, X Xu, M Xu, H Ding… - Proceedings of the …, 2021 - openaccess.thecvf.com
We propose a new method to detect deepfake images using the cue of the source feature
inconsistency within the forged images. It is based on the hypothesis that images' distinct …

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 …

Deep gait recognition: A survey

A Sepas-Moghaddam, A Etemad - IEEE transactions on pattern …, 2022 - ieeexplore.ieee.org
Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

Deepfake generation and detection, a survey

T Zhang - Multimedia Tools and Applications, 2022 - Springer
Deepfake refers to realistic, but fake images, sounds, and videos generated by articial
intelligence methods. Recent advances in deepfake generation make deepfake more …

DeepFake detection for human face images and videos: A survey

A Malik, M Kuribayashi, SM Abdullahi, AN Khan - Ieee Access, 2022 - ieeexplore.ieee.org
Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …

Countering malicious deepfakes: Survey, battleground, and horizon

F Juefei-Xu, R Wang, Y Huang, Q Guo, L Ma… - International journal of …, 2022 - Springer
The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …

A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities

JW Seow, MK Lim, RCW Phan, JK Liu - Neurocomputing, 2022 - Elsevier
When used maliciously, deepfake can pose detrimental implications to political and social
forces including reducing public trust in institutions, damaging the reputation of prominent …