Deepfake detection: A systematic literature review

MS Rana, MN Nobi, B Murali, AH Sung - IEEE access, 2022 - ieeexplore.ieee.org
Over the last few decades, rapid progress in AI, machine learning, and deep learning has
resulted in new techniques and various tools for manipulating multimedia. Though the …

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 …

A review on social spam detection: Challenges, open issues, and future directions

S Rao, AK Verma, T Bhatia - Expert Systems with Applications, 2021 - Elsevier
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

Combining efficientnet and vision transformers for video deepfake detection

DA Coccomini, N Messina, C Gennaro… - … conference on image …, 2022 - Springer
Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the
astonishing advances in deep generative models, fake images or videos are nowadays …

Deepfake video detection using convolutional vision transformer

D Wodajo, S Atnafu - arXiv preprint arXiv:2102.11126, 2021 - arxiv.org
The rapid advancement of deep learning models that can generate and synthesis hyper-
realistic videos known as Deepfakes and their ease of access to the general public have …

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 …

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 survey on deepfake video detection

P Yu, Z Xia, J Fei, Y Lu - Iet Biometrics, 2021 - Wiley Online Library
Recently, deepfake videos, generated by deep learning algorithms, have attracted
widespread attention. Deepfake technology can be used to perform face manipulation with …

A new deep learning-based methodology for video deepfake detection using XGBoost

A Ismail, M Elpeltagy, M S. Zaki, K Eldahshan - Sensors, 2021 - mdpi.com
Currently, face-swapping deepfake techniques are widely spread, generating a significant
number of highly realistic fake videos that threaten the privacy of people and countries. Due …