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 …

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 …

Deepfake detection using deep learning methods: A systematic and comprehensive review

A Heidari, N Jafari Navimipour, H Dag… - … Reviews: Data Mining …, 2024 - Wiley Online Library
Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

A review of deep learning‐based approaches for deepfake content detection

LA Passos, D Jodas, KAP Costa… - Expert …, 2022 - Wiley Online Library
Recent advancements in deep learning generative models have raised concerns as they
can create highly convincing counterfeit images and videos. This poses a threat to people's …

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 …

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 …

Deepfakes detection techniques using deep learning: a survey

AM Almars - Journal of Computer and Communications, 2021 - archive.jibiology.com
Deep learning is an effective and useful technique that has been widely applied in a variety
of fields, including computer vision, machine vision, and natural language processing …

[HTML][HTML] Comparison of deepfake detection techniques through deep learning

M Taeb, H Chi - Journal of Cybersecurity and Privacy, 2022 - mdpi.com
Deepfakes are realistic-looking fake media generated by deep-learning algorithms that
iterate through large datasets until they have learned how to solve the given problem (ie …

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 …

The deepfake detection challenge (dfdc) dataset

B Dolhansky, J Bitton, B Pflaum, J Lu, R Howes… - arXiv preprint arXiv …, 2020 - arxiv.org
Deepfakes are a recent off-the-shelf manipulation technique that allows anyone to swap two
identities in a single video. In addition to Deepfakes, a variety of GAN-based face swapping …