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 …

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 …

A survey on the detection and impacts of deepfakes in visual, audio, and textual formats

R Mubarak, T Alsboui, O Alshaikh, I Inuwa-Dutse… - Ieee …, 2023 - ieeexplore.ieee.org
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …

AVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio–visual​ deepfakes detection

H Ilyas, A Javed, KM Malik - Applied Soft Computing, 2023 - Elsevier
Recent advances in the field of machine learning and social media platforms facilitate the
creation and rapid dissemination of realistic fake content (ie, images, videos, audios) …

Deepfakes detection with automatic face weighting

DM Montserrat, H Hao… - Proceedings of the …, 2020 - openaccess.thecvf.com
Altered and manipulated multimedia is increasingly present and widely distributed via social
media platforms. Advanced video manipulation tools enable the generation of highly …

MSTA-Net: Forgery detection by generating manipulation trace based on multi-scale self-texture attention

J Yang, S **ao, A Li, W Lu, X Gao… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Lots of Deepfake videos are circulating on the Internet, which not only damages the
personal rights of the forged individual, but also pollutes the web environment. What's …

Seeing is believing: Exploring perceptual differences in deepfake videos

R Tahir, B Batool, H Jamshed, M Jameel… - Proceedings of the …, 2021 - dl.acm.org
With AI on the boom, DeepFakes have emerged as a tool with a massive potential for abuse.
The hyper-realistic imagery of these manipulated videos coupled with the expedited delivery …

An overview of recent work in media forensics: Methods and threats

K Bhagtani, AKS Yadav, ER Bartusiak, Z **ang… - arxiv preprint arxiv …, 2022 - arxiv.org
In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …

ResNet-Swish-Dense54: a deep learning approach for deepfakes detection

M Nawaz, A Javed, A Irtaza - The Visual Computer, 2023 - Springer
Abstract Development in artificial intelligence has brought a new revolution to technologies
and approaches that have been employed for malicious purposes specifically after the …

Emergence of deepfakes and video tampering detection approaches: A survey

S Kingra, N Aggarwal, N Kaur - Multimedia Tools and Applications, 2023 - Springer
Digital content, particularly the digital videos recorded at specific angle, though, provides a
truthful picture of reality but the widespread proliferation of easy-to-use content editing …