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 …

Artificial intelligence in the creative industries: a review

N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Spatial-phase shallow learning: rethinking face forgery detection in frequency domain

H Liu, X Li, W Zhou, Y Chen, Y He… - Proceedings of the …, 2021 - openaccess.thecvf.com
The remarkable success in face forgery techniques has received considerable attention in
computer vision due to security concerns. We observe that up-sampling is a necessary step …

FakeAVCeleb: A novel audio-video multimodal deepfake dataset

H Khalid, S Tariq, M Kim, SS Woo - arxiv preprint arxiv:2108.05080, 2021 - arxiv.org
While the significant advancements have made in the generation of deepfakes using deep
learning technologies, its misuse is a well-known issue now. Deepfakes can cause severe …

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 …

Avoid-df: Audio-visual joint learning for detecting deepfake

W Yang, X Zhou, Z Chen, B Guo, Z Ba… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Recently, deepfakes have raised severe concerns about the authenticity of online media.
Prior works for deepfake detection have made many efforts to capture the intra-modal …

Dynamic graph learning with content-guided spatial-frequency relation reasoning for deepfake detection

Y Wang, K Yu, C Chen, X Hu… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
With the springing up of face synthesis techniques, it is prominent in need to develop
powerful face forgery detection methods due to security concerns. Some existing methods …

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 …

Forgerynet: A versatile benchmark for comprehensive forgery analysis

Y He, B Gan, S Chen, Y Zhou, G Yin… - Proceedings of the …, 2021 - openaccess.thecvf.com
The rapid progress of photorealistic synthesis techniques has reached at a critical point
where the boundary between real and manipulated images starts to blur. Thus …

Self-supervised video forensics by audio-visual anomaly detection

C Feng, Z Chen, A Owens - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Manipulated videos often contain subtle inconsistencies between their visual and audio
signals. We propose a video forensics method, based on anomaly detection, that can …