Deepfake attacks: Generation, detection, datasets, challenges, and research directions

A Naitali, M Ridouani, F Salahdine, N Kaabouch - Computers, 2023 - mdpi.com
Recent years have seen a substantial increase in interest in deepfakes, a fast-developing
field at the nexus of artificial intelligence and multimedia. These artificial media creations …

Tall: Thumbnail layout for deepfake video detection

Y Xu, J Liang, G Jia, Z Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
The growing threats of deepfakes to society and cybersecurity have raised enormous public
concerns, and increasing efforts have been devoted to this critical topic of deepfake video …

MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detection

A Yadav, DK Vishwakarma - Expert Systems with Applications, 2023 - Elsevier
With the growing popularity of social media and an outburst of malicious tampering methods,
it has become easier than ever to mislead others and create disharmony in society by …

A Comprehensive Review of DeepFake Detection Using Advanced Machine Learning and Fusion Methods

G Gupta, K Raja, M Gupta, T Jan, ST Whiteside… - Electronics, 2023 - mdpi.com
Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of
generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable …

MSVT: Multiple spatiotemporal views transformer for DeepFake video detection

Y Yu, R Ni, Y Zhao, S Yang, F Xia… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, DeepFake videos have developed rapidly, causing new security issues in society.
Due to the rough spatiotemporal view, existing video-based detection methods struggle to …

PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection

AL Pellicer, Y Li, P Angelov - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
Deepfake techniques generate highly realistic data making it challenging for humans to
discern between actual and artificially generated images. Recent advancements in deep …

Manipulation detection of key populations under information measurement

S Xiao, Z Zhang, J Yang, JB Wen, Y Li - Information Sciences, 2023 - Elsevier
In today's turbulent international situation, regional conflicts often occur, and the game
between major countries has been continuing, which is not only reflected in the military …

Holisticdfd: Infusing spatiotemporal transformer embeddings for deepfake detection

MA Raza, KM Malik, IU Haq - Information Sciences, 2023 - Elsevier
Deepfakes, or synthetic audiovisual media developed with the intent to deceive, are growing
increasingly prevalent. Existing methods, employed independently as images/patches or …

Deepfake Detection: Analysing Model Generalisation Across Architectures, Datasets and Pre-Training Paradigms

SA Khan, DT Dang-Nguyen - IEEE Access, 2023 - ieeexplore.ieee.org
As deepfake technology gains traction, the need for reliable detection systems is crucial.
Recent research has introduced various deep learning-based detection systems, yet they …

Audio-visual temporal forgery detection using embedding-level fusion and multi-dimensional contrastive loss

M Liu, J Wang, X Qian, H Li - … on Circuits and Systems for Video …, 2023 - ieeexplore.ieee.org
Audio-visual deepfake detection is the process of identifying and detecting deepfakes that
have been generated using both audio and visual content with AI algorithms. Most existing …