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 …
field at the nexus of artificial intelligence and multimedia. These artificial media creations …
Tall: Thumbnail layout for deepfake video detection
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 …
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 …
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
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 …
generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable …
MSVT: Multiple spatiotemporal views transformer for DeepFake video detection
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 …
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 …
discern between actual and artificially generated images. Recent advancements in deep …
Manipulation detection of key populations under information measurement
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 …
between major countries has been continuing, which is not only reflected in the military …
Holisticdfd: Infusing spatiotemporal transformer embeddings for deepfake detection
Deepfakes, or synthetic audiovisual media developed with the intent to deceive, are growing
increasingly prevalent. Existing methods, employed independently as images/patches or …
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 …
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
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 …
have been generated using both audio and visual content with AI algorithms. Most existing …