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 …

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

LA Passos, D Jodas, KAP Costa… - Expert …, 2024 - 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 …

[HTML][HTML] Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector

LY Gong, XJ Li, PHJ Chong - Electronics, 2024 - mdpi.com
Deepfake has become an emerging technology affecting cyber-security with its illegal
applications in recent years. Most deepfake detectors utilize CNN-based models such as the …

A Comprehensive Comparative Analysis of Deepfake Detection Techniques in Visual, Audio, and Audio-Visual Domains

AA Bekheet, A Ghoneim… - 2024 Intelligent Methods …, 2024 - ieeexplore.ieee.org
In recent years, the rise of social media platforms has made them vital channels for sharing
news, where audio and visual content play a crucial role in enhancing the credibility of news …

DT-TransUNet: A Dual-Task Model for Deepfake Detection and Segmentation

J Zheng, Y Zhou, X Hu, Z Tang - Chinese Conference on Pattern …, 2023 - Springer
The swift advancement of deepfake technology has given rise to concerns regarding its
potential misuse, necessitating the detection of fake images and acquisition of supportive …

On the Relevance of Temporal Information in Multimedia Forensics Applications in the Age of AI

A Montibeller - 2024 - iris.unitn.it
The proliferation of multimedia data, including digital images and videos, has led to an
increase in their misuse, such as the unauthorized sharing of sensitive content, the spread of …