Jun 1, 2025 · Deepfake technology creates highly realistic manipulated videos using deep learning models, which makes distinguishing between authentic and fake cont…

Jul 23, 2025 · Deepfakes leverage machine learning algorithms, particularly Generative Adversarial Networks (GANs), to create highly realistic images, videos, or audio recordings of individuals. By …

Oct 11, 2024 · To create a deepfake, two datasets are needed. A dataset for the source material and a dataset for the target. Deep learning in AI systems is then used to analyze and understand the …

This paper presents a detailed review of past and present DeepFake detection methods with a particular focus on media-modality fusion and machine learning. This paper also provides detailed information …

Aug 2, 2024 · This section presents a comprehensive analysis of how empirical testing can be leveraged to assess and improve the performance of deepfake detection techniques, ranging from traditional …

This review consolidates key findings from research papers focusing on deepfake detection, highlighting the challenges posed by manipulated media and evaluating detection methodologies such as CNNs, …

In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating multimedia. Though technology …

Aug 1, 2024 · These detection methods typically focus on both spatial and temporal anomalies in the data, utilizing Convolutional Neural Networks (CNNs) [84, 34] for enhanced accuracy. Starting with …

May 7, 2025 · Deepfake detection techniques include analyzing facial inconsistencies, examining unnatural lip-syncing, identifying artifacts, and utilizing Deep learning (DL), Transfer learning (TL), …

Dec 22, 2024 · Advanced neural network designs—such as Vision Transformers (ViT) and EfficientNet variants—are being tailored for deepfake detection. These models incorporate attention mechanisms …