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Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet
April 22, 2024, 4:42 a.m. | Gazi Hasin Ishrak, Zalish Mahmud, MD. Zami Al Zunaed Farabe, Tahera Khanom Tinni, Tanzim Reza, Mohammad Zavid Parvez
cs.LG updates on arXiv.org arxiv.org
Abstract: Deepfake technology, derived from deep learning, seamlessly inserts individuals into digital media, irrespective of their actual participation. Its foundation lies in machine learning and Artificial Intelligence (AI). Initially, deepfakes served research, industry, and entertainment. While the concept has existed for decades, recent advancements render deepfakes nearly indistinguishable from reality. Accessibility has soared, empowering even novices to create convincing deepfakes. However, this accessibility raises security concerns.The primary deepfake creation algorithm, GAN (Generative Adversarial Network), employs machine …
abstract artificial artificial intelligence arxiv concept convolutional neural network cs.cv cs.lg deepfake deepfakes deepfake video deep learning detection digital digital media eess.iv entertainment foundation industry intelligence lies machine machine learning media network neural network research technology type video
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