South Korea, the deepfake to connect with young people.The deepfake wins in politics: the case of Yoon Suk-yeol in South Korea.The results prove the efficiency and robustness of the proposed technique hence, it can be used to detect deep fake images and reduce the potential threat of slander and propaganda. The proposed method achieved the highest accuracy of 89.5% via Residual Network and K-Nearest Neighbor. The resultant feature vectors are then classified via Support Vector Machines and K-Nearest Neighbors by performing hyper-parameter optimization. This image is then supplied to Convolutional Neural Networks for deep feature extraction. The proposed framework initially performs an Error Level Analysis of the image to determine if the image has been modified. Hence, these problems can limit their usefulness in real-world applications where the data constantly evolves. Moreover, these systems are sensitive to noise or variations in the data, which can reduce their performance. These systems cannot generalize well to unseen data. Traditional Machine Learning (ML) based systems employing handcrafted feature extraction fail to capture more complex patterns that are poorly understood or easily represented using simple features. This paper proposes an automated method to classify deep fake images by employing Deep Learning and Machine Learning based methodologies. Hence, a robust system to differentiate between real and fake content has become crucial in this age of social media. This rapid advancement can cause panic and chaos as anyone can easily create propaganda using these technologies. 8 Durma College of Science and Humanities, Shaqra University, Shaqra, 11961, Saudi Arabia.ĭue to the wide availability of easy-to-access content on social media, along with the advanced tools and inexpensive computing infrastructure, has made it very easy for people to produce deep fakes that can cause to spread disinformation and hoaxes.7 Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, KM1 Jalan Pagoh, 84600, Pagoh, Johor, Malaysia.6 Department of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB Technical University of Ostrava, 70800, Ostrava, Czech Republic.5 Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, 01026, Zilina, Slovakia. 4 Department of Computer Science, University of Chakwal, Chakwal, 48800, Pakistan. 3 Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan, 47050.2 Department of Electrical Engineering, Chonnam National University, Gwangju, 61186, South Korea.1 Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan, 47050.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |