| Title | Deepfakes Creation and Detection Using Deep Learning |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Khalil, Hady A., Maged, Shady A. |
| Conference Name | 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) |
| Date Published | may |
| Keywords | artificial intelligence, Computer vision, Deep Learning, DeepFake, Detectors, human factors, machine learning, Metrics, natural language processing, privacy, pubcrawl, resilience, Resiliency, Scalability, security, TensorFlow, ubiquitous computing |
| Abstract | Deep learning has been used in a wide range of applications like computer vision, natural language processing and image detection. The advancement in deep learning algorithms in image detection and manipulation has led to the creation of deepfakes, deepfakes use deep learning algorithms to create fake images that are at times very hard to distinguish from real images. With the rising concern around personal privacy and security, Many methods to detect deepfake images have emerged, in this paper the use of deep learning for creating as well as detecting deepfakes is explored, this paper also propose the use of deep learning image enhancement method to improve the quality of deepfakes created. |
| DOI | 10.1109/MIUCC52538.2021.9447642 |
| Citation Key | khalil_deepfakes_2021 |
Deepfakes Creation and Detection Using Deep Learning