Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Kamal ElDahshan"'
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Akademický článek
A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost
Autor: Aya Ismail, Marwa Elpeltagy, Mervat S. Zaki, Kamal Eldahshan
Publikováno v: Sensors, Vol 21, Iss 16, p 5413 (2021)
Currently, face-swapping deepfake techniques are widely spread, generating a significant number of highly realistic fake videos that threaten the privacy of people and countries. Due to their devastating impacts on the world, distinguishing between r
Externí odkaz: https://doaj.org/article/e93cff0c64f2431da31efc9872f4326a
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An integrated spatiotemporal-based methodology for deepfake detection
Autor: Aya Ismail, Marwa Elpeltagy, Mervat S. Zaki, Kamal Eldahshan
Publikováno v: Neural Computing and Applications. 34:21777-21791
Rapid advances in deep learning models have made it easier for public and crackers to generate hyper-realistic deepfake videos in which faces are swapped. Such deepfake videos may constitute a significant threat to the world if they are misused to bl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c39462aaabfbc261df746e14373f9934
https://doi.org/10.1007/s00521-022-07633-3
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