Zobrazeno 1 - 10
of 2 584
pro vyhledávání: '"DeepFake"'
Autor:
El-Sayed Atlam, Malik Almaliki, Ghada Elmarhomy, Abdulqader M. Almars, Awatif M.A. Elsiddieg, Rasha ElAgamy
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 446-455 (2025)
In recent years, deepfakes (DFs)-realistically manipulated media created using artificial intelligence—have raised significant concerns. As this technology evolves, the urgency for effective detection methods to counter misuse intensifies. Computer
Externí odkaz:
https://doaj.org/article/b587b110891c4b9aaee66615aaeef0d3
Autor:
Rozi Khan, Muhammad Sohail, Imran Usman, Moid Sandhu, Mohsin Raza, Muhammad Azfar Yaqub, Antonio Liotta
Publikováno v:
ICT Express, Vol 10, Iss 6, Pp 1226-1239 (2024)
Deep learning addresses a wide range of complex challenges, spanning from computer vision to data analytics. It is also employed to develop softwares that pose threats to privacy and security. To develop a DeepFake video, an individual in the origina
Externí odkaz:
https://doaj.org/article/19e9cd8c85a946f9a00d2bbe0f31aaff
Autor:
Marcin Niedbała
Publikováno v:
Krytyka Prawa, Vol 15, Iss 4, Pp 56-68 (2024)
The process of advancement of artificial intelligence (hereinafter: AI) seen in recent years results in breakthroughs in many areas of human life, such as medicine, agriculture, and science. However, despite its many advantages and benefits, it al
Externí odkaz:
https://doaj.org/article/f90e34cc02984992bfe13b34a1ea9fcd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The proliferation of multimedia-based deepfake content in recent years has posed significant challenges to information security and authenticity, necessitating the use of methods beyond dependable dynamic detection. In this paper, we utilize
Externí odkaz:
https://doaj.org/article/bd2a37181574435eb6a9b3f5b2f21d2a
Autor:
Aleksandr S. Pikul
Publikováno v:
Безопасность информационных технологий, Vol 31, Iss 4, Pp 116-127 (2024)
This article explores the potential use of modern computer vision architectures for the task of deepfake detection. The following architectures are considered: EfficientNet, Vision Transformer (ViT), VisionLSTM (ViL), Vision KAN, and Mamba Vision. Th
Externí odkaz:
https://doaj.org/article/34d5750983fb46b5b8523588853c0864
Autor:
Mikhail Haleev, Alexey Kashevnik
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 219-224 (2024)
Deepfake images have become a major problem in today’s digital landscape. Such images are usually created using advanced machine learning techniques. These fake images can deceive viewers, posing risks to privacy, security, and trust. In this paper
Externí odkaz:
https://doaj.org/article/8b5401b774c6453b9e0fc1e70925022c
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Due to the increasing sophistication of face forgery techniques, the images generated are becoming more and more realistic and difficult for human eyes to distinguish. These face forgery techniques can cause problems such as fraud and social
Externí odkaz:
https://doaj.org/article/2d5b748f6b924effb6a5cddacfadc652
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 29107-29134 (2024)
Deepfake images are combined media constructed from deep learning (DL) methods, usually Generative Adversarial Networks (GANs), to manipulate visual content, often giving rise to convincing and fabricating descriptions of scenes or people. The Bayesi
Externí odkaz:
https://doaj.org/article/c5f9d27e7b844a65badca8e2db346c9a
Countering the complex, multifaceted nature of nude and sexually explicit deepfakes: an Augean task?
Autor:
Marie-Helen Maras, Kenji Logie
Publikováno v:
Crime Science, Vol 13, Iss 1, Pp 1-17 (2024)
Abstract Manipulated media – images, video, and audio – have proliferated online. Widely available modification software, rudimentary practices, and advanced techniques involving machine learning and artificial intelligence have been used to mani
Externí odkaz:
https://doaj.org/article/71eed026567d4aa1bbb9c673911d4697