Zobrazeno 1 - 10
of 2 477
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:
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
Autor:
R. Uma Maheshwari, B. Paulchamy
Publikováno v:
Automatika, Vol 65, Iss 4, Pp 1517-1532 (2024)
As deepfake technology becomes increasingly sophisticated, the proliferation of manipulated images presents a significant threat to online integrity, requiring advanced detection and mitigation strategies. Addressing this critical challenge, our stud
Externí odkaz:
https://doaj.org/article/84cc9372fbb2473cad9009e2cbd3939c
Autor:
YUAN Weilin, ZHAO Weiwei, HU Zhenzhen, CAO Wei, HE Jun, DONG Shaojin, WANG Chengyuan, WANG Shengqing
Publikováno v:
智能科学与技术学报, Vol 6, Pp 284-300 (2024)
In the digital society of "open sharing of information and interconnection of everything", the information traces characterized with "massive, multi-source and explosive growth" in the internet provide rich "mineral deposits" for open-source intellig
Externí odkaz:
https://doaj.org/article/d3ccb739453e4edab8668be8db91e67e
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 889-904 (2024)
In recent years, with the rapid development of deepfake technology, a large number of deepfake videos have emerged on the Internet, which poses a huge threat to national politics, social stability, and personal privacy. Although many existing deepfak
Externí odkaz:
https://doaj.org/article/14c0362758f4487d8f84aa2cf17619f1
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-25 (2024)
Abstract In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research. First, we pioneer an evaluation of the impact of prior information on deepfake recogn
Externí odkaz:
https://doaj.org/article/a3afdb0ac65f447bb3429767907a6bed