Zobrazeno 1 - 10
of 47
pro vyhledávání: '"fake face detection"'
Autor:
Emre Şafak, Necaattin Barışçı
Publikováno v:
PeerJ Computer Science, Vol 10, p e2103 (2024)
Images and videos containing fake faces are the most common type of digital manipulation. Such content can lead to negative consequences by spreading false information. The use of machine learning algorithms to produce fake face images has made it ch
Externí odkaz:
https://doaj.org/article/775139d7f74949af8f7f90f6b541efa4
Publikováno v:
网络与信息安全学报, Vol 9, Pp 1-15 (2023)
Face forgery and detection has become a research hotspot.Face forgery methods can produce fake face images and videos.Some malicious videos, often targeting celebrities, are widely circulated on social networks, damaging the reputation of victims and
Externí odkaz:
https://doaj.org/article/ab1306c3df2340ec9bdad28f3bf9eba5
Publikováno v:
PeerJ Computer Science, Vol 9, p e1313 (2023)
DeepFake is a forged image or video created using deep learning techniques. The present fake content of the detection technique can detect trivial images such as barefaced fake faces. Moreover, the capability of current methods to detect fake faces i
Externí odkaz:
https://doaj.org/article/e8d44e7253124afdad95f9d87a56c9b7
Publikováno v:
IEEE Access, Vol 10, Pp 32574-32583 (2022)
Generative Adversarial Network (GAN) based techniques can generate and synthesize realistic faces that cause profound social concerns and security problems. Existing methods for detecting GAN-generated faces can perform well on limited public dataset
Externí odkaz:
https://doaj.org/article/ede2b199acd642c3a964034f3af4a80b
Publikováno v:
网络与信息安全学报, Vol 7, Pp 151-160 (2021)
In view of the existing Deepfake detection algorithms, such problems as low accuracy and poor interpretability are common.A neural network model combining the double attention was proposed, which used channel attention to capture the abnormal feature
Externí odkaz:
https://doaj.org/article/37d5df9f205e40f5962f801f7560af9f
Publikováno v:
网络与信息安全学报, Vol 7, Iss 2, Pp 151-160 (2021)
In view of the existing Deepfake detection algorithms, such problems as low accuracy and poor interpretability are common. A neural network model combining the double attention was proposed, which used channel attention to capture the abnormal featur
Externí odkaz:
https://doaj.org/article/8e8627ca060844718b0aa33052cf54a6
Autor:
Eunji Kim, Sungzoon Cho
Publikováno v:
IEEE Access, Vol 9, Pp 123493-123503 (2021)
With the breakthrough of computer vision and deep learning, there has been a surge of realistic-looking fake face media manipulated by AI such as DeepFake or Face2Face that manipulate facial identities or expressions. The fake faces were mostly creat
Externí odkaz:
https://doaj.org/article/9f9bea4de07d4e1a85ce1996340a5fd6
Akademický článek
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Akademický článek
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Publikováno v:
CESS (Journal of Computer Engineering, System and Science); Vol 8, No 2 (2023): In Process-July 2023; 329-338
Sistem pengenalan wajah merupakan salah satu metode dalam teknik biometric yang menggunakan wajah untuk proses identifikasi atau verifikasi seseorang. Teknologi ini tidak memerlukan kontak fisik seperti verifikasi sidik jari dan diklaim lebih aman ka
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jnegerimedan::f74e9e09989690008b4ad28e4b24d7d4
https://jurnal.unimed.ac.id/2012/index.php/cess/article/view/43762
https://jurnal.unimed.ac.id/2012/index.php/cess/article/view/43762