Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Peipeng Yu"'
Publikováno v:
IET Biometrics, Vol 10, Iss 6, Pp 607-624 (2021)
Abstract Recently, deepfake videos, generated by deep learning algorithms, have attracted widespread attention. Deepfake technology can be used to perform face manipulation with high realism. So far, there have been a large amount of deepfake videos
Externí odkaz:
https://doaj.org/article/cc749a4b455d48ff97642ea2bfa127a8
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-11 (2020)
Abstract Deep neural networks are vulnerable to adversarial samples, posing potential threats to the applications deployed with deep learning models in practical conditions. A typical example is the fingerprint liveness detection module in fingerprin
Externí odkaz:
https://doaj.org/article/23677acf3ee34f488b68f39265d59d8f
Publikováno v:
IEEE Transactions on Cloud Computing. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::579f815945a7ba8f345e7ac51d539eb6
https://doi.org/10.1109/tcc.2022.3233421
https://doi.org/10.1109/tcc.2022.3233421
Publikováno v:
International Journal of Autonomous and Adaptive Communications Systems. 17:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38b4e41a428f33b70618d991be14a441
https://doi.org/10.1504/ijaacs.2024.10048413
https://doi.org/10.1504/ijaacs.2024.10048413
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 16:817-827
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::694b8fedd759c644df453f878c94e1f0
https://doi.org/10.1109/jstsp.2022.3174655
https://doi.org/10.1109/jstsp.2022.3174655
Publikováno v:
IEEE Transactions on Information Forensics and Security. 17:547-558
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::692ebde26e21155a35b03dff5f0074a6
https://doi.org/10.1109/tifs.2022.3146781
https://doi.org/10.1109/tifs.2022.3146781
Publikováno v:
Pattern Recognition. 140:109549
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::486123d9846078ee2895390fec34ac57
https://doi.org/10.1016/j.patcog.2023.109549
https://doi.org/10.1016/j.patcog.2023.109549
In this work, we propose a novel method to improve the generalization ability of CNN-based face forgery detectors. Our method considers the feature anomalies of forged faces caused by the prevalent blending operations in face forgery algorithms. Spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8df19becf717a6951b4d74541b1572f8
http://arxiv.org/abs/2209.15490
http://arxiv.org/abs/2209.15490
Publikováno v:
IET Biometrics, Vol 10, Iss 6, Pp 607-624 (2021)
Recently, deepfake videos, generated by deep learning algorithms, have attracted widespread attention. Deepfake technology can be used to perform face manipulation with high realism. So far, there have been a large amount of deepfake videos circulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2d140697b91f720fa64468b78bf5ead
https://doi.org/10.1049/bme2.12031
https://doi.org/10.1049/bme2.12031
Publikováno v:
Security and Communication Networks, Vol 2021 (2021)
The collection of multidimensional crowdsourced data has caused a public concern because of the privacy issues. To address it, local differential privacy (LDP) is proposed to protect the crowdsourced data without much loss of usage, which is popularl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf8ae5ed5e96d106c2618c916b69486
https://doi.org/10.1155/2021/6684179
https://doi.org/10.1155/2021/6684179