Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Tianqiang Huang"'
Publikováno v:
网络与信息安全学报, Vol 10, Pp 169-180 (2024)
The application of deep neural networks in target detection has been widely adopted in various fields.However, the introduction of adversarial patch attacks, which add local perturbations to images to mislead deep neural networks, poses a significant
Externí odkaz:
https://doaj.org/article/eb8e766733174ed289d27cef0b0ca9ac
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:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-11 (2023)
Abstract DeepFake may have a crucial impact on people’s lives and reduce the trust in digital media, so DeepFake detection methods have developed rapidly. Most existing detection methods rely on single-space features (mostly RGB features), and ther
Externí odkaz:
https://doaj.org/article/3f921dacaece4170b13ddba8aa02e879
Publikováno v:
网络与信息安全学报, Vol 9, Pp 150-160 (2023)
The mainstream methods in the field of facial attribute manipulation had the following two defects due to data and model architecture limitations.First, the bottleneck structure of the autoencoder model results in the loss of feature information, and
Externí odkaz:
https://doaj.org/article/ee3df966a054444595e53497c3077c3e
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 6, Pp 84-93 (2020)
Traditional passive forensics of video inter-frame tampering often relies on single feature.Each of these features is usually suitable for certain types of videos,while has low detection accuracy for other videos.To combine the advantages of these fe
Externí odkaz:
https://doaj.org/article/1fd1512c3e744ab98c8b0c871742f6e1
Publikováno v:
Frontiers in Earth Science, Vol 9 (2022)
The high temperature forecast of the sub-season is a severe challenge. Currently, the residual structure has achieved good results in the field of computer vision attributed to the excellent feature extraction ability. However, it has not been introd
Externí odkaz:
https://doaj.org/article/de34d873d5514dd6aa118811729e7229
Publikováno v:
网络与信息安全学报, Vol 5, Pp 64-79 (2019)
The traditional video passive forensics method using only the principle of similarity between adjacent frames will cause a lot of false detection for the video with severe motion.Aiming at this problem,a video tamper detection method combining spatia
Externí odkaz:
https://doaj.org/article/81d33342f85f433ea9b6e22dea802ee7
Publikováno v:
Sensors, Vol 21, Iss 12, p 3953 (2021)
Digital video forensics plays a vital role in judicial forensics, media reports, e-commerce, finance, and public security. Although many methods have been developed, there is currently no efficient solution to real-life videos with illumination noise
Externí odkaz:
https://doaj.org/article/86e8324d9c944734b5a166210faece15
Publikováno v:
IEEE Transactions on Big Data. 9:792-804
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ed078cc7ac5381b6ec8a388afb3e74f
https://doi.org/10.1109/tbdata.2022.3205705
https://doi.org/10.1109/tbdata.2022.3205705