Zobrazeno 1 - 10
of 1 062
pro vyhledávání: '"DeepFake detection"'
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:
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
Publikováno v:
Forensic Sciences, Vol 4, Iss 3, Pp 289-377 (2024)
The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are extensively being harnessed across a diverse range of domains, e.g., forensic science, healthcare, virtual assistants, cybersecurity, and robotics. On the f
Externí odkaz:
https://doaj.org/article/aea75c6ede2745818187dcd01cd1686e
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100535- (2024)
Deepfakes bring critical ethical issues about consent, authenticity, and the manipulation of digital content. Identifying Deepfake videos is one step towards fighting their malicious uses. While the previous works introduced accurate methods for Deep
Externí odkaz:
https://doaj.org/article/4ac10a4f6e374cccaafc6e6e60d257a0
Publikováno v:
In Neurocomputing 1 March 2025 620
Autor:
Ma, Lixia a, b, c, Yang, Puning b, c, e, Xu, Yuting b, c, e, Yang, Ziming c, d, f, Li, Peipei g, Huang, Huaibo b, c, ⁎
Publikováno v:
In Neurocomputing 14 February 2025 618
Autor:
LIN Shanhe
Publikováno v:
网络与信息安全学报, Vol 10, Pp 182-189 (2024)
The proliferation of deepfake (DF) technology for generating manipulated facial expressions in synthetic images has raised concerns due to its potential negative impacts on individuals and society. In response to the need for robust detection, resear
Externí odkaz:
https://doaj.org/article/51fd9bbb73c5440bb1719bb32e3ed140
Autor:
Shanhe LIN
Publikováno v:
网络与信息安全学报, Vol 10, Iss 2, Pp 182-189 (2024)
The proliferation of deepfake (DF) technology for generating manipulated facial expressions in synthetic images has raised concerns due to its potential negative impacts on individuals and society. In response to the need for robust detection, resear
Externí odkaz:
https://doaj.org/article/e6257127da944553ba5275edba5922b9
Publikováno v:
Electronic Research Archive, Vol 32, Iss 3, Pp 1973-1997 (2024)
Most existing deepfake detection methods often fail to maintain their performance when confronting new test domains. To address this issue, we propose a generalizable deepfake detection system to implement style diversification by alternately learnin
Externí odkaz:
https://doaj.org/article/6ab9044893b74d31824778e98b3f7283
Publikováno v:
Informasi, Vol 53, Iss 2, Pp 295-308 (2024)
A lot of people are concerned about DeepFakes in modern society. Despite its wide range of uses, DeepFakes has gotten little public recognition. The main goal of this research is to analyze DeepFakes and their originators, as well as their potential
Externí odkaz:
https://doaj.org/article/ae7154eadc8448cfb07ab901041b498a