Results 31 to 40 of about 130,964 (204)

Forgery Face Detection Based on Multi-scale Transformer Fusing Multi-domain Information [PDF]

open access: yesJisuanji kexue, 2023
At present,the proliferation of “face-changing” fake videos generated based on deep forgery technologies such as Deepfakes poses a considerable threat to citizens' privacy and national political security.Therefore,it is of great significance to study ...
MA Xin, JI Lixin, LI Shaomei
doaj   +1 more source

Domain General Face Forgery Detection by Learning to Weight

open access: yesAAAI Conference on Artificial Intelligence, 2021
In this paper, we propose a domain-general model, termed learning-to-weight (LTW), that guarantees face detection performance across multiple domains, particularly the target domains that are never seen before. However, various face forgery methods cause
Ke Sun   +6 more
semanticscholar   +1 more source

Deep Face Forgery Detection

open access: yes, 2020
Rapid progress in deep learning is continuously making it easier and cheaper to generate video forgeries. Hence, it becomes very important to have a reliable way of detecting these forgeries. This paper describes such an approach for various tampering scenarios. The problem is modelled as a per-frame binary classification task.
Dogonadze, Nika   +2 more
openaire   +2 more sources

Face Forgery Detection and Attribution via Prototype Disentanglement [PDF]

open access: yesJisuanji kexue yu tansuo
The detection and attribution of face forgery aims to determine whether a face in an image or video has been manipulated or synthesized using Deepfake techniques, as well as to further analyze the Deepfake method behind it.
QIAN Fei, LI Wei, CHEN Peng, CHEN Haoran, XIE Lipeng, LIU Liyuan
doaj   +1 more source

Spectrum sharing security and attacks in CRNs: a review [PDF]

open access: yes, 2014
Cognitive Radio plays a major part in communication technology by resolving the shortage of the spectrum through usage of dynamic spectrum access and artificial intelligence characteristics.
Alhakami, Wajdi   +2 more
core   +3 more sources

Enriching Facial Anti-Spoofing Datasets via an Effective Face Swapping Framework

open access: yesSensors, 2022
In the era of rapid development of the Internet of things, deep learning, and communication technologies, social media has become an indispensable element.
Jiachen Yang   +5 more
doaj   +1 more source

Offline signature verification using classifier combination of HOG and LBP features [PDF]

open access: yes, 2011
We present an offline signature verification system based on a signature’s local histogram features. The signature is divided into zones using both the Cartesian and polar coordinate systems and two different histogram features are calculated for each ...
Kholmatov, Alisher Anatolyevich   +6 more
core   +2 more sources

Generalization of Forgery Detection With Meta Deepfake Detection Model

open access: yesIEEE Access, 2023
Face forgery generating algorithms that produce a range of manipulated videos/images have developed quickly. Consequently, this causes an increase in the production of fake information, making it difficult to identify.
Van-Nhan Tran   +4 more
doaj   +1 more source

Exploring Disentangled Content Information for Face Forgery Detection

open access: yes, 2022
Convolutional neural network based face forgery detection methods have achieved remarkable results during training, but struggled to maintain comparable performance during testing. We observe that the detector is prone to focus more on content information than artifact traces, suggesting that the detector is sensitive to the intrinsic bias of the ...
Liang, Jiahao   +2 more
openaire   +2 more sources

Multi-scale Wavelet Transformer for Face Forgery Detection

open access: yes, 2023
Currently, many face forgery detection methods aggregate spatial and frequency features to enhance the generalization ability and gain promising performance under the cross-dataset scenario. However, these methods only leverage one level frequency information which limits their expressive ability. To overcome these limitations, we propose a multi-scale
Liu, Jie   +5 more
openaire   +2 more sources

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