Results 11 to 20 of about 4,896,353 (133)
Survey on adversarial attacks and defense of face forgery and detection
网络与信息安全学报, 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 ...
Shiyu HUANG, Feng YE, Tianqiang HUANG, Wei LI, Liqing HUANG, Haifeng LUO
doaj +4 more sources
Multi-Feature Fusion Based Deepfake Face Forgery Video Detection
Systems, 2022 With the rapid development of deep learning, generating realistic fake face videos is becoming easier. It is common to make fake news, network pornography, extortion and other related illegal events using deep forgery.
Zhimao Lai +4 more
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Wavelet-Based Texture Mining and Enhancement for Face Forgery Detection
IET BiometricsDue to the abuse of deep forgery technology, the research on forgery detection methods has become increasingly urgent. The corresponding relationship between the frequency spectrum information and the spatial clues, which is often neglected by current ...
Xin Li +3 more
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Noise-attention-based forgery face detection method
网络与信息安全学报, 2023 With the advancement of artificial intelligence and deep neural networks, the ease of image generation and editing has increased significantly.Consequently, the occurrence of malicious tampering and forgery using image generation tools is on the rise ...
Bolin ZHANG +7 more
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CoMoFoD #x2014; New database for copy-move forgery detection [PDF]
, 2013 Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image ...
Grgic, M +3 more
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Automatic human face detection for content-based image annotation [PDF]
, 2008 In this paper, an automatic human face detection approach using colour analysis is applied for content-based image annotation. In the face detection, the probable face region is detected by adaptive boosting algorithm, and then combined with a colour ...
Jiang, M, Sadka, A H, Zhou, H
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Survey on Generalization Methods of Face Forgery Detection [PDF]
Jisuanji kexue, 2022 The rapid development of deep learning technology provides powerful tools for the research of deepfake.Forged videos and images are more and more difficult for human eyes to distinguish between real and fake.Videos and images on the internet may have a ...
DONG Lin, HUANG Li-qing, YE Feng, HUANG Tian-qiang, WENG Bin, XU Chao
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Exploring Decision-based Black-box Attacks on Face Forgery Detection [PDF]
, 2023 Face forgery generation technologies generate vivid faces, which have raised public concerns about security and privacy. Many intelligent systems, such as electronic payment and identity verification, rely on face forgery detection. Although face forgery
Zhang, Wenqiang +5 more
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Video face forgery detection via facial motion-assisted capturing dense optical flow truncation
, 2023 Deep learning advancements have resulted in breakthroughs in facial forgery techniques. Facial forgery videos are growing increasingly lifelike, making it impossible for people to tell the difference between the real and the fake.
Fang, Xianjin +3 more
core +1 more source
Facial depth forgery detection based on image gradient
, 2023 With the widespread application of deep learning, many artificially generated fake images and videos appear on the Internet. However, it is difficult for people to distinguish the real from the fake ones, making the research on detecting and recognizing ...
Fang, Xianjin +7 more
core +1 more source