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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Learning Local Texture and Global Frequency Clues for Face Forgery Detection [PDF]
BiomimeticsIn recent years, the rapid advancement of deep learning techniques has significantly propelled the development of face forgery methods, drawing considerable attention to face forgery detection.
Xin Jin +6 more
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Combined spatial and frequency dual stream network for face forgery detection [PDF]
PeerJ Computer ScienceWith the development of generative model, the cost of facial manipulation and forgery is becoming lower and lower. Fraudulent data has brought numerous hidden threats in politics, privacy, and cybersecurity.
Hui Zhao +3 more
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Exposing Face Manipulation Based on Generative Adversarial Network–Transformer and Fake Frequency Noise Traces [PDF]
SensorsIn recent years, with the application of GANs and diffusion generative network algorithms, many highly realistic synthetic images are emerging, greatly increasing the potential for misuse, and deepfakes have become a serious social concern.
Qiaoyue Man, Young-Im Cho
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Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]
PLoS ONEDeepfake detection faces increasing challenges since the fast growth of generative models in developing massive and diverse Deepfake technologies. Recent advances rely on introducing heuristic features from spatial or frequency domains rather than ...
Zifeng Li +4 more
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TSFF-Net: A deep fake video detection model based on two-stream feature domain fusion. [PDF]
PLoS ONEWith the advancement of deep forgery techniques, particularly propelled by generative adversarial networks (GANs), identifying deepfake faces has become increasingly challenging.
Hangchuan Zhang +4 more
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Method of Face Forgery Detection Based on Self-Attention Capsule Network [PDF]
Jisuanji gongcheng, 2022 In recent years, face forgery is abused in fake videos, imposing a potential threat on the national, social and individual level, so face forgery detection is of great significance to individual privacy protection and national security.To improve the ...
LI Ke, LI Shaomei, JI Lixin, LIU Shuo
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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
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Face Forgery Detection by 3D Decomposition [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Detecting digital face manipulation has attracted extensive attention due to fake media's potential harms to the public. However, recent advances have been able to reduce the forgery signals to a low magnitude. Decomposition, which reversibly decomposes an image into several constituent elements, is a promising way to highlight the hidden forgery ...
Zhu, Xiangyu +4 more
openaire +2 more sources
Face X-Ray for More General Face Forgery Detection [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Accepted to CVPR 2020 (Oral)
Li, Lingzhi +6 more
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