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DeepFake Videos Detection via Spatiotemporal Inconsistency Learning and Interactive Fusion

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成果类型:
期刊论文、会议论文
作者:
Ding, Xiangling;Zhu, Wenjie;Zhang, Dengyong
作者机构:
[Ding, Xiangling] Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan, Peoples R China.
[Ding, Xiangling] Guangdong Key Lab Intelligent Informat Proc, Shenzhen, Peoples R China.
[Ding, Xiangling] Shenzhen Key Lab Media Secur, Shenzhen, Peoples R China.
[Ding, Xiangling] Chinese Acad Sci, Inst Informat Engn, State Key Lab Informat Secur, Beijing, Peoples R China.
[Ding, Xiangling] Zhengzhou Xinda Inst Adv Technol, Zhengzhou, Peoples R China.
语种:
英文
关键词:
video forensics;deepfake videos;phase-level stream;temporality-level stream
期刊:
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
ISSN:
2473-0440
年:
2022
卷:
2022-September
页码:
425-433
会议名称:
19th Annual IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON)
会议论文集名称:
IEEE International Conference on Sensing Communication and Networking
会议时间:
SEP 20-23, 2022
会议地点:
ELECTR NETWORK
会议主办单位:
[Ding, Xiangling] Hunan Univ Sci & Technol, Sch Comp Sci & Engn, Xiangtan, Peoples R China.^[Ding, Xiangling] Guangdong Key Lab Intelligent Informat Proc, Shenzhen, Peoples R China.^[Ding, Xiangling] Shenzhen Key Lab Media Secur, Shenzhen, Peoples R China.^[Ding, Xiangling] Chinese Acad Sci, Inst Informat Engn, State Key Lab Informat Secur, Beijing, Peoples R China.^[Ding, Xiangling] Zhengzhou Xinda Inst Adv Technol, Zhengzhou, Peoples R China.^[Ding, Xiangling] Hunan Key Lab Serv Comp & Novel Software Technol, Xiangtan, Peoples R China.^[Ding, Xiangling] Guangdong Key Lab Informat Secur Technol, Guangzhou, Peoples R China.^[Zhu, Wenjie;Zhang, Dengyong] Changsha Univ Sci & Techno, Sch Comp & Commun Engn, Changsha, Peoples R China.
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-6654-8643-9
基金类别:
National Natural Science Foundation of China [62172059]; Hunan Provincial Natural Science Foundations of China [2020JJ4626, 2020JJ4029]; Opening Project of State Key Laboratory of Information Security [2021ZD-07]; Open Foundation of Henan Key Laboratory of Cyberspace Situation Awareness [HNTS2022025]; Opening Project of Guangdong Provincial Key Laboratory of Information Security Technology [2020B1212060078]
机构署名:
本校为其他机构
院系归属:
计算机与通信工程学院
摘要:
While the rapid expansion of DeepFake generation techniques has arisen a serious impact on human society, the detection of DeepFake videos is challenging because of their highly plausible contents on each frame, which are not visually apparent. To address that, this paper proposes a two-stream method to capture the spatial-temporal inconsistency cues, and then interactively fuse them to detect DeepFake videos. Since the traces of spatial inconsistency in DeepFake video frames mainly appear in their structural information, which reflects by the ...

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