2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDSS-MMSDF-1.1
Paper Title DEEPFAKE VIDEO DETECTION USING 3D-ATTENTIONAL INCEPTION CONVOLUTIONAL NEURAL NETWORK
Authors Changlei Lu, Bin Liu, Wenbo Zhou, Qi Chu, Nenghai Yu, University of Science and Technology of China, China
SessionSS-MMSDF-1: Special Session: AI for Multimedia Security and Deepfake 1
LocationArea B
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Special Sessions: Artificial Intelligence for Multimedia Security and Deepfake
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The current spike of deepfake techniques has received considerable attention due to security concerns. To mitigatethe potential risks brought by deepfake techniques, many detection methods have been proposed. However, most existing works merely leverage spatial information from separate frames and ignore valuable inter-frame temporal information. In this paper, we propose a deepfake detection scheme that uses 3D-attentional inception network. The proposed model encompasses both spatial and temporal information simultaneously with the 3D kernels. Furthermore, the channel and spatial-temporal attention modules are applied to improve detection capabilities. Comprehensive experiments demonstrate that our scheme outperforms state-of-the-art methods.