research-article

Face Forgery Detection via Symmetric Transformer

Authors:

Chenliang XuAuthors Info & Claims

MM '22: Proceedings of the 30th ACM International Conference on Multimedia

Pages 4102 - 4111

https://doi.org/10.1145/3503161.3547806

Published: 10 October 2022 Publication History

Abstract

The deep learning-based face forgery detection is a novel yet challenging task. Despite impressive results have been achieved, there are still some limitations in the existing methods. For example, the previous methods are hard to maintain consistent predictions for consecutive frames, even if all of those frames are actually forged. We propose a symmetric transformer for channel and spatial feature extraction, which is because the channel and spatial features of a robust forgery detector should be consistent in the temporal domain. The symmetric transformer adopt the newly-designed attention-based strategies for channel variance and spatial gradients as the vital features, which greatly improves the robustness of deepfake video detection. Moreover, this symmetric structure acts on temporal and spatial features respectively, which ensures the robustness of detection from two different aspects. Our symmetric transformer is an end-to-end optimized network. Experiments are conducted on various settings, the proposed methods achieve significantly improvement on prediction robustness and perform better than state-of-the-art methods on different datasets.

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Cited By

Wang YChen CZhang NHu X(2024) WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake DetectionInternational Journal of Computer Vision10.1007/s11263-024-02116-5Online publication date: 23-May-2024
https://doi.org/10.1007/s11263-024-02116-5
Li MLi XYu KDeng CHuang HMao FXue HLi MEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video DetectionProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3613842(8707-8718)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3613842
Zhang RWang HDu MLiu HZhou YZeng QEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery LocalizationProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3613767(8749-8759)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3613767
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Index Terms

Face Forgery Detection via Symmetric Transformer
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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cover image ACM Conferences

MM '22: Proceedings of the 30th ACM International Conference on Multimedia

October 2022

7537 pages

ISBN:9781450392037

DOI:10.1145/3503161

General Chairs:
João Magalhães
NOVA University of Lisbon, Portugal
,
Alberto del Bimbo
University of Florence, Italy
,
Shin'ichi Satoh
National Institute of Informatics, Japan
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Nicu Sebe
University of Trento, Italy
,
Program Chairs:
Xavier Alameda-Pineda
Inria, Grenoble, France
,
Qin Jin
Renmin University of China, China
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Vincent Oria
New Jersey Institute of Technology, USA
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Laura Toni
University College London, UK

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Published: 10 October 2022

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MM '22: The 30th ACM International Conference on Multimedia

October 10 - 14, 2022

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Cited By

Wang YChen CZhang NHu X(2024) WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake DetectionInternational Journal of Computer Vision10.1007/s11263-024-02116-5Online publication date: 23-May-2024
https://doi.org/10.1007/s11263-024-02116-5
Li MLi XYu KDeng CHuang HMao FXue HLi MEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video DetectionProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3613842(8707-8718)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3613842
Zhang RWang HDu MLiu HZhou YZeng QEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery LocalizationProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3613767(8749-8759)Online publication date: 26-Oct-2023
https://dl.acm.org/doi/10.1145/3581783.3613767
Liu DZheng ZPeng CWang YWang NGao X(2023)Hierarchical Forgery Classifier on Multi-Modality Face Forgery CluesIEEE Transactions on Multimedia10.1109/TMM.2023.330491326(2894-2905)Online publication date: 14-Aug-2023
https://dl.acm.org/doi/10.1109/TMM.2023.3304913
Wang YPeng CLiu DWang NGao X(2023)Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR ScenarioIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.328147533:12(7943-7956)Online publication date: 30-May-2023
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Shi ZChen HZhang D(2023)Transformer-Auxiliary Neural Networks for Image Manipulation Localization by Operator InductionsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.325144433:9(4907-4920)Online publication date: 1-Sep-2023
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Song LYin GJin ZDong XXu C(2023)Emotional Listener Portrait: Realistic Listener Motion Simulation in Conversation2023 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV51070.2023.01905(20782-20792)Online publication date: 1-Oct-2023
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Wang XZhang ZZhang J(2023)Structure Invariant Transformation for better Adversarial Transferability2023 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV51070.2023.00425(4584-4596)Online publication date: 1-Oct-2023
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Dong SWang JJi RLiang JFan HGe Z(2023)Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.00389(3994-4004)Online publication date: Jun-2023
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Bray SJohnson SKleinberg B(2023)Testing human ability to detect ‘deepfake’ images of human facesJournal of Cybersecurity10.1093/cybsec/tyad0119:1Online publication date: 23-Jun-2023
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