MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection

Author:

Katamneni Vinaya Sree1,Rattani Ajita1

Affiliation:

1. University of North Texas,Dept. of Computer Science and Engineering,Denton,USA

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Temporal Feature Prediction in Audio–Visual Deepfake Detection;Electronics;2024-08-29

2. A Comprehensive Comparative Analysis of Deepfake Detection Techniques in Visual, Audio, and Audio-Visual Domains;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

3. Deep Fake Image Detection using Xception Architecture;2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2024-04-09

4. Facial Forgery-Based Deepfake Detection Using Fine-Grained Features;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

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