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Velusamy Rajakumareswaran
Surendran Raguvaran
Venkatachalam Chandrasekar
Sugavanam Rajkumar
Vijayakumar Arun


Justification of the purpose of the research. In recent times, several approaches for face manipulation in videos have been extensively applied and availed to the public which makes editing faces in video easy for everyone effortlessly with realistic efforts.  While beneficial in various domains, these methods could significantly harm society if employed to spread misinformation. So, it is also vital to properly detect whether a face has been distorted in a video series. To detect this deepfake, convolutional neural networks can be used in past works. However, it needs a greater number of parameters and more computations. So, to overcome these limitations and to accurately detect deepfakes in videos, a transfer learning-based model named the Improved Xception model is suggested. Obtained results. This model is trained using extracted facial landmark features with robust training. Moreover, the improved Xception model's detection accuracy is evaluated alongside ResNet and Inception, considering model loss, accuracy, ROC, training time, and the Precision-Recall curve. The outcomes confirm the success of the proposed model, which employs transfer learning techniques to identify fraudulent videos. Furthermore, the method demonstrates a noteworthy 5% increase in efficiency compared to current systems.

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How to Cite
Rajakumareswaran , V. ., Raguvaran , S. ., Chandrasekar , V. ., Rajkumar , S. ., & Arun , V. . (2024). DEEPFAKE DETECTION USING TRANSFER LEARNING-BASED XCEPTION MODEL. Advanced Information Systems, 8(2), 89–98.
Intelligent information systems
Author Biographies

Velusamy Rajakumareswaran , Erode Sengunthar Engineering College, Thuduppathi, Tamil Nadu

Ph.D., Assistant Professor, Department of Computer Science and Design

Surendran Raguvaran , SRM Institute of Science and Technology, Kanchipuram

Ph.D., Assistant Professor, Department of Computational Intelligence, School of Computing

Venkatachalam Chandrasekar , Jain University, Bangalore

Ph.D., Professor, Faculty of Engineering and Technology

Sugavanam Rajkumar , Sona College of Technology (Autonomous, affiliated to Anna University), Salem

MTech, Assistant Professor

Vijayakumar Arun , School of Engineering, Mohan Babu University, Tirupati

Ph.D., Professor, Department of Electrical and Electronics Engineering


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