Deepfake faces detection from forged videos where used explainable AI for models' robustness as well as cost sensitive methods for mitigating dataset imbalance problem
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Updated
May 27, 2024 - Jupyter Notebook
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celebdf
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The purpose of this project is to develop an AI-powered system capable of detecting deepfake facial data in biometric systems. By leveraging machine learning, specifically XceptionNet architecture, the project aims to classify facial data as real or fake with high accuracy and reliability.
torch biometrics xception-model biometric-systems deepfakes torchvision faceforensics deepfake-detection biometric-facial-recognition biometric-recognition xception-net celebdf
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Updated
Dec 17, 2024 - Jupyter Notebook
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