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Beyond Faces: A Novel Approach to Deepfake Detection and Classification

As the proliferation of deepfake technology poses an escalating threat across diverse domains, this research paper introduces a groundbreaking methodology titled "Beyond Faces: A Novel Approach to Deepfake Detection and Classification." Unlike traditional approaches that predominantly focus on facial manipulation, our unique framework delves into uncharted territories by scrutinizing non-facial elements within deepfakes. This paper outlines the evolution of deepfake technology, emphasizing the need for advanced detection methods beyond facial features. The research details a comprehensive methodology, incorporating cutting-edge machine learning techniques and extending the scope beyond conventional modalities. Through rigorous experimentation and evaluation, our results reveal the efficacy of our approach, ushering in a new era of deepfake detection that addresses previously unexplored dimensions. This contribution aims to redefine the landscape of deepfake security, offering insights and advancements crucial for safeguarding against evolving threats.

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