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Deep fakes and Mitigation Strategies

Year: 2025

Type: article

Abstract: Deepfake technology, powered by artificial intelligence (AI) and deep learning, has transformed digital media by enabling the creation of highly realistic synthetic content. While deepfakes have legitimate applications in entertainment, education, and accessibility, they also pose significant risks, including misinformation, identity theft, and political manipulation. The rapid advancement of deepfake generation techniques, particularly through Generative Adversarial Networks (GANs) and Autoencoders, has made it increasingly difficult to distinguish between real and fake content.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15194883

Authors: Omkar Ajit Awadhut, Asst. Prof. Priya Dhadawe

Language: English

Topic: Digital Media Forensic Detection

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893282431

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