Deep fakes and Mitigation Strategies

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-11
DOI
https://doi.org/10.5281/zenodo.15194883
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep fakes and Mitigation Strategies

Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

Deep fakes and Mitigation Strategies

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Generative Adversarial Networks and Image Synthesis
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Deep fakes and Mitigation Strategies · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS