<b>Deepsecure-AI </b><b>Journal</b>

Deepfake technology, which produces hyper-realistic but synthetic media, presents significant risks to information integrity and digital security. This project, DeepSecure-AI, aims to develop a robust AI-driven deepfake detection system to counter the misuse of deepfakes for misinformation, fraud, and reputation damage. The solution utilizes machine learning algorithms, metadata analysis, and collaboration with law enforcement to provide a comprehensive detection tool, helping to safeguard individuals and organizations from the harmful effects of manipulated media.

Publication Details

Journal
Figshare
Published
2024-11-14
DOI
https://doi.org/10.6084/m9.figshare.27731436
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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Deepsecure-AI Journal

Figshare
Generative Adversarial Networks and Image Synthesis
article

Deepsecure-AI Journal

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Abstract

Deepfake technology, which produces hyper-realistic but synthetic media, presents significant risks to information integrity and digital security. This project, DeepSecure-AI, aims to develop a robust AI-driven deepfake detection system to counter the misuse of deepfakes for misinformation, fraud, and reputation damage. The solution utilizes machine learning algorithms, metadata analysis, and collaboration with law enforcement to provide a comprehensive detection tool, helping to safeguard individuals and organizations from the harmful effects of manipulated media.

Figshare
Peace, Justice and strong institutions
Openalex Percentile: Top 61%
Generative Adversarial Networks and Image Synthesis
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