Deepsecure-AI Journal
Year: 2024
Type: article
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.
Source: Figshare
Authors: Haran, Hari, V, Atchaya, S, Divith, V, Kavipriya
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6958175103
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