DEEPFAKE BUSTER: AI-POWERED DEEPFAKE DETECTION

Deepfake technology has rapidly advanced, making it difficult to distinguish between real and manipulated media.This poses serious risks, including misinformation, identity theft, and fraud. Our project, Deepfake Buster, aims todetect AI-generated deepfake videos using machine learning techniques. By analyzing facial movements,inconsistencies, and pixel-level artifacts, our system can identify manipulated content with high accuracy. The modelis trained on a dataset of real and fake videos to improve detection efficiency. This project helps combat digitaldeception and ensures the authenticity of visual content.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-28
DOI
https://doi.org/10.5281/zenodo.15099431
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

DEEPFAKE BUSTER: AI-POWERED DEEPFAKE DETECTION

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

DEEPFAKE BUSTER: AI-POWERED DEEPFAKE DETECTION

article en

Abstract

Deepfake technology has rapidly advanced, making it difficult to distinguish between real and manipulated media.This poses serious risks, including misinformation, identity theft, and fraud. Our project, Deepfake Buster, aims todetect AI-generated deepfake videos using machine learning techniques. By analyzing facial movements,inconsistencies, and pixel-level artifacts, our system can identify manipulated content with high accuracy. The modelis trained on a dataset of real and fake videos to improve detection efficiency. This project helps combat digitaldeception and ensures the authenticity of visual content.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Generative Adversarial Networks and Image Synthesis
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DEEPFAKE BUSTER: AI-POWERED DEEPFAKE DETECTION · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS