REVEAL: A Retrieval-Augmented Generation Approach for Contextual Identification of Synthetic Visual Content

Authors

Abdenour Hadid (ORCID: https://orcid.org/0000-0001-9092-735X)
Mamadou Keïta (ORCID: https://orcid.org/0009-0009-7618-9253)
Wassim Hamidouche (ORCID: https://orcid.org/0000-0002-0143-1756)
Abdelmalik Taleb‐Ahmed (ORCID: https://orcid.org/0000-0001-7218-3799)
Hessen Bougueffa Eutamene (ORCID: https://orcid.org/0009-0009-0556-9996)

Institutions

Khalifa University of Science and Technology (AE)
Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR)
Sorbonne University Abu Dhabi (AE)
Université Polytechnique Hauts-de-France (FR)

Publication Details

Published: 2025-10-08
DOI: https://doi.org/10.1145/3746265.3759667
Primary Topic: Generative Adversarial Networks and Image Synthesis
Type: article
Field-Weighted Citation Impact: 0.00

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article

REVEAL: A Retrieval-Augmented Generation Approach for Contextual Identification of Synthetic Visual Content

Abdenour Hadid, Mamadou Keïta, Wassim Hamidouche, Abdelmalik Taleb‐Ahmed et al.

Oct 8, 2025

Generative Adversarial Networks and Image Synthesis

article

REVEAL: A Retrieval-Augmented Generation Approach for Contextual Identification of Synthetic Visual Content

Abdenour Hadid, Mamadou Keïta, Wassim Hamidouche, Abdelmalik Taleb‐Ahmed, Hessen Bougueffa Eutamene

October 8, 2025article en

Abstract

No abstract available for this paper.

Khalifa University of Science and Technology (AE), Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR), Sorbonne University Abu Dhabi (AE), Université Polytechnique Hauts-de-France (FR)

Openalex Percentile: Top 72%

Generative Adversarial Networks and Image Synthesis

DOI Source OpenAlex

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