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  4. Robustness of Reverse Image Search Engines in the Era of AI-generated Media
 
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February 2, 2025
Journal Article
Title

Robustness of Reverse Image Search Engines in the Era of AI-generated Media

Abstract
Reverse Image Search engines play a critical role in Open Source Intelligence (OSINT) and media forensics. They help uncover the origins of images, restoring original contexts and verifying authenticity. This capability is essential for distinguishing benign images from manipulated content. However, the robustness of these search engines is increasingly challenged by the application of post-processing operations and advancements in generative AI, which can produce highly realistic synthetic images. This paper analyzes the robustness of current reverse image search engines and highlights several shortcomings, emphasizing the need for enhanced resilience against AI-generated content to maintain their effectiveness in OSINT and media forensics.
Author(s)
Frick, Raphael
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Stein, Felix
Wallrabenstein, Katharina Anja
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Zmudzinski, Sascha  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Journal
Electronic imaging. Online journal  
Conference
International Symposium on Electronic Imaging 2025  
Media Watermarking, Security, and Forensics Conference 2025  
DOI
10.2352/EI.2025.37.4.MWSF-303
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English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
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