No Detector to Rule Them All

Deepfakes-hyper-realistic synthetic images generated by advanced AI models-pose a growing threat to privacy, security, fairness, and trust in digital media. As generative models become more sophisticated, detecting whether an image is real or synthetic is no longer a purely technical challenge, but a critical societal imperative. Robust deepfake detection is essential for preserving the integrity of online information, protecting individuals from identity misuse, and ensuring transparency in AI-generated content.

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Publication Details

Published
2025-10-08
DOI
https://doi.org/10.1145/3746265.3759659
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

No Detector to Rule Them All

Alan Perotti, Mirko Zaffaroni, Marco Nurisso
Generative Adversarial Networks and Image Synthesis
article

No Detector to Rule Them All

Alan Perotti, Mirko Zaffaroni, Marco Nurisso
article en

Abstract

Deepfakes-hyper-realistic synthetic images generated by advanced AI models-pose a growing threat to privacy, security, fairness, and trust in digital media. As generative models become more sophisticated, detecting whether an image is real or synthetic is no longer a purely technical challenge, but a critical societal imperative. Robust deepfake detection is essential for preserving the integrity of online information, protecting individuals from identity misuse, and ensuring transparency in AI-generated content.

Institute for Scientific Interchange (IT)
Openalex Percentile: Top 72%
Generative Adversarial Networks and Image Synthesis
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