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2023

FLORIDA: Fake-looking Real Images Dataset

Borji, Ali

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Although extensive research has been carried out to evaluate the effectiveness of AI tools and models in detecting deep fakes, the question remains unanswered regarding whether these models can accurately identify genuine images that appear artificial.

In this study, as an initial step towards addressing this issue, we have curated a dataset of 510 genuine images that exhibit a fake appearance and conducted an assessment using two AI models.
We show that two models exhibited subpar performance when applied to our dataset.
Additionally, our dataset can serve as a valuable tool for assessing the ability of deep learning models to comprehend complex visual stimuli.

FLORIDA: Fake-looking Real Images Dataset · Around

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Image forgery detection using deep learning: a survey
Zankhana J Barad and Mukesh M Goswami · 2020
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What makes fake images detectable? understanding properties that generalize
Lucy Chai, David Bau, Ser-Nam Lim, and Phillip Isola · 2020
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Deepfakes: Trick or treat?
Jan Kietzmann, Linda W Lee, Ian P McCarthy, and Tim C Kietzmann · 2020
Earlier work this paper cites.
Deepfake detection: Current challenges and next steps
Siwei Lyu · 2020
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