Analysis of 61 IO500 submissions shows four orders of magnitude score variation, strong phase correlations, and log-level file-system behaviors that aggregate scores miss.
UseofRanksinOne-CriterionVarianceAnalysis.Journal of the American Statistical Association, 47(260):583–621
2 Pith papers cite this work. Polarity classification is still indexing.
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Crowdsourced judgments reliably flag authentic videos but frequently miss manipulations and struggle to identify whether changes are audio-only, video-only, or both.
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A Treasure Trove of Performance: Analyzing the IO500 Submission Data
Analysis of 61 IO500 submissions shows four orders of magnitude score variation, strong phase correlations, and log-level file-system behaviors that aggregate scores miss.
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Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes
Crowdsourced judgments reliably flag authentic videos but frequently miss manipulations and struggle to identify whether changes are audio-only, video-only, or both.