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Post-hoc Selective Classification for Reliable Synthetic Image Detection

ReSIDe applies post-hoc selective classification to synthetic image detectors by aggregating layer-wise confidence scores via preference optimization, reducing AURC by up to 69.55% under covariate shift.

Kaixiang Zheng, Jacob Seidman

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5