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Pedro C. Neto

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#artificial intelligence Preprint Sep 2026

What Makes Adversarial Examples Transfer Across Deepfake Detectors?

A controlled evaluation of adversarial transferability across 60 detectors spanning six backbones, two pretraining regimes, and five training-data configurations establishes source-model selection as central dimensions of credible transfer-based black-box robustness evaluation.

Rafael M. Mamede, Pedro C. Neto, A. F. Sequeira · 0 citations

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