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Ana F. Sequeira

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SEP 9, 2026 · PREPRINT

What Makes Adversarial Examples Transfer Across Deepfake Detectors?

arXiv

This is an unreviewed computational study characterizing adversarial transferability across deepfake detectors using controlled experiments, contributing methodological insight but lacking clinical or real-world validation data.

PreliminaryPedro C. Neto Ana F. Sequeira Rafael M. Mamede

Reported

Mean ASR (non-target sources, Aut…7.21%

Mean ASR (non-target sources, CW–…19.52%

Mean ASR (multi-source oracle)64.48%

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