Reproducibility materials for label-sealed cross-domain reliability auditing of deepfake video detectors
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资源简介:
Sanitized manifests; derived DFDC, DeepfakeTIMIT/VidTIMIT, SDFVD, and HiDF predictions; fixed multiseed and independent-backbone summaries; LSRA/CTSG/ASRG protocols; analysis code; result tables; and deterministic vector-figure sources supporting analysis-level reproduction of the SCI3 manuscript. Raw videos, face crops, feature caches, pretrained weights, trained checkpoints, and complete detector training/preprocessing/inference source are excluded. Licensing: except where a file states otherwise, derived data, documentation, tables, and figures are licensed under CC BY-NC 4.0. Python and PowerShell source-code files are additionally licensed under the MIT License; see LICENSE_CODE_MIT.txt.
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Zenodo创建时间:
2026-07-20



