IEEE International Workshop on Information Forensics and Security (WIFS)

Vom 1. bis 4. Dezember 2025 fand die 17th IEEE International Workshop on Information Forensics and Security (WIFS) statt. Das Fraunhofer IDMT präsentierte seine aktuellen Forschungsarbeiten im Bereich Medienforensik mit einem Beitrag zum Thema Audiophylogenie.

Milica Gerhardt, Luca Cuccovillo, Patrick Aichroth

Audio phylogeny aims to reconstruct the transformation history of near-duplicate audio files by identifying parent-child relationships and tracing their modification paths. A key challenge is accurately estimating the transformations between file pairs, particularly when sequences of edits (e.g., compression, trimming, fading) or missing intermediate files are involved.

We propose a deep learning-based method that formulates transformation detection as a multi-label classification task, enabling the identification of multiple transformations per audio pair. Unlike existing approaches limited to detecting one or two transformations, our method achieves notable improvements in accuracy when reconstructing sparse and incomplete trees. To address the variability of real-world scenarios—including both full and sparse trees—we further introduce a hybrid strategy that combines our model with the current state-of-the-art, balancing precision in dense trees with robustness in sparse conditions.