Author

Volodymyr O. Artemchuk

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#federated learning Open access Oct 2026

Integrity Diagnostics for Cross-Silo Federated Deepfake Speech Detection Under Heterogeneity and Poisoning

Cross-silo deepfake speech detection must accommodate organizations that observe different attack profiles and channel conditions while avoiding routine centralization of raw speech. We study federated learning (FL) for a compact detector combining linear-frequency cepstral coefficients (LFCCs) with frozen WavLM repres...

Ihor Serhiienko, Volodymyr O. Artemchuk · Future Internet · 0 citations

#software testing Open access Sep 2026

Reproducibility package for: A Cross-Silo Experimental Framework for Federated Voice Deepfake Detection: Heterogeneity, Poisoning, and Update-Cancellation Diagnostics

Data, code, results, and provenance package for the article “A Cross-Silo Experimental Framework for Federated Voice Deepfake Detection: Heterogeneity, Poisoning, and Update-Cancellation Diagnostics.” The package contains recovered original Linear-Frequency Cepstral Coefficient (LFCC)/WavLM notebooks, model checkpoints...

Ihor Serhiienko, Volodymyr O. Artemchuk · Zenodo (CERN European Organi... · 0 citations