pith. sign in

Title resolution pending

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

fields

eess.AS 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

HCFD: A Benchmark for Audio Deepfake Detection in Healthcare

eess.AS · 2026-04-19 · unverdicted · novelty 6.0

HCFD is a new pathology-aware benchmark and dataset for codec-fake audio detection in healthcare, with PHOENIX-Mamba achieving up to 97% accuracy by modeling fakes as modes in hyperbolic space.

citing papers explorer

Showing 1 of 1 citing paper.

  • HCFD: A Benchmark for Audio Deepfake Detection in Healthcare eess.AS · 2026-04-19 · unverdicted · none · ref 49

    HCFD is a new pathology-aware benchmark and dataset for codec-fake audio detection in healthcare, with PHOENIX-Mamba achieving up to 97% accuracy by modeling fakes as modes in hyperbolic space.