AT-ADD Challenge: Pushing All‑Type Audio Deepfake Detection Forward
The AT‑ADD competition, organized for ACM MM 2026, invites researchers to develop robust audio deepfake detection models across speech, environmental sounds, singing, and music, providing diverse real‑world datasets, baseline code, clear evaluation metrics, and a two‑stage submission process to advance AI security.
