ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection
arXiv:2604.16749v1 Announce Type: cross
Abstract: Audio deepfakes pose a significant security threat, yet current state-of-the-art (SOTA) detection systems do not generalize well to realistic in-the-wild deepfakes. We introduce a novel \textbf{I}n-\te…