CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning

arXiv:2404.15854v1 Announce Type: cross
Abstract: The increasing prevalence of audio deepfakes poses significant security threats, necessitating robust detection methods. While existing detection systems exhibit promise, their robustness against malicious audio manipulations remains underexplored. To bridge the gap, we undertake the first comprehensive study of the susceptibility of the most widely adopted audio deepfake detectors to manipulation attacks. Surprisingly, even manipulations like volume control can significantly bypass detection without affecting human perception. To address this, we propose CLAD (Contrastive Learning-based Audio …

arxiv attacks audio audio deepfake cs.cr cs.lg cs.sd deepfake detection eess.as manipulation robust type