Tootfinder

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations
Yibo Bai, Sizhou Chen, Michele Panariello, Xiao-Lei Zhang, Massimiliano Todisco, Nicholas Evans
https://arxiv.org/abs/2508.19180

MDD: a Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations
Speaker verification systems are increasingly deployed in security-sensitive applications but remain highly vulnerable to adversarial perturbations. In this work, we propose the Mask Diffusion Detector (MDD), a novel adversarial detection and purification framework based on a \textit{text-conditioned masked diffusion model}. During training, MDD applies partial masking to Mel-spectrograms and progressively adds noise through a forward diffusion process, simulating the degradation of clean speec…