3 papers
eess.AS2026
Why Do You Say It Like That? A Phoneme-Level Framework for Explainable Speech Deepfake Detection
Anna Taylor, Michele Panariello, Massimiliano Todisco +3
As the accuracy of speech deepfake detection improves with the use of self-supervised representations such as wav2vec 2.0 and HuBERT, understanding why the speech is classified as…
cs.SD2026
Fair-Gate: Fairness-Aware Interpretable Risk Gating for Sex-Fair Voice Biometrics
Yangyang Qu, Massimiliano Todisco, Chiara Galdi +1
Voice biometric systems can exhibit sex-related performance gaps even when overall verification accuracy is strong. We attribute these gaps to two practical mechanisms: (i) demogra…
cs.CV2024
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems
Chiara Galdi, Michele Panariello, Massimiliano Todisco +1
We introduce 2D-Malafide, a novel and lightweight adversarial attack designed to deceive face deepfake detection systems. Building upon the concept of 1D convolutional perturbation…