Author

Yibo Bai

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Preprint Oct 2026

Preemptive defense against re-identification attacks on voice anonymization via adversarial perturbation

Voice anonymization (VA) is used to conceal the voice identities in speech data. Performance is usually estimated using automatic speaker verification (ASV) as a proxy to judge the capability of an attacker to re-identify speakers after anonymization. The defender anonymizes test utterances; the attacker compares them...

M. Panariello, Yi-Bo Bai, Massimiliano Todisco et al. · 0 citations

Preprint Jul 2026

Positive-Incentive Noise Predictor for Adversarial Purification in Speaker Verification

The Positive-Incentive Noise Predictor (PnP) is proposed, the first framework that explicitly introduces positive-incentive noise ({\pi}-noise) into the purification task and effectively defends against adversarial attacks while preserving performance on natural speech.

Yibo Bai, Sizhou Chen, M. Panariello et al. · 0 citations