InfoShield uses TimeAwareMINE to minimize mutual information between speech representations and sensitive attributes, cutting gender inference from 92.6% to 55.5% and age inference from 55.7% to 30.3% while dropping depression F1 by only 6%.
Federated learning with differen- tial privacy for end-to-end speech recognition,
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InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization
InfoShield uses TimeAwareMINE to minimize mutual information between speech representations and sensitive attributes, cutting gender inference from 92.6% to 55.5% and age inference from 55.7% to 30.3% while dropping depression F1 by only 6%.