English(EN) InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization

InfoShield 方法增强了心理健康筛查的语音隐私

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-05 04:00

研究人员开发了 InfoShield，一种用于心理健康筛查的隐私保护语音分析新方法。该技术利用信息论优化来降低语音表示与性别和年龄等敏感用户属性之间的相关性。实验表明，InfoShield 在保持抑郁症检测高绩效的同时，显著降低了从语音推断这些属性的准确性。 AI

影响增强了人工智能驱动的心理健康工具的隐私性，可能增加用户信任和采用率。

排序理由该集群包含一篇学术论文，详细介绍了隐私保护语音分析的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Xueyang Wu, Siyuan Liu, Kezhuo Yang, Guang Ling · 2026-06-05 04:00

InfoShield：通过信息论优化实现用于心理健康筛查的隐私保护语音表示

arXiv:2606.05561v1 Announce Type: new Abstract: Speech-based mental health screening offers scalable depression detection, yet clinical deployment faces a significant barrier: users' privacy concerns about demographic information exposure. Current techniques struggle to resolve t…