Abstract
Audio signals can reveal intimate details about a person's life, including their conversations, health status, emotions, location, and personal preferences. Unauthorized access or misuse of this information can have profound personal and social implications. In an era increasingly populated by devices capable of audio recording, safeguarding user privacy is a critical obligation. This work studies the ethical and privacy concerns in current audio classification systems. We discuss the challenges and research directions in designing privacy-preserving audio sensing systems. We propose privacy-preserving audio features that can be used to classify wide range of audio classes, while being privacy preserving.
Abstract (translated)
音频信号可以揭示一个人生活的亲密细节，包括他们的谈话、健康状况、情感、位置和个人喜好。未经授权访问或滥用这种信息可能会对个人和社会产生深远的影响。在音频录制功能日益普及的时代，保护用户隐私是一项重要的个人和社会责任。本研究旨在研究当前音频分类系统中伦理和隐私问题。我们讨论了设计隐私保护音频传感系统的挑战和研究方向。我们提出了可以用于分类广泛音频类别的隐私保护音频特征。
URL
https://arxiv.org/abs/2404.18002
