论文标题
基于面罩模板的隐私保护
Privacy protection based on mask template
论文作者
论文摘要
强大的识别算法在互联网或重要的医疗系统中广泛使用，这对个人隐私构成了严重威胁。尽管法律规定了多样性保护，例如欧洲的一般数据保护法规（GDPR）和中国民法典第1032至1039条。但是，作为一个重要的隐私披露事件，通常隐藏了生物识别数据，这对于所有者来说很难检测并跟踪到源。图像中通常存在人类生物识别技术。为了避免披露个人隐私，我们应该防止未经授权的识别算法获取原始图像的真实特征。
Powerful recognition algorithms are widely used in the Internet or important medical systems, which poses a serious threat to personal privacy. Although the law provides for diversity protection, e.g. The General Data Protection Regulation (GDPR) in Europe and Articles 1032 to 1039 of the civil code in China. However, as an important privacy disclosure event, biometric data is often hidden, which is difficult for the owner to detect and trace to the source. Human biometrics generally exist in images. In order to avoid the disclosure of personal privacy, we should prevent unauthorized recognition algorithms from acquiring the real features of the original image.
