Privacy protection based on mask template
This tackles privacy protection for individuals in contexts like the Internet and medical systems, but appears incremental as it builds on existing legal frameworks and general biometric concerns.
The paper addresses the problem of personal privacy threats from powerful recognition algorithms by proposing a method to prevent unauthorized algorithms from acquiring real biometric features from images, though no concrete results or numbers are provided.
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.