Personalized and Invertible Face De-identification
摘要
Most of the existing de-identification methods suffer from some limitations since they mainly focus on the protection process and are usually non-reversible. In this chapter, we propose a personalized and invertible de-identification method based on the deep generative model, where the main idea is to introduce a user-specific password and an adjustable parameter to control the direction and degree of identity variation.