Zehong Huang

Compressing a Flow-Based Privacy Protection Model via a Novel Joint Distilling and Pruning Method

While reversible anonymization techniques have been shown to be effective in protecting facial information, most of these methods rely on large reversible generative models that are only suitable for running on cloud servers, which poses a huge challenge to placing such privacy-preserving models on…