Private-encoder: Enforcing privacy in latent space for human face images.
Yuan ZhaoBo LiuTianqing ZhuMing DingWanlei ZhouPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- face images
- face recognition
- latent space
- human faces
- facial expressions
- principal component analysis
- high resolution
- latent variables
- feature vectors
- input image
- feature extraction
- training set
- low dimensional
- lower dimensional
- dimensionality reduction
- gaussian process
- generative model
- manifold learning
- feature points
- probabilistic latent semantic analysis
- parameter space
- super resolution
- matrix factorization
- training data
- gaussian mixture
- co occurrence
- machine learning