PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow.
Lin YuanKai LiangXiao PuYan ZhangJiaxu LengTao WuNannan WangXinbo GaoPublished in: CoRR (2023)
Keyphrases
- face images
- privacy preserving
- vertically partitioned data
- data transformation
- secure multiparty computation
- scalar product
- horizontally partitioned data
- face recognition
- multi party
- sensitive data
- human faces
- privacy preserving data mining
- homomorphic encryption
- facial expressions
- automatic face
- face recognition systems
- data privacy
- user privacy
- facial features
- privacy preservation
- face verification
- principal component analysis
- gender recognition
- face matching
- face databases
- feature vectors
- face recognition algorithms
- illumination variations
- private information
- training set
- pose variations
- high resolution
- face model
- face space
- privacy concerns
- privacy protection
- human face recognition
- expression recognition
- feature extraction
- input image
- face representation
- face identification
- data security
- semi honest
- video sequences
- sensitive information
- age estimation
- differential privacy
- database
- low resolution face images