Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain.
Jiazhen JiHuan WangYuge HuangJiaxiang WuXingkun XuShouhong DingShengchuan ZhangLiujuan CaoRongrong JiPublished in: CoRR (2022)
Keyphrases
- frequency domain
- privacy preserving
- face recognition
- privacy preserving data mining
- feature extraction
- privacy preservation
- spatial domain
- vertically partitioned data
- private information
- data privacy
- differential privacy
- privacy requirements
- sensitive information
- privacy concerns
- preserving privacy
- secure multiparty computation
- privacy sensitive
- subband
- face images
- privacy guarantees
- record linkage
- sensitive data
- multi party
- privacy protection
- sparse representation
- privacy preserving classification
- privacy issues
- private data
- privacy preserving association rule mining
- data perturbation
- principal component analysis
- homomorphic encryption
- horizontally partitioned data
- personal data
- location privacy
- denoising
- user privacy
- data publishing
- scalar product
- differentially private
- facial expressions
- data anonymization
- data security
- dimensionality reduction
- feature space
- multiscale
- image processing
- computer vision