PVIDM: Privacy-preserving verifiable shape context based image denoising and matching with efficient outsourcing in the malicious setting.
Jun ZhouMeng ZhengZhenfu CaoXiaolei DongPublished in: Comput. Secur. (2020)
Keyphrases
- privacy preserving
- image denoising
- denoising
- noisy images
- natural images
- privacy preservation
- privacy preserving data mining
- total variation
- image processing
- vertically partitioned data
- partial differential equations
- private information
- multi party
- privacy concerns
- sensitive information
- denoising methods
- data privacy
- record linkage
- privacy preserving association rule mining
- wavelet domain hidden markov tree
- wavelet coefficients
- privacy protection
- privacy sensitive
- partitioned data
- private data
- privacy requirements
- machine learning
- computer vision
- secure multiparty computation
- scalar product
- feature extraction
- user privacy
- privacy issues
- multiscale
- higher order
- graph cuts
- denoising algorithm