Structural Image De-Identification for Privacy-Preserving Deep Learning.
DongHyun KoSeokHwan ChoiJin-Myeong ShinPeng LiuYoon-Ho ChoiPublished in: IEEE Access (2020)
Keyphrases
- privacy preserving
- deep learning
- privacy preservation
- multiscale
- image content
- input image
- image classification
- privacy preserving data mining
- image features
- vertically partitioned data
- image segmentation
- image retrieval
- image representation
- segmentation method
- privacy issues
- scalar product
- data mining
- sensitive information
- private information
- privacy protection
- privacy concerns
- multi party
- secure multiparty computation
- data quality
- differential privacy
- data privacy
- sensitive data
- test images
- segmentation algorithm
- feature vectors
- computer vision