A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning.
Yuexin XiangTiantian LiWei RenTianqing ZhuKim-Kwang Raymond ChooPublished in: CoRR (2021)
Keyphrases
- lightweight
- privacy preserving
- deep learning
- image classification
- horizontally partitioned data
- privacy preserving data mining
- privacy preservation
- unsupervised learning
- vertically partitioned data
- authentication protocol
- machine learning
- bag of words
- sensitive information
- data privacy
- feature extraction
- private information
- privacy sensitive
- input image
- image features
- visual words
- mental models
- privacy concerns
- image representation
- wireless sensor networks
- data mining
- secure multiparty computation