Preserving privacy for sensitive values of individuals in data publishing based on a new additive noise approach.
Hong ZhuShengli TianMeiyi XieMengyuan YangPublished in: ICCCN (2014)
Keyphrases
- additive noise
- preserving privacy
- data publishing
- privacy preserving
- privacy preservation
- data privacy
- noisy images
- maximum likelihood
- private information
- spatial domain
- privacy preserving data mining
- random variables
- privacy concerns
- privacy protection
- privacy issues
- personal information
- differential privacy
- information loss
- sensitive data
- data mining applications
- databases
- data quality
- image denoising
- pattern recognition