On the Measurement of Privacy as an Attacker's Estimation Error
David Rebollo-MonederoJavier Parra-ArnauClaudia DíazJordi FornéPublished in: CoRR (2011)
Keyphrases
- estimation error
- estimation accuracy
- privacy preserving
- standard deviation
- personal information
- approximation error
- error rate
- covariance matrix
- privacy preserving data mining
- average error
- personal data
- security issues
- statistical databases
- step size
- private information
- privacy concerns
- sensitive data
- machine learning
- privacy protection
- cost function
- optimal solution
- multiscale
- private data
- feature extraction