Individual privacy constraints on time-series data
作者：
Highlights：
• We present a formalism for individual privacy constraints that is very general.
• Our solution subsumes strong privacy guarantees such as differential privacy.
• We identify solutions for any constraints using general optimization techniques.
• Our complexity-reduction approach speeds up computations by orders of magnitude.
• The evaluation shows that our solution protects well against known privacy attacks.
摘要
Highlights•We present a formalism for individual privacy constraints that is very general.•Our solution subsumes strong privacy guarantees such as differential privacy.•We identify solutions for any constraints using general optimization techniques.•Our complexity-reduction approach speeds up computations by orders of magnitude.•The evaluation shows that our solution protects well against known privacy attacks.
论文关键词：Data privacy,Time series analysis,Differential privacy
论文评审过程：Received 5 May 2015, Revised 10 June 2015, Accepted 11 June 2015, Available online 20 June 2015, Version of Record 24 July 2015.
论文官网地址：https://doi.org/10.1016/j.is.2015.06.006
