Low-rank mechanism : optimizing batch queries under differential privacy

• Main Authors: Yuan, Ganzhao, Zhang, Zhenjie, Winslett, Marianne, Xiao, Xiaokui, Yang, Yin, Hao, Zhifeng
• 其他作者: School of Computer Engineering
• 格式: Article
• 語言: English
• 出版: 2014
• 主題: DRNTU::Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/102393; http://hdl.handle.net/10220/18932; http://arxiv.org/abs/1208.0094

Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random noise into each query result, such that it is provably hard for the adversary to infer the presence or absence of any individual record from the publishe...