Low-rank mechanism : optimizing batch queries under differential privacy

• Main Authors: Yuan, Ganzhao, Zhang, Zhenjie, Winslett, Marianne, Xiao, Xiaokui, Yang, Yin, Hao, Zhifeng
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/102393; http://hdl.handle.net/10220/18932; http://arxiv.org/abs/1208.0094
• Institution: Nanyang Technological University

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...