计算机应用研究2012，Vol.29Issue(9)：3201-3205,3211,6.DOI:10.3969/j.issn.1001-3695.2012.09.001
差分隐私保护研究综述
Survey of research on differential privacy
摘要
Abstract
Differential privacy approach makes data distortion to preserve privacy by means of adding noise. To a rigorous defined attacking model, differential privacy ensures that adding little amount of noise have a low risk of privacy disclosure. This paper surveyed the definition of differential privacy, showed the newest results in research, introduced algorithms of classify, clustering on differentially private learning, and presented a differential privacy application framework PINQ( privacy integrated queries). Finally, this paper discussed directions for future research.关键词
差分隐私/隐私保护/数据失真/数据挖掘/数据发布Key words
differential privacy/privacy preserving/data distortion/data mining/data releasing分类
信息技术与安全科学引用本文复制引用
李杨,温雯,谢光强..差分隐私保护研究综述[J].计算机应用研究,2012,29(9):3201-3205,3211,6.基金项目
国家自然科学基金资助项目(61074185) （61074185）
广东省中国科学院全面战略合作项目 (2010B090301042) （2010B090301042）
