In this survey, we recall the definition of differential privacy and two basic techniques for achieving it. We then show some interesting applications of these techniques, presenting algorithms for three specifi
C. Dwork, "Differential privacy: A survey of results," in TAMC, 2008, pp. 1-19.Cynthia Dwork. Differential privacy: A survey of results. Theory and application of models of computation, Springer, 2008.Cynthia Dwork. Differential privacy: A survey of results. In Manindra Agrawal, Dingzhu ...
Differential Privacy: A Survey of Results 3 compromises a natural definition of privacy [15]. However, in a society that has decided that the benefits of certain databases outweigh the costs, differential privacy ensures that only a limited amount of additional risk is incurred by par...
在 2016 年 6 月份的苹果 WWDC 大会上提到了一项 Differential Privacy 差分隐私技术，其作用是能够通过...
The protection of personal privacy has become a paramount issue in the field of data science, with its significance continuously rising. Differential priva
所以 -differential privacy的定义要远强于 -differential privacy。Reference: [1]. Ji, Zhanglong, Lipton, Zachary C., Elkan, Charles, Differential Privacy and Machine Learning: a Survey and Review . [2]. Cynthia Dwork, Differential Privacy: A Survey of Results ...
[3] C. Dwork , Differential privacy: Asurvey of results, Theory and Applications of Models of Computation, (2008),pp. 1–19. Previous efforts -be “broken”in the sense there are well known attacks k-anonymity -differential privacy has rigorous definition ...
Dwork, Cynthia. "Differential privacy: A survey of results."Theory and applications of models of ...
In other words, systems with different privacy guarantee can protect user privacy since the results of data analysis are almost the same, as if one’s individual data are not used [243]. Differential privacy has also been used for privacy preserving in a variety of areas, e.g., machine ...
Differential privacy and machine learning: a survey and review. CoRR, abs/1412.7584, 2014. URL http://arxiv.org/ abs/1412.7584.Ji Z, Lipton ZC, Elkan C. 2014 Differential privacy and machine learning: a survey and review. (http://arxiv.org/abs/1412.7584)...