PriPeARL
Author:
Affiliation:
1. LinkedIn Corporation, Mountain View, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3269206.3272031
Reference31 articles.
1. Security-control methods for statistical databases: a comparative study
2. Privacy-preserving data mining
3. Wherefore art thou r3579x?
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Overview of Usable Privacy Research: Major Themes and Research Directions;Synthesis Lectures on Information Security, Privacy, and Trust;2024
2. Towards Separating Computational and Statistical Differential Privacy;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06
3. A Grey Literature Review on Data Stream Processing applications testing;Journal of Systems and Software;2023-09
4. Differentially Private Timeseries Forecasts for Networked Control;2023 American Control Conference (ACC);2023-05-31
5. M$$^2$$M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch;Security and Trust Management;2023
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