46 citations · 107 across the 3 of their papers we have counts for
3 papers
cs.CR2018★ 24 cited
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn
Krishnaram Kenthapadi, Thanh T. L. Tran
Preserving privacy of users is a key requirement of web-scale analytics and reporting applications, and has witnessed a renewed focus in light of recent data breaches and new regul…
cs.DB2011★ 37 cited
Differentially Private Publication of Sparse Data
Graham Cormode, Magda Procopiuc, Divesh Srivastava +1
The problem of privately releasing data is to provide a version of a dataset without revealing sensitive information about the individuals who contribute to the data. The model of…
cs.DB2009★ 46 cited
Capturing Data Uncertainty in High-Volume Stream Processing
Yanlei Diao, Boduo Li, Anna Liu +4
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuses…