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Collaborative, Privacy-Preserving Data Aggregation Benny Applebaum1
 

Summary: Collaborative, Privacy-Preserving Data Aggregation
at Scale
Benny Applebaum1
, Haakon Ringberg2
, Michael J. Freedman2
, Matthew Caesar3
,
and Jennifer Rexford2
1
Weizmann Institute of Science
2
Princeton University
3
UIUC
Abstract. Combining and analyzing data collected at multiple administrative lo-
cations is critical for a wide variety of applications, such as detecting malicious
attacks or computing an accurate estimate of the popularity of Web sites. How-
ever, legitimate concerns about privacy often inhibit participation in collaborative
data aggregation. In this paper, we design, implement, and evaluate a practical
solution for privacy-preserving data aggregation (PDA) among a large number of

  

Source: Applebaum, Benny - Faculty of Mathematics and Computer Science, Weizmann Institute of Science

 

Collections: Computer Technologies and Information Sciences