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Privacy Preserving Stream Analytics: The Marriage of Randomized Response
  and Approximate Computing

Privacy Preserving Stream Analytics: The Marriage of Randomized Response and Approximate Computing

19 January 2017
D. Quoc
Martin Beck
Pramod Bhatotia
Ruichuan Chen
Christof Fetzer
T. Strufe
ArXivPDFHTML

Papers citing "Privacy Preserving Stream Analytics: The Marriage of Randomized Response and Approximate Computing"

4 / 4 papers shown
Title
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
92
1,990
0
25 Jul 2014
BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very
  Large Data
BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data
Sameer Agarwal
Aurojit Panda
Barzan Mozafari
Samuel Madden
Ion Stoica
63
773
0
25 Mar 2012
A Learning Theory Approach to Non-Interactive Database Privacy
A Learning Theory Approach to Non-Interactive Database Privacy
Avrim Blum
Katrina Ligett
Aaron Roth
84
550
0
10 Sep 2011
Optimizing Histogram Queries under Differential Privacy
Optimizing Histogram Queries under Differential Privacy
Chao Li
Michael Hay
Vibhor Rastogi
G. Miklau
A. Mcgregor
61
351
0
23 Dec 2009
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