-
1
-
-
85039686565
-
-
http://abel.ee.ucla.edu/cvxopt/.
-
-
-
-
2
-
-
85039688863
-
-
http://dbgroup.cs.umass.edu/code/.
-
-
-
-
3
-
-
85039691729
-
-
http://www.mcs.anl.gov/hs/software/dsdp/.
-
-
-
-
4
-
-
35448955720
-
Privacy, accuracy, and consistency: A holistic solution to contingency table release
-
B. Barak, K. Chaudhuri, C. Dwork, S. Kale, F. McSherry, and K. Talwar. Privacy, accuracy, and consistency: A holistic solution to contingency table release. In PODS, pages 273-282, 2007.
-
(2007)
PODS
, pp. 273-282
-
-
Barak, B.1
Chaudhuri, K.2
Dwork, C.3
Kale, S.4
McSherry, F.5
Talwar, K.6
-
5
-
-
84863743921
-
-
Convex optimization. Cambridge University Press
-
S. Boyd and L. Vandenberghe. Convex optimization. Cambridge University Press, 2004.
-
(2004)
-
-
Boyd, S.1
Vandenberghe, L.2
-
6
-
-
84864197091
-
Differentially private spatial decompositions
-
G. Cormode, M. Procopiuc, E. Shen, D. Srivastava, and T. Yu. Differentially private spatial decompositions. In ICDE, 2012.
-
(2012)
ICDE
-
-
Cormode, G.1
Procopiuc, M.2
Shen, E.3
Srivastava, D.4
Yu, T.5
-
7
-
-
79959954388
-
Differentially private data cubes: optimizing noise sources and consistency
-
B. Ding, M. Winslett, J. Han, and Z. Li. Differentially private data cubes: optimizing noise sources and consistency. In SIGMOD, pages 217-228, 2011.
-
(2011)
SIGMOD
, pp. 217-228
-
-
Ding, B.1
Winslett, M.2
Han, J.3
Li, Z.4
-
8
-
-
78650804208
-
A firm foundation for private data analysis
-
C. Dwork. A firm foundation for private data analysis. Communications of the ACM, 54(1):86-95, 2011.
-
(2011)
Communications of the ACM
, vol.54
, Issue.1
, pp. 86-95
-
-
Dwork, C.1
-
9
-
-
33746037200
-
Our data, ourselves: Privacy via distributed noise generation
-
2006
-
C. Dwork, K. Kenthapadi, F. McSherry, I. Mironov, and M. Naor. Our data, ourselves: Privacy via distributed noise generation. In EUROCRYPT, volume 4004/2006, pages 486-503, 2006.
-
(2006)
EUROCRYPT
, vol.4004
, pp. 486-503
-
-
Dwork, C.1
Kenthapadi, K.2
McSherry, F.3
Mironov, I.4
Naor, M.5
-
10
-
-
33745556605
-
Calibrating noise to sensitivity in private data analysis
-
2006
-
C. Dwork, F. McSherry, K. Nissim, and A. Smith. Calibrating noise to sensitivity in private data analysis. In TCC, volume 3876/2006, pages 265-284, 2006.
-
(2006)
TCC
, vol.3876
, pp. 265-284
-
-
Dwork, C.1
McSherry, F.2
Nissim, K.3
Smith, A.4
-
11
-
-
70350683770
-
Universally utility-maximizing privacy mechanisms
-
A. Ghosh, T. Roughgarden, and M. Sundararajan. Universally utility-maximizing privacy mechanisms. In STOC, pages 351-360, 2009.
-
(2009)
STOC
, pp. 351-360
-
-
Ghosh, A.1
Roughgarden, T.2
Sundararajan, M.3
-
12
-
-
78751489078
-
A multiplicative weights mechanism for privacy-preserving data analysis
-
M. Hardt and G. Rothblum. A multiplicative weights mechanism for privacy-preserving data analysis. In FOCS, pages 61-70, 2010.
-
(2010)
FOCS
, pp. 61-70
-
-
Hardt, M.1
Rothblum, G.2
-
13
-
-
78650518102
-
Boosting the accuracy of differentially private histograms through consistency
-
M. Hay, V. Rastogi, G. Miklau, and D. Suciu. Boosting the accuracy of differentially private histograms through consistency. PVLDB, 3(1-2):1021-1032, 2010.
-
(2010)
PVLDB
, vol.3
, Issue.1-2
, pp. 1021-1032
-
-
Hay, M.1
Rastogi, V.2
Miklau, G.3
Suciu, D.4
-
14
-
-
77954715960
-
Optimizing linear counting queries under differential privacy
-
C. Li, M. Hay, V. Rastogi, G. Miklau, and A. McGregor. Optimizing linear counting queries under differential privacy. In PODS, pages 123-134, 2010.
-
(2010)
PODS
, pp. 123-134
-
-
Li, C.1
Hay, M.2
Rastogi, V.3
Miklau, G.4
McGregor, A.5
-
15
-
-
85039683359
-
-
Measuring the achievable error of query sets under differential privacy. CoRR, abs/1202.3399
-
C. Li and G. Miklau. Measuring the achievable error of query sets under differential privacy. CoRR, abs/1202.3399, 2012.
-
(2012)
-
-
Li, C.1
Miklau, G.2
-
16
-
-
70849116921
-
Privacy integrated queries: An extensible platform for privacy-preserving data analysis
-
F. McSherry. Privacy integrated queries: An extensible platform for privacy-preserving data analysis. In SIGMOD, pages 89-97, 2009.
-
(2009)
SIGMOD
, pp. 89-97
-
-
McSherry, F.1
-
17
-
-
70350678967
-
Differentially private recommender systems: Building privacy into the netflix prize contenders
-
F. McSherry and I. Mironov. Differentially private recommender systems: Building privacy into the netflix prize contenders. In SIGKDD, pages 627-636, 2009.
-
(2009)
SIGKDD
, pp. 627-636
-
-
McSherry, F.1
Mironov, I.2
-
18
-
-
0004244030
-
Optimal design of experiments
-
Wiley-Interscience
-
F. Pukelsheim. Optimal design of experiments. Wiley-Interscience, 1993.
-
(1993)
-
-
Pukelsheim, F.1
-
19
-
-
77954745685
-
Interactive privacy via the median mechanism
-
A. Roth and T. Roughgarden. Interactive privacy via the median mechanism. In STOC, pages 765-774, 2010.
-
(2010)
STOC
, pp. 765-774
-
-
Roth, A.1
Roughgarden, T.2
-
20
-
-
79959998772
-
iReduct: Differential privacy with reduced relative errors
-
X. Xiao, G. Bender, M. Hay, and J. Gehrke. iReduct: Differential privacy with reduced relative errors. In SIGMOD, pages 229-240, 2011.
-
(2011)
SIGMOD
, pp. 229-240
-
-
Xiao, X.1
Bender, G.2
Hay, M.3
Gehrke, J.4
-
21
-
-
79959540412
-
Differential privacy via wavelet transforms
-
X. Xiao, G. Wang, and J. Gehrke. Differential privacy via wavelet transforms. In ICDE, pages 1200-1214, 2010.
-
(2010)
ICDE
, pp. 1200-1214
-
-
Xiao, X.1
Wang, G.2
Gehrke, J.3
-
22
-
-
78649814930
-
Differentially private data release through multidimensional partitioning
-
Y. Xiao, L. Xiong, and C. Yuan. Differentially private data release through multidimensional partitioning. In SDM, pages 150-168, 2010.
-
(2010)
SDM
, pp. 150-168
-
-
Xiao, Y.1
Xiong, L.2
Yuan, C.3
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