-
1
-
-
1142275486
-
Revealing information while preserving privacy
-
I. Dinur and K. Nissim. Revealing information while preserving privacy. In PODS, 2003.
-
(2003)
PODS
-
-
Dinur, I.1
Nissim, K.2
-
2
-
-
33244461250
-
Privacy-preserving datamining on vertically partitioned databases
-
Springer
-
Cynthia Dwork and Kobbi Nissim. Privacy-preserving datamining on vertically partitioned databases. In CRYPTO. Springer, 2004.
-
(2004)
CRYPTO
-
-
Dwork, C.1
Nissim, K.2
-
3
-
-
33746086554
-
Calibrating noise to sensitivity in private data analysis
-
C. Dwork, F. McSherry, K. Nissim, and A. Smith. Calibrating noise to sensitivity in private data analysis. In TCC, 2006.
-
(2006)
TCC
-
-
Dwork, C.1
McSherry, F.2
Nissim, K.3
Smith, A.4
-
4
-
-
77954693909
-
The differential privacy frontier (extended abstract)
-
Cynthia Dwork. The differential privacy frontier (extended abstract). In TCC, 2009.
-
(2009)
TCC
-
-
Dwork, C.1
-
5
-
-
84863306898
-
The promise of differential privacy: A tutorial on algorithmic techniques
-
Cynthia Dwork. The promise of differential privacy: A tutorial on algorithmic techniques. In FOCS, 2011.
-
(2011)
FOCS
-
-
Dwork, C.1
-
6
-
-
0032202014
-
Efficient noise-tolerant learning from statistical queries
-
Michael J. Kearns. Efficient noise-tolerant learning from statistical queries. Journal of the ACM (JACM), 45(6):983-1006, 1998.
-
(1998)
Journal of the ACM (JACM)
, vol.45
, Issue.6
, pp. 983-1006
-
-
Kearns, M.J.1
-
7
-
-
33244468835
-
Practical privacy: The SuLQ framework
-
ACM
-
Avrim Blum, Cynthia Dwork, Frank McSherry, and Kobbi Nissim. Practical privacy: the SuLQ framework. In Proc. 24th PODS, pages 128-138. ACM, 2005.
-
(2005)
Proc. 24th PODS
, pp. 128-138
-
-
Blum, A.1
Dwork, C.2
McSherry, F.3
Nissim, K.4
-
8
-
-
78751482528
-
A multiplicative weights mechanism for interactive privacy-preserving data analysis
-
Moritz Hardt and Guy Rothblum. A multiplicative weights mechanism for interactive privacy-preserving data analysis. In FOCS, 2010.
-
(2010)
FOCS
-
-
Hardt, M.1
Rothblum, G.2
-
9
-
-
79959740503
-
Privately releasing conjunctions and the statistical query barrier
-
Anupam Gupta, Moritz Hardt, Aaron Roth, and Jon Ullman. Privately releasing conjunctions and the statistical query barrier. In STOC, 2011.
-
(2011)
STOC
-
-
Gupta, A.1
Hardt, M.2
Roth, A.3
Ullman, J.4
-
10
-
-
46749128577
-
Mechanism design via differential privacy
-
Frank McSherry and Kunal Talwar. Mechanism design via differential privacy. In FOCS, 2007.
-
(2007)
FOCS
-
-
McSherry, F.1
Talwar, K.2
-
11
-
-
84862661374
-
Efficient batch query answering under differential privacy
-
abs/1103.1367
-
Chao Li and Gerome Miklau. Efficient batch query answering under differential privacy. CoRR, abs/1103.1367, 2011.
-
(2011)
CoRR
-
-
Li, C.1
Miklau, G.2
-
12
-
-
84863733988
-
An adaptive mechanism for accurate query answering under differential privacy
-
to appear
-
Chao Li and Gerome Miklau. An adaptive mechanism for accurate query answering under differential privacy. to appear, PVLDB, 2012.
-
(2012)
PVLDB
-
-
Li, C.1
Miklau, G.2
-
13
-
-
84864124854
-
Differential privacy and the risk-utility tradeoff for multi-dimensional contingency tables
-
Stephen E. Fienberg, Alessandro Rinaldo, and Xiolin Yang. Differential privacy and the risk-utility tradeoff for multi-dimensional contingency tables. In Privacy in Statistical Databases, 2010.
-
(2010)
Privacy in Statistical Databases
-
-
Fienberg, S.E.1
Rinaldo, A.2
Yang, X.3
-
14
-
-
79959954388
-
Differentially private data cubes: Optimizing noise sources and consistency
-
Bolin Ding, MarianneWinslett, Jiawei Han, and Zhenhui Li. Differentially private data cubes: optimizing noise sources and consistency. In SIGMOD, 2011.
-
(2011)
SIGMOD
-
-
Ding, B.1
Winslett, M.2
Han, J.3
Li, Z.4
-
15
-
-
70350689921
-
On the complexity of differentially private data release: Efficient algorithms and hardness results
-
Cynthia Dwork, Moni Naor, Omer Reingold, Guy N. Rothblum, and Salil P. Vadhan. On the complexity of differentially private data release: efficient algorithms and hardness results. In STOC, 2009.
-
(2009)
STOC
-
-
Dwork, C.1
Naor, M.2
Reingold, O.3
Rothblum, G.N.4
Vadhan, S.P.5
-
16
-
-
84923559797
-
PCPs and the hardness of generating private synthetic data
-
Jonathan Ullman and Salil P. Vadhan. PCPs and the hardness of generating private synthetic data. In TCC, 2011.
-
(2011)
TCC
-
-
Ullman, J.1
Vadhan, S.P.2
-
17
-
-
70350689921
-
On the complexity of differentially private data release: Efficient algorithms and hardness results
-
C. Dwork, M. Naor, O. Reingold, G.N. Rothblum, and S. Vadhan. On the complexity of differentially private data release: efficient algorithms and hardness results. In STOC, 2009.
-
(2009)
STOC
-
-
Dwork, C.1
Naor, M.2
Reingold, O.3
Rothblum, G.N.4
Vadhan, S.5
-
18
-
-
85047802462
-
A learning theory approach to non-interactive database privacy
-
Avrim Blum, Katrina Ligett, and Aaron Roth. A learning theory approach to non-interactive database privacy. In STOC, 2008.
-
(2008)
STOC
-
-
Blum, A.1
Ligett, K.2
Roth, A.3
-
19
-
-
78751522594
-
Boosting and differential privacy
-
Cynthia Dwork, Guy Rothblum, and Salil Vadhan. Boosting and differential privacy. In FOCS, 2010.
-
(2010)
FOCS
-
-
Dwork, C.1
Rothblum, G.2
Vadhan, S.3
-
20
-
-
77954719763
-
The median mechanism: Interactive and efficient privacy with multiple queries
-
Aaron Roth and Tim Roughgarden. The median mechanism: Interactive and efficient privacy with multiple queries. In STOC, 2010.
-
(2010)
STOC
-
-
Roth, A.1
Roughgarden, T.2
-
21
-
-
35448955720
-
Privacy, accuracy, and consistency too: A holistic solution to contingency table release
-
B. Barak, K. Chaudhuri, C. Dwork, S. Kale, F. McSherry, and K. Talwar. Privacy, accuracy, and consistency too: a holistic solution to contingency table release. In PODS, 2007.
-
(2007)
PODS
-
-
Barak, B.1
Chaudhuri, K.2
Dwork, C.3
Kale, S.4
McSherry, F.5
Talwar, K.6
-
22
-
-
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, 2010.
-
(2010)
PODS
-
-
Li, C.1
Hay, M.2
Rastogi, V.3
Miklau, G.4
McGregor, A.5
-
24
-
-
78650518102
-
Boosting the accuracy of differentially-private queries through consistency
-
Michael Hay, Vibhor Rastogi, Gerome Miklau, and Dan Suciu. Boosting the accuracy of differentially-private queries through consistency. In VLDB, 2010.
-
(2010)
VLDB
-
-
Hay, M.1
Rastogi, V.2
Miklau, G.3
Suciu, D.4
-
25
-
-
84877742369
-
Measuring the achievable error of query sets under differential privacy
-
abs/1202.3399v2
-
Chao Li and Gerome Miklau. Measuring the achievable error of query sets under differential privacy. CoRR, abs/1202.3399v2, 2012.
-
(2012)
CoRR
-
-
Li, C.1
Miklau, G.2
|