-
2
-
-
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, 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
-
3
-
-
0002652285
-
A maximum entropy approach to natural language processing
-
A. L. Berger, S. D. Pietra, and V. J. D. Pietra. A maximum entropy approach to natural language processing. Computational Linguistics, 22(1):39-71, 1996.
-
(1996)
Computational Linguistics
, vol.22
, Issue.1
, pp. 39-71
-
-
Berger, A.L.1
Pietra, S.D.2
Pietra, V.J.D.3
-
4
-
-
57049136138
-
A learning theory approach to non-interactive database privacy
-
A. Blum, K. Ligett, and A. Roth. A learning theory approach to non-interactive database privacy. In STOC, pages 609-618, 2008.
-
(2008)
STOC
, pp. 609-618
-
-
Blum, A.1
Ligett, K.2
Roth, A.3
-
5
-
-
84858769465
-
Privacy-preserving logistic regression
-
K. Chaudhuri and C. Monteleoni. Privacy-preserving logistic regression. In NIPS, pages 289-296, 2008.
-
(2008)
NIPS
, pp. 289-296
-
-
Chaudhuri, K.1
Monteleoni, C.2
-
8
-
-
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 Conference, pages 217-228, 2011.
-
(2011)
SIGMOD Conference
, pp. 217-228
-
-
Ding, B.1
Winslett, M.2
Han, J.3
Li, Z.4
-
9
-
-
33746037200
-
Our data, ourselves: Privacy via distributed noise generation
-
C. Dwork, K. Kenthapadi, F. McSherry, I. Mironov, and M. Naor. Our data, ourselves: Privacy via distributed noise generation. In EUROCRYPT, pages 486-503, 2006.
-
(2006)
EUROCRYPT
, 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
-
C. Dwork, F. McSherry, K. Nissim, and A. Smith. Calibrating noise to sensitivity in private data analysis. In TCC, pages 265-284, 2006.
-
(2006)
TCC
, pp. 265-284
-
-
Dwork, C.1
McSherry, F.2
Nissim, K.3
Smith, A.4
-
11
-
-
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. P. Vadhan. On the complexity of differentially private data release: efficient algorithms and hardness results. In STOC, pages 381-390, 2009.
-
(2009)
STOC
, pp. 381-390
-
-
Dwork, C.1
Naor, M.2
Reingold, O.3
Rothblum, G.N.4
Vadhan, S.P.5
-
12
-
-
77954735969
-
Universally optimal privacy mechanisms for minimax agents
-
M. Gupte and M. Sundararajan. Universally optimal privacy mechanisms for minimax agents. In PODS, pages 135-146, 2010.
-
(2010)
PODS
, pp. 135-146
-
-
Gupte, M.1
Sundararajan, M.2
-
13
-
-
78751489078
-
A multiplicative weights mechanism for privacy-preserving data analysis
-
M. Hardt and G. N. 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.N.2
-
14
-
-
77954711905
-
On the geometry of differential privacy
-
M. Hardt and K. Talwar. On the geometry of differential privacy. In STOC, pages 705-714, 2010.
-
(2010)
STOC
, pp. 705-714
-
-
Hardt, M.1
Talwar, K.2
-
15
-
-
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):1021-1032, 2010.
-
(2010)
PVLDB
, vol.3
, Issue.1
, pp. 1021-1032
-
-
Hay, M.1
Rastogi, V.2
Miklau, G.3
Suciu, D.4
-
16
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. D. Lafferty, A. McCallum, and F. C. N. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, pages 282-289, 2001.
-
(2001)
ICML
, pp. 282-289
-
-
Lafferty, J.D.1
McCallum, A.2
Pereira, F.C.N.3
-
17
-
-
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
-
19
-
-
46749128577
-
Mechanism design via differential privacy
-
F. McSherry and K. Talwar. Mechanism design via differential privacy. In FOCS, pages 94-103, 2007.
-
(2007)
FOCS
, pp. 94-103
-
-
McSherry, F.1
Talwar, K.2
-
20
-
-
34250642810
-
Privacy via pseudorandom sketches
-
N. Mishra and M. Sandler. Privacy via pseudorandom sketches. In PODS, pages 143-152, 2006.
-
(2006)
PODS
, pp. 143-152
-
-
Mishra, N.1
Sandler, M.2
-
21
-
-
35448955271
-
Smooth sensitivity and sampling in private data analysis
-
K. Nissim, S. Raskhodnikova, and A. Smith. Smooth sensitivity and sampling in private data analysis. In STOC, pages 75-84, 2007.
-
(2007)
STOC
, pp. 75-84
-
-
Nissim, K.1
Raskhodnikova, S.2
Smith, A.3
-
22
-
-
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
-
24
-
-
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 Conference, pages 229-240, 2011.
-
(2011)
SIGMOD Conference
, pp. 229-240
-
-
Xiao, X.1
Bender, G.2
Hay, M.3
Gehrke, J.4
-
25
-
-
77952787160
-
Differential privacy via wavelet transforms
-
X. Xiao, G. Wang, and J. Gehrke. Differential privacy via wavelet transforms. In ICDE, pages 225-236, 2010.
-
(2010)
ICDE
, pp. 225-236
-
-
Xiao, X.1
Wang, G.2
Gehrke, J.3
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