-
1
-
-
77949617188
-
Bounds on the sample complexity for private learning and private data release
-
Micciancio, D. (ed.) TCC 2010. Springer, Heidelberg
-
Beimel, A., Kasiviswanathan, S.P., Nissim, K.: Bounds on the sample complexity for private learning and private data release. In: Micciancio, D. (ed.) TCC 2010. LNCS, vol. 5978, pp. 437-454. Springer, Heidelberg (2010)
-
(2010)
LNCS
, vol.5978
, pp. 437-454
-
-
Beimel, A.1
Kasiviswanathan, S.P.2
Nissim, K.3
-
2
-
-
84873351478
-
Characterizing the sample complexity of private learners
-
Beimel, A., Nissim, K., Stemmer, U.: Characterizing the sample complexity of private learners. In: ITCS, pp. 97-110 (2013)
-
(2013)
ITCS
, pp. 97-110
-
-
Beimel, A.1
Nissim, K.2
Stemmer, U.3
-
3
-
-
33244468835
-
Practical privacy: The SuLQ framework
-
ACM
-
Blum, A., Dwork, C., McSherry, F., Nissim, K.: Practical privacy: The SuLQ framework. In: PODS, pp. 128-138. ACM (2005)
-
(2005)
PODS
, pp. 128-138
-
-
Blum, A.1
Dwork, C.2
McSherry, F.3
Nissim, K.4
-
4
-
-
84877909042
-
A learning theory approach to noninteractive database privacy
-
Blum, A., Ligett, K., Roth, A.: A learning theory approach to noninteractive database privacy. J. ACM 60(2), 12:1-12:25 (2013)
-
(2013)
J. ACM
, vol.60
, Issue.2
-
-
Blum, A.1
Ligett, K.2
Roth, A.3
-
5
-
-
84885588035
-
Sample complexity bounds for differentially private learning
-
Chaudhuri, K., Hsu, D.: Sample complexity bounds for differentially private learning. In: COLT, vol. 19, pp. 155-186 (2011)
-
(2011)
COLT
, vol.19
, pp. 155-186
-
-
Chaudhuri, K.1
Hsu, D.2
-
6
-
-
84858307870
-
Lower bounds in differential privacy
-
Cramer, R. (ed.) TCC 2012. Springer, Heidelberg
-
De, A.: Lower bounds in differential privacy. In: Cramer, R. (ed.) TCC 2012. LNCS, vol. 7194, pp. 321-338. Springer, Heidelberg (2012)
-
(2012)
LNCS
, vol.7194
, pp. 321-338
-
-
De, A.1
-
7
-
-
33746037200
-
Our data, ourselves: Privacy via distributed noise generation
-
DOI 10.1007/11761679-29, Advances in Cryptology - EUROCRYPT 2006 - 24th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Proceedings
-
Dwork, C.,Kenthapadi,K.,McSherry, F., Mironov, I.,Naor,M.:Our data, ourselves: Privacy via distributed noise generation. In: Vaudenay, S. (ed.) EUROCRYPT 2006. LNCS, vol. 4004, pp. 486-503. Springer, Heidelberg (2006) (Pubitemid 44072257)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4004 LNCS
, pp. 486-503
-
-
Dwork, C.1
Kenthapadi, K.2
McSherry, F.3
Mironov, I.4
Naor, M.5
-
8
-
-
70350682013
-
Differential privacy and robust statistics
-
ACM, New York
-
Dwork, C., Lei, J.: Differential privacy and robust statistics. In: STOC 2009, pp. 371-380. ACM, New York (2009)
-
(2009)
STOC 2009
, pp. 371-380
-
-
Dwork, C.1
Lei, J.2
-
9
-
-
33745556605
-
Calibrating noise to sensitivity in private data analysis
-
DOI 10.1007/11681878-14, Theory of Cryptography: Third Theory of Cryptography Conference, TCC 2006, Proceedings
-
Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating noise to sensitivity in private data analysis. In: Halevi, S., Rabin, T. (eds.) TCC 2006. LNCS, vol. 3876, pp. 265-284. Springer, Heidelberg (2006) (Pubitemid 43979853)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.3876 LNCS
, pp. 265-284
-
-
Dwork, C.1
McSherry, F.2
Nissim, K.3
Smith, A.4
-
10
-
-
70350689921
-
On the complexity of differentially private data release
-
ACM
-
Dwork, C., Naor, M., Reingold, O., Rothblum, G., Vadhan, S.: On the complexity of differentially private data release. In: STOC, pp. 381-390. ACM (2009)
-
(2009)
STOC
, pp. 381-390
-
-
Dwork, C.1
Naor, M.2
Reingold, O.3
Rothblum, G.4
Vadhan, S.5
-
11
-
-
79959740503
-
Privately releasing conjunctions and the statistical query barrier
-
ACM, New York
-
Gupta, A., Hardt, M., Roth, A., Ullman, J.: Privately releasing conjunctions and the statistical query barrier. In: STOC, pp. 803-812. ACM, New York (2011)
-
(2011)
STOC
, pp. 803-812
-
-
Gupta, A.1
Hardt, M.2
Roth, A.3
Ullman, J.4
-
12
-
-
77954711905
-
On the geometry of differential privacy
-
Hardt, M., Talwar, K.: On the geometry of differential privacy. In: STOC,7 pp. 705-714 (2010)
-
(2010)
STOC
, vol.7
, pp. 705-714
-
-
Hardt, M.1
Talwar, K.2
-
14
-
-
57949111704
-
What can we learn privately?
-
IEEE Computer Society
-
Kasiviswanathan, S.P., Lee, H.K., Nissim, K., Raskhodnikova, S., Smith, A.: What can we learn privately? In: FOCS, pp. 531-540. IEEE Computer Society (2008)
-
(2008)
FOCS
, pp. 531-540
-
-
Kasiviswanathan, S.P.1
Lee, H.K.2
Nissim, K.3
Raskhodnikova, S.4
Smith, A.5
-
15
-
-
0032202014
-
Efficient noise-tolerant learning from statistical queries
-
Kearns, M.J.: Efficient noise-tolerant learning from statistical queries. Journal of the ACM 45(6), 983-1006 (1998);
-
(1998)
Journal of the ACM
, vol.45
, Issue.6
, pp. 983-1006
-
-
Kearns, M.J.1
-
17
-
-
46749128577
-
Mechanism design via differential privacy
-
IEEE
-
McSherry, F., Talwar, K.: Mechanism design via differential privacy. In: FOCS, pp. 94-103. IEEE (2007)
-
(2007)
FOCS
, pp. 94-103
-
-
McSherry, F.1
Talwar, K.2
-
18
-
-
78149311849
-
Differential privacy and the fat-shattering dimension of linear queries
-
Serna, M., Shaltiel, R., Jansen, K., Rolim, J. (eds.) APPROX and RANDOM 2010. Springer, Heidelberg
-
Roth, A.: Differential privacy and the fat-shattering dimension of linear queries. In: Serna, M., Shaltiel, R., Jansen, K., Rolim, J. (eds.) APPROX and RANDOM 2010. LNCS, vol. 6302, pp. 683-695. Springer, Heidelberg (2010)
-
(2010)
LNCS
, vol.6302
, pp. 683-695
-
-
Roth, A.1
-
20
-
-
84885236790
-
2+o(1) counting queries with differential privacy is hard
-
abs/1207.6945
-
2+o(1) counting queries with differential privacy is hard. CoRR, abs/1207.6945 (2012)
-
(2012)
CoRR
-
-
Ullman, J.1
-
21
-
-
79953172891
-
PCPs and the hardness of generating private synthetic data
-
Ishai, Y. (ed.) TCC 2011. Springer, Heidelberg
-
Ullman, J., Vadhan, S.: PCPs and the hardness of generating private synthetic data. In: Ishai, Y. (ed.) TCC 2011. LNCS, vol. 6597, pp. 400-416. Springer, Heidelberg (2011)
-
(2011)
LNCS
, vol.6597
, pp. 400-416
-
-
Ullman, J.1
Vadhan, S.2
-
22
-
-
0021518106
-
A theory of the learnable
-
Valiant, L.G.: A theory of the learnable. Communications of the ACM27, 1134-1142 (1984)
-
(1984)
Communications of the ACM
, vol.27
, pp. 1134-1142
-
-
Valiant, L.G.1
|