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Volumn , Issue , 2013, Pages 665-676

PrivGene: Differentially private model fitting using genetic algorithms

Author keywords

Differential privacy; Genetic algorithms; Model fitting

Indexed keywords

DIFFERENTIAL PRIVACIES; K-MEANS CLUSTERING; LOGISTIC REGRESSIONS; MODEL FITTING; RANDOM PERTURBATIONS; SPECIAL PROPERTIES; STATE-OF-THE-ART SCHEME; SVM CLASSIFICATION;

EID: 84880547850     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2463676.2465330     Document Type: Conference Paper
Times cited : (86)

References (35)
  • 1
    • 84880563445 scopus 로고    scopus 로고
    • https://international.ipums.org.
  • 5
    • 34249753618 scopus 로고
    • Support-vector networks
    • Sept.
    • C. Cortes and V. Vapnik. Support-vector networks. Mach. Learn., 20(3):273-297, Sept. 1995.
    • (1995) Mach. Learn. , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 6
    • 0002478891 scopus 로고
    • Adapting operator probabilities in genetic algorithms
    • San Francisco, CA, USA Morgan Kaufmann Publishers Inc.
    • L. Davis. Adapting operator probabilities in genetic algorithms. In Proceedings of the third international conference on Genetic algorithms, pages 61-69, San Francisco, CA, USA, 1989. Morgan Kaufmann Publishers Inc.
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms , pp. 61-69
    • Davis, L.1
  • 7
  • 8
    • 79959954388 scopus 로고    scopus 로고
    • 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
  • 9
    • 33746335051 scopus 로고    scopus 로고
    • Differential privacy
    • C. Dwork. Differential privacy. In ICALP, pages 1-12, 2006.
    • (2006) ICALP , pp. 1-12
    • Dwork, C.1
  • 10
    • 33745556605 scopus 로고    scopus 로고
    • 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
  • 13
    • 77956195013 scopus 로고    scopus 로고
    • Data mining with differential privacy
    • A. Friedman and A. Schuster. Data mining with differential privacy. In KDD, pages 493-502, 2010.
    • (2010) KDD , pp. 493-502
    • Friedman, A.1    Schuster, A.2
  • 15
    • 78650518102 scopus 로고    scopus 로고
    • 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
    • 0043164385 scopus 로고
    • Adaptation in natural and artificial systems: An introductory analysis with applications to biology
    • MIT Press, Cambridge, MA, USA
    • J. H. Holland. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence. MIT Press, Cambridge, MA, USA, 1992.
    • (1992) Control and Artificial Intelligence
    • Holland, J.H.1
  • 17
    • 0003508724 scopus 로고    scopus 로고
    • Wiley Series in Probability and Statistics: Texts and References Section. Wiley
    • D. Hosmer and S. Lemeshow. Applied Logistic Regression. Wiley Series in Probability and Statistics: Texts and References Section. Wiley, 2000.
    • (2000) Applied Logistic Regression
    • Hosmer, D.1    Lemeshow, S.2
  • 18
    • 77952279809 scopus 로고    scopus 로고
    • Private record matching using differential privacy
    • A. Inan, M. Kantarcioglu, G. Ghinita, and E. Bertino. Private record matching using differential privacy. In EDBT, pages 123-134, 2010.
    • (2010) EDBT , pp. 123-134
    • Inan, A.1    Kantarcioglu, M.2    Ghinita, G.3    Bertino, E.4
  • 19
    • 79959983519 scopus 로고    scopus 로고
    • No free lunch in data privacy
    • D. Kifer and A. Machanavajjhala. No free lunch in data privacy. In SIGMOD, pages 193-204, 2011.
    • (2011) SIGMOD , pp. 193-204
    • Kifer, D.1    Machanavajjhala, A.2
  • 20
    • 84862624687 scopus 로고    scopus 로고
    • A rigorous and customizable framework for privacy
    • D. Kifer and A. Machanavajjhala. A rigorous and customizable framework for privacy. In PODS, 2012.
    • (2012) PODS
    • Kifer, D.1    Machanavajjhala, A.2
  • 21
    • 84920035372 scopus 로고    scopus 로고
    • Private convex optimization for empirical risk minimization with applications to high-dimensional regression
    • D. Kifer, A. D. Smith, and A. Thakurta. Private convex optimization for empirical risk minimization with applications to high-dimensional regression. Journal of Machine Learning Research - Proceedings Track, 23:25.1-25.40, 2012.
    • (2012) Journal of Machine Learning Research - Proceedings Track , vol.23 , pp. 251-2540
    • Kifer, D.1    Smith, A.D.2    Thakurta, A.3
  • 23
    • 77954715960 scopus 로고    scopus 로고
    • 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
  • 24
    • 84872862536 scopus 로고    scopus 로고
    • Privbasis: Frequent itemset mining with differential privacy
    • N. Li, W. Qardaji, D. Su, and J. Cao. Privbasis: Frequent itemset mining with differential privacy. PVLDB, 5(11):1340-1351, 2012.
    • (2012) PVLDB , vol.5 , Issue.11 , pp. 1340-1351
    • Li, N.1    Qardaji, W.2    Su, D.3    Cao, J.4
  • 25
    • 0020102027 scopus 로고    scopus 로고
    • Least squares quantization in pcm
    • Sept.
    • S. Lloyd. Least squares quantization in pcm. IEEE Trans. Inf. Theor., 28(2):129-137, Sept. 2006.
    • (2006) IEEE Trans. Inf. Theor. , vol.28 , Issue.2 , pp. 129-137
    • Lloyd, S.1
  • 26
    • 46749128577 scopus 로고    scopus 로고
    • 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
  • 27
    • 84862658503 scopus 로고    scopus 로고
    • Gupt: Privacy preserving data analysis made easy
    • P. Mohan, A. Thakurta, E. Shi, D. Song, and D. Culler. Gupt: privacy preserving data analysis made easy. In SIGMOD, pages 349-360, 2012.
    • (2012) SIGMOD , pp. 349-360
    • Mohan, P.1    Thakurta, A.2    Shi, E.3    Song, D.4    Culler, D.5
  • 31
    • 79959714549 scopus 로고    scopus 로고
    • Privacy-preserving statistical estimation with optimal convergence rate
    • A. Smith. Privacy-preserving statistical estimation with optimal convergence rate. In STOC, 2011.
    • (2011) STOC
    • Smith, A.1
  • 32
    • 77952787160 scopus 로고    scopus 로고
    • 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
  • 33
    • 84864195481 scopus 로고    scopus 로고
    • Differentially private histogram publication
    • J. Xu, Z. Zhang, X. Xiao, Y. Yang, and G. Yu. Differentially private histogram publication. In ICDE, 2012.
    • (2012) ICDE
    • Xu, J.1    Zhang, Z.2    Xiao, X.3    Yang, Y.4    Yu, G.5
  • 34
    • 84872862526 scopus 로고    scopus 로고
    • Low-rank mechanism: Optimizing batch queries under differential privacy
    • G. Yuan, Z. Zhang, M. Winslett, X. Xiao, Y. Yang, and Z. Hao. Low-rank mechanism: Optimizing batch queries under differential privacy. PVLDB, 5(11):1352-1363, 2012.
    • (2012) PVLDB , vol.5 , Issue.11 , pp. 1352-1363
    • Yuan, G.1    Zhang, Z.2    Winslett, M.3    Xiao, X.4    Yang, Y.5    Hao, Z.6
  • 35
    • 84873178476 scopus 로고    scopus 로고
    • Functional mechanism: Regression analysis under differential privacy
    • J. Zhang, Z. Zhang, X. Xiao, Y. Yang, and M. Winslett. Functional mechanism: Regression analysis under differential privacy. PVLDB, 5(11):1364-1375, 2012.
    • (2012) PVLDB , vol.5 , Issue.11 , pp. 1364-1375
    • Zhang, J.1    Zhang, Z.2    Xiao, X.3    Yang, Y.4    Winslett, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.