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Volumn 2, Issue , 2012, Pages 1327-1334

Convergence rates for differentially private statistical estimation

Author keywords

[No Author keywords available]

Indexed keywords

CLASS OF DISTRIBUTIONS; CONVERGENCE RATES; DIFFERENTIAL PRIVACIES; GROSS ERRORS; RANDOM NOISE; ROBUST STATISTICS; STATISTICAL ESTIMATION; STATISTICAL ESTIMATORS; UPPER AND LOWER BOUNDS; UPPER BOUND; WORK STUDY;

EID: 84867127144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (44)

References (23)
  • 1
    • 35448955720 scopus 로고    scopus 로고
    • Privacy, accuracy, and consistency too: A holistic solution to contingency table release
    • Barak, B., Chaudhuri, K., Dwork, C., Kale, S., Mc-Sherry, F., and Talwar, K. 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    Mc-Sherry, F.5    Talwar, K.6
  • 3
    • 84867135103 scopus 로고    scopus 로고
    • Sample complexity bounds for differentially private learning
    • Chaudhuri, K. and Hsu, D. Sample complexity bounds for differentially private learning. In COLT, 2011.
    • (2011) COLT
    • Chaudhuri, K.1    Hsu, D.2
  • 5
    • 0001529786 scopus 로고
    • Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator
    • Dvoretzky, A., Kiefer, J., and Wolfowitz, J. Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator. Annals of Mathematical Statistics, 27(3):642-669, 1956.
    • (1956) Annals of Mathematical Statistics , vol.27 , Issue.3 , pp. 642-669
    • Dvoretzky, A.1    Kiefer, J.2    Wolfowitz, J.3
  • 6
    • 70350682013 scopus 로고    scopus 로고
    • Differential privacy and robust statistics
    • Dwork, C. and Lei, J. Differential privacy and robust statistics. In STOC, 2009.
    • (2009) STOC
    • Dwork, C.1    Lei, J.2
  • 8
    • 33746086554 scopus 로고    scopus 로고
    • Calibrating noise to sensitivity in private data analysis
    • Dwork, C., McSherry, F., Nissim, K., and Smith, A. Calibrating noise to sensitivity in private data analysis. In TCC, 2006b.
    • (2006) TCC
    • Dwork, C.1    McSherry, F.2    Nissim, K.3    Smith, A.4
  • 9
    • 77956195013 scopus 로고    scopus 로고
    • Data mining with differential privacy
    • Friedman, A. and Schuster, A. Data mining with differential privacy. In KDD, 2010.
    • (2010) KDD
    • Friedman, A.1    Schuster, A.2
  • 10
    • 65449162734 scopus 로고    scopus 로고
    • Composition attacks and auxiliary information in data privacy
    • Ganta, S. R., Kasiviswanathan, S. P., and Smith, A. Composition attacks and auxiliary information in data privacy. In KDD, 2008.
    • (2008) KDD
    • Ganta, S.R.1    Kasiviswanathan, S.P.2    Smith, A.3
  • 12
    • 77954711905 scopus 로고    scopus 로고
    • On the geometry of differential privacy
    • Hardt, M. and Talwar, K. On the geometry of differential privacy. In STOC, 2010.
    • (2010) STOC
    • Hardt, M.1    Talwar, K.2
  • 14
    • 85162408461 scopus 로고    scopus 로고
    • Differentially private M-estimators
    • Lei, J. Differentially private M-estimators. In NIPS, 2011.
    • (2011) NIPS
    • Lei, J.1
  • 15
    • 0000506938 scopus 로고
    • The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
    • Massart, P. The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality. Annals of Probability, 18(3):1269-1283, 1990.
    • (1990) Annals of Probability , vol.18 , Issue.3 , pp. 1269-1283
    • Massart, P.1
  • 16
    • 79960016482 scopus 로고    scopus 로고
    • Differentially private recommender systems: Building privacy into the net
    • McSherry, F. and Mironov, I. Differentially private recommender systems: building privacy into the net. In KDD, 2009.
    • (2009) KDD
    • McSherry, F.1    Mironov, I.2
  • 17
    • 46749128577 scopus 로고    scopus 로고
    • Mechanism design via differential privacy
    • McSherry, F. and Talwar, K. Mechanism design via differential privacy. In FOCS, 2007.
    • (2007) FOCS
    • McSherry, F.1    Talwar, K.2
  • 18
    • 80052663001 scopus 로고    scopus 로고
    • Differentially private data release for data mining
    • Mohammed, N., Chen, R., Fung, B. C. M., and Yu, P. S. Differentially private data release for data mining. In KDD, 2011.
    • (2011) KDD
    • Mohammed, N.1    Chen, R.2    Fung, B.C.M.3    Yu, P.S.4
  • 19
    • 35448955271 scopus 로고    scopus 로고
    • Smooth sensitivity and sampling in private data analysis
    • Nissim, K., Raskhodnikova, S., and Smith, A. Smooth sensitivity and sampling in private data analysis. In STOC, 2007.
    • (2007) STOC
    • Nissim, K.1    Raskhodnikova, S.2    Smith, A.3
  • 20
    • 84867131655 scopus 로고    scopus 로고
    • Learning in a large function space: Privacy-preserving mechanisms for svm learning
    • abs/0911.5708
    • Rubinstein, Benjamin I. P., Bartlett, Peter L., Huang, Ling, and Taft, Nina. Learning in a large function space: Privacy-preserving mechanisms for svm learning. CoRR, abs/0911.5708, 2009.
    • (2009) CoRR
    • Rubinstein, B.I.P.1    Bartlett, P.L.2    Huang, L.3    Taft, N.4
  • 21
    • 79959714549 scopus 로고    scopus 로고
    • Privacy-preserving statistical estimation with optimal convergence rates
    • Smith, A. Privacy-preserving statistical estimation with optimal convergence rates. In STOC, 2011.
    • (2011) STOC
    • Smith, A.1
  • 22
    • 77951195988 scopus 로고    scopus 로고
    • Differential privacy for clinical trial data: Preliminary evaluations
    • Vu, D. and Slavkovic, A. Differential privacy for clinical trial data: Preliminary evaluations. In Data Mining Workshops, ICDMW, 2009.
    • Data Mining Workshops, ICDMW, 2009
    • Vu, D.1    Slavkovic, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.