메뉴 건너뛰기




Volumn 2, Issue , 2012, Pages 989-997

Near-optimal differentially private principal components

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENTIAL PRIVACIES; EMPIRICAL PERFORMANCE; LOW-DIMENSIONAL APPROXIMATION; PERFORMANCE GAPS; PRINCIPAL COMPONENTS; PRINCIPAL COMPONENTS ANALYSIS; SAMPLE COMPLEXITY; SENSITIVE INFORMATIONS;

EID: 84877730447     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (126)

References (28)
  • 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., MCSHERRY, F., AND TALWAR, K. Privacy, accuracy, and consistency too: a holistic solution to contingency table release. In PODS (2007), pp. 273-282.
    • (2007) PODS , pp. 273-282
    • Barak, B.1    Chaudhuri, K.2    Dwork, C.3    Kale, S.4    McSherry, F.5    Talwar, K.6
  • 2
    • 33244468835 scopus 로고    scopus 로고
    • Practical privacy: The SuLQ framework
    • BLUM, A., DWORK, C., MCSHERRY, F., AND NISSIM, K. Practical privacy: the SuLQ framework. In PODS (2005), pp. 128-138.
    • (2005) PODS , pp. 128-138
    • Blum, A.1    Dwork, C.2    McSherry, F.3    Nissim, K.4
  • 3
    • 57049136138 scopus 로고    scopus 로고
    • A learning theory approach to non-interactive database privacy
    • R. E. Ladner and C. Dwork, Eds., ACM
    • BLUM, A., LIGETT, K., AND ROTH, A. A learning theory approach to non-interactive database privacy. In STOC (2008), R. E. Ladner and C. Dwork, Eds., ACM, pp. 609-618.
    • (2008) STOC , pp. 609-618
    • Blum, A.1    Ligett, K.2    Roth, A.3
  • 4
    • 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
    • 84867127144 scopus 로고    scopus 로고
    • Convergence rates for differentially private statistical estimation
    • CHAUDHURI, K., AND HSU, D. Convergence rates for differentially private statistical estimation. In ICML (2012).
    • (2012) ICML
    • Chaudhuri, K.1    Hsu, D.2
  • 7
    • 84877749760 scopus 로고    scopus 로고
    • Lecture Notes in Statistics. Springer, New York
    • CHIKUSE, Y. Statistics on Special Manifolds. No. 174 in Lecture Notes in Statistics. Springer, New York, 2003.
    • (2003) Statistics on Special Manifolds , Issue.174
    • Chikuse, Y.1
  • 8
    • 33746037200 scopus 로고    scopus 로고
    • Our data, ourselves: Privacy via distributed noise generation
    • DWORK, C., KENTHAPADI, K., MCSHERRY, F., MIRONOV, I., AND NAOR, M. Our data, ourselves: Privacy via distributed noise generation. In EUROCRYPT (2006), vol. 4004, pp. 486-503.
    • (2006) EUROCRYPT , vol.4004 , pp. 486-503
    • Dwork, C.1    Kenthapadi, K.2    McSherry, F.3    Mironov, I.4    Naor, M.5
  • 10
    • 77956195013 scopus 로고    scopus 로고
    • Data mining with differential privacy
    • FRIEDMAN, A., AND SCHUSTER, A. Data mining with differential privacy. In KDD (2010), pp. 493-502.
    • (2010) KDD , pp. 493-502
    • Friedman, A.1    Schuster, A.2
  • 11
    • 77951201056 scopus 로고    scopus 로고
    • Privacy-preserving data publishing: A survey of recent developments
    • (June) 53 pages
    • FUNG, B. C. M., WANG, K., CHEN, R., AND YU, P. S. Privacy-preserving data publishing: A survey of recent developments. ACM Comput. Surv. 42, 4 (June 2010), 53 pages.
    • (2010) ACM Comput. Surv. , vol.42 , Issue.4
    • Fung, B.C.M.1    Wang, K.2    Chen, R.3    Yu, P.S.4
  • 12
    • 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), pp. 265-273.
    • (2008) KDD , pp. 265-273
    • Ganta, S.R.1    Kasiviswanathan, S.P.2    Smith, A.3
  • 13
    • 67649637295 scopus 로고    scopus 로고
    • Privacy-preserving singular value decomposition
    • 29 2009-april 2
    • HAN, S., NG, W. K., AND YU, P. Privacy-preserving singular value decomposition. In ICDE (29 2009-april 2 2009), pp. 1267 -1270.
    • (2009) ICDE , pp. 1267-1270
    • Han, S.1    Ng, W.K.2    Yu, P.3
  • 14
    • 84862594279 scopus 로고    scopus 로고
    • Beating randomized response on incoherent matrices
    • HARDT, M., AND ROTH, A. Beating randomized response on incoherent matrices. In STOC (2012).
    • (2012) STOC
    • Hardt, M.1    Roth, A.2
  • 15
    • 77950649162 scopus 로고    scopus 로고
    • Simulation of the matrix Bingham-von Mises-Fisher distribution, with applications to multivariate and relational data
    • HOFF, P. D. Simulation of the matrix Bingham-von Mises-Fisher distribution, with applications to multivariate and relational data. J. Comp. Graph. Stat. 18, 2 (2009), 438-456.
    • (2009) J. Comp. Graph. Stat. , vol.18 , Issue.2 , pp. 438-456
    • Hoff, P.D.1
  • 16
    • 84877754739 scopus 로고    scopus 로고
    • On differentially private low rank approximation
    • KAPRALOV, M., AND TALWAR, K. On differentially private low rank approximation. In Proc. of SODA (2013).
    • (2013) Proc. of SODA
    • Kapralov, M.1    Talwar, K.2
  • 18
    • 31344447750 scopus 로고    scopus 로고
    • Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
    • LIU, K., KARGUPTA, H., AND RYAN, J. Random projection-based multiplicative data perturbation for privacy preserving distributed data mining. IEEE Trans. Knowl. Data Eng. 18, 1 (2006), 92-106.
    • (2006) IEEE Trans. Knowl. Data Eng. , vol.18 , Issue.1 , pp. 92-106
    • Liu, K.1    Kargupta, H.2    Ryan, J.3
  • 20
    • 70849116921 scopus 로고    scopus 로고
    • Privacy integrated queries: An extensible platform for privacy-preserving data analysis
    • MCSHERRY, F. Privacy integrated queries: an extensible platform for privacy-preserving data analysis. In SIGMOD Conference (2009), pp. 19-30.
    • (2009) SIGMOD Conference , pp. 19-30
    • McSherry, F.1
  • 21
    • 70350678967 scopus 로고    scopus 로고
    • Differentially private recommender systems: Building privacy into the netflix prize contenders
    • MCSHERRY, F., AND MIRONOV, I. Differentially private recommender systems: Building privacy into the netflix prize contenders. In KDD (2009), pp. 627-636.
    • (2009) KDD , pp. 627-636
    • McSherry, F.1    Mironov, I.2
  • 22
    • 46749128577 scopus 로고    scopus 로고
    • Mechanism design via differential privacy
    • MCSHERRY, F., AND TALWAR, K. Mechanism design via differential privacy. In FOCS (2007), pp. 94-103.
    • (2007) FOCS , pp. 94-103
    • McSherry, F.1    Talwar, K.2
  • 23
    • 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), pp. 493-501.
    • (2011) KDD , pp. 493-501
    • Mohammed, N.1    Chen, R.2    Fung, B.C.M.3    Yu, P.S.4
  • 24
    • 35448955271 scopus 로고    scopus 로고
    • Smooth sensitivity and sampling in private data analysis
    • D. S. Johnson and U. Feige, Eds. ACM
    • NISSIM, K., RASKHODNIKOVA, S., AND SMITH, A. Smooth sensitivity and sampling in private data analysis. In STOC (2007), D. S. Johnson and U. Feige, Eds., ACM, pp. 75-84.
    • (2007) STOC , pp. 75-84
    • Nissim, K.1    Raskhodnikova, S.2    Smith, A.3
  • 25
    • 0027879547 scopus 로고
    • On the early history of the singular value decomposition
    • SIAM
    • STEWART, G. On the early history of the singular value decomposition. SIAM Review 35, 4 (1993), 551-566.
    • (1993) Review , vol.35 , Issue.4 , pp. 551-566
    • Stewart, G.1
  • 26
    • 77952555772 scopus 로고    scopus 로고
    • A statistical framework for differential privacy
    • WASSERMAN, L., AND ZHOU, S. A statistical framework for differential privacy. JASA 105, 489 (2010).
    • (2010) JASA , vol.105 , pp. 489
    • Wasserman, L.1    Zhou, S.2
  • 27
    • 85161972679 scopus 로고    scopus 로고
    • Probabilistic inference and differential privacy
    • WILLIAMS, O., AND MCSHERRY, F. Probabilistic inference and differential privacy. In NIPS (2010).
    • (2010) NIPS
    • Williams, O.1    McSherry, F.2
  • 28
    • 71449099936 scopus 로고    scopus 로고
    • Privacy-preserving support vector machine classification
    • ZHAN, J. Z., AND MATWIN, S. Privacy-preserving support vector machine classification. IJIIDS 1, 3/4 (2007), 356-385.
    • (2007) IJIIDS , vol.1 , Issue.3-4 , pp. 356-385
    • Zhan, J.Z.1    Matwin, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.