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Volumn 23, Issue , 2012, Pages

Private convex empirical risk minimization and high-dimensional regression

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; REGRESSION ANALYSIS; RISK PERCEPTION;

EID: 84893149822     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (108)

References (24)
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    • Bhaskar, R.1    Laxman, S.2    Smith, A.3    Thakurta, A.4
  • 2
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    • John Wiley and Sons, New York, NY, USA, ISBN 9780471007104
    • Patrick Billingsley. Probability and Measure. John Wiley and Sons, New York, NY, USA, 1995. ISBN 9780471007104.
    • (1995) Probability and Measure
    • Billingsley, P.1
  • 3
    • 79955858775 scopus 로고    scopus 로고
    • Differentially private empirical risk minimization
    • Kamalika Chaudhuri, Claire Monteleoni, and Anand D. Sarwate. Differentially private empirical risk minimization. JMLR, 12:1069-1109, 2011.
    • (2011) JMLR , vol.12 , pp. 1069-1109
    • Chaudhuri, K.1    Monteleoni, C.2    Sarwate, A.D.3
  • 4
    • 33847128516 scopus 로고    scopus 로고
    • A probabilistic analysis of em for mixtures of separated, spherical gaussians
    • December
    • Sanjoy Dasgupta and Leonard Schulman. A probabilistic analysis of em for mixtures of separated, spherical gaussians. J. Mach. Learn. Res., 8:203-226, December 2007.
    • (2007) J. Mach. Learn. Res. , vol.8 , pp. 203-226
    • Dasgupta, S.1    Schulman, L.2
  • 5
    • 50249086141 scopus 로고    scopus 로고
    • Differential privacy
    • Cynthia Dwork. Differential privacy. In ICALP, 2006.
    • (2006) ICALP
    • Dwork, C.1
  • 6
    • 70350682013 scopus 로고    scopus 로고
    • Differential privacy and robust statistics
    • Cynthia Dwork and Jing Lei. Differential privacy and robust statistics. In STOC, 2009.
    • (2009) STOC
    • Dwork, C.1    Lei, J.2
  • 7
    • 79959952201 scopus 로고    scopus 로고
    • On the difficulties of disclosure prevention, or the case for differential privacy
    • Cynthia Dwork and Moni Naor. On the difficulties of disclosure prevention, or the case for differential privacy. Journal of Privacy and Confidentiality, 2(1), 2010.
    • (2010) Journal of Privacy and Confidentiality , vol.2 , Issue.1
    • Dwork, C.1    Naor, M.2
  • 8
  • 9
    • 33746086554 scopus 로고    scopus 로고
    • Calibrating noise to sensitivity in private data analysis
    • Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. 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
  • 12
    • 65449162734 scopus 로고    scopus 로고
    • Composition attacks and auxiliary information in data privacy
    • Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanathan, and Adam Smith. Composition attacks and auxiliary information in data privacy. In KDD, 2008.
    • (2008) KDD
    • Ganta, S.R.1    Kasiviswanathan, S.P.2    Smith, A.3
  • 13
  • 14
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    • Mechanism design via differential privacy
    • Frank McSherry and Kunal Talwar. Mechanism design via differential privacy. In FOCS, 2007.
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    • Mcsherry, F.1    Talwar, K.2
  • 16
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    • Smooth sensitivity and sampling in private data analysis
    • Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith. Smooth sensitivity and sampling in private data analysis. In STOC, 2007.
    • (2007) STOC
    • Nissim, K.1    Raskhodnikova, S.2    Smith, A.3
  • 22
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    • Privacy-preserving statistical estimation with optimal convergence rates
    • Adam Smith. Privacy-preserving statistical estimation with optimal convergence rates. In STOC, 2011.
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    • Smith, A.1
  • 23
    • 84866513981 scopus 로고    scopus 로고
    • L 0-norm minimization for basis selection
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    • Wipf, D.1    Rao, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.