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Volumn 61, Issue 6, 2014, Pages 1-57

Privacy aware learning

Author keywords

Differential privacy; Lower bounds; Machine learning; Minimax convergence rates; Saddle points

Indexed keywords

ESTIMATION; LEARNING SYSTEMS;

EID: 84919772168     PISSN: 00045411     EISSN: 1557735X     Source Type: Journal    
DOI: 10.1145/2666468     Document Type: Article
Times cited : (153)

References (53)
  • 1
    • 84860244324 scopus 로고    scopus 로고
    • Information-theoretic lower bounds on the oracle complexity of convex optimization
    • A. Agarwal, P. L. Bartlett, P. Ravikumar, and M. J. Wainwright. 2012. Information-theoretic lower bounds on the oracle complexity of convex optimization. IEEE Trans. Inf. Theory 58, 5, 3235-3249.
    • (2012) IEEE Trans. Inf. Theory , vol.58 , Issue.5 , pp. 3235-3249
    • Agarwal, A.1    Bartlett, P.L.2    Ravikumar, P.3    Wainwright, M.J.4
  • 2
    • 0037403111 scopus 로고    scopus 로고
    • Mirror descent and nonlinear projected subgradient methods for convex optimization
    • A. Beck and M. Teboulle. 2003. Mirror descent and nonlinear projected subgradient methods for convex optimization. Oper. Res. Lett. 31, 167-175.
    • (2003) Oper. Res. Lett. , vol.31 , pp. 167-175
    • Beck, A.1    Teboulle, M.2
  • 9
    • 79960972282 scopus 로고    scopus 로고
    • Risk-utility paradigms for statistical disclosure limitation: How to think, but not how to act
    • L. H. Cox, A. F. Karr, and S. K. Kinney. 2011. Risk-utility paradigms for statistical disclosure limitation: How to think, but not how to act. Int. Stat. Rev. 79, 2, 160-199.
    • (2011) Int. Stat. Rev. , vol.79 , Issue.2 , pp. 160-199
    • Cox, L.H.1    Karr, A.F.2    Kinney, S.K.3
  • 13
    • 84950825763 scopus 로고
    • Disclosure-limited data dissemination
    • G. T. Duncan and D. Lambert. 1986. Disclosure-limited data dissemination. J. Amer. Stat. Assoc. 81, 393, 10-18.
    • (1986) J. Amer. Stat. Assoc. , vol.81 , Issue.393 , pp. 10-18
    • Duncan, G.T.1    Lambert, D.2
  • 15
    • 70349305273 scopus 로고    scopus 로고
    • Differential privacy: A survey of results
    • Theory and Applications of Models of Computation, Springer
    • C. Dwork. 2008. Differential privacy: A survey of results. In Theory and Applications of Models of Computation, Lecture Notes in Computer Science Series, vol. 4978, Springer, 1-19.
    • (2008) Lecture Notes in Computer Science Series , vol.4978 , pp. 1-19
    • Dwork, C.1
  • 20
    • 0002646970 scopus 로고
    • On the question of statistical confidentiality
    • I. P. Fellegi. 1972. On the question of statistical confidentiality. J. Amer. Stat. Assoc. 67, 337, 7-18.
    • (1972) J. Amer. Stat. Assoc. , vol.67 , Issue.337 , pp. 7-18
    • Fellegi, I.P.1
  • 28
    • 33747456679 scopus 로고    scopus 로고
    • A framework for evaluating the utility of data altered to protect confidentiality
    • A. F. Karr, C. N. Kohnen, A. Oganian, J. P. Reiter, and A. P. Sanil. 2006. A framework for evaluating the utility of data altered to protect confidentiality. Amer. Statistician 60, 3, 224-232.
    • (2006) Amer. Statistician , vol.60 , Issue.3 , pp. 224-232
    • Karr, A.F.1    Kohnen, C.N.2    Oganian, A.3    Reiter, J.P.4    Sanil, A.P.5
  • 31
    • 0032202014 scopus 로고    scopus 로고
    • Efficient noise-tolerant learning from statistical queries
    • M. Kearns. 1998. Efficient noise-tolerant learning from statistical queries. J. ACM 45, 6, 983-1006.
    • (1998) J. ACM , vol.45 , Issue.6 , pp. 983-1006
    • Kearns, M.1
  • 33
    • 0001786903 scopus 로고
    • Convergence of estimates under dimensionality restrictions
    • L. Le Cam. 1973. Convergence of estimates under dimensionality restrictions. Ann. Stat. 1, 1, 38-53.
    • (1973) Ann. Stat. , vol.1 , Issue.1 , pp. 38-53
    • Le Cam, L.1
  • 35
    • 0000740544 scopus 로고
    • Uniqueness of solution in linear programming
    • O. L. Mangasarian. 1979. Uniqueness of solution in linear programming. Linear Algebra Appl. 25, 151-162.
    • (1979) Linear Algebra Appl. , vol.25 , pp. 151-162
    • Mangasarian, O.L.1
  • 36
    • 70450197241 scopus 로고    scopus 로고
    • Robust stochastic approximation approach to stochastic programming
    • A. Nemirovski, A. Juditsky, G. Lan, and A. Shapiro. 2009. Robust stochastic approximation approach to stochastic programming. SIAM J. Optimiz. 19, 4, 1574-1609.
    • (2009) SIAM J. Optimiz. , vol.19 , Issue.4 , pp. 1574-1609
    • Nemirovski, A.1    Juditsky, A.2    Lan, G.3    Shapiro, A.4
  • 40
    • 0026899240 scopus 로고
    • Acceleration of stochastic approximation by averaging
    • B. T. Polyak and A. B. Juditsky. 1992. Acceleration of stochastic approximation by averaging. SIAM J. Cont. Optimiz. 30, 4, 838-855.
    • (1992) SIAM J. Cont. Optimiz. , vol.30 , Issue.4 , pp. 838-855
    • Polyak, B.T.1    Juditsky, A.B.2
  • 41
    • 29144432870 scopus 로고    scopus 로고
    • Estimating risks of identification disclosure in microdata
    • J. P. Reiter. 2005. Estimating risks of identification disclosure in microdata. J. Amer. Stat. Assoc. 100, 1103-1113.
    • (2005) J. Amer. Stat. Assoc. , vol.100 , pp. 1103-1113
    • Reiter, J.P.1
  • 42
    • 84877781092 scopus 로고    scopus 로고
    • Learning in a large function space: Privacypreserving mechanisms for SVM learning
    • B. I. P. Rubinstein, P. L. Bartlett, L. Huang, and N. Taft. 2012. Learning in a large function space: privacypreserving mechanisms for SVM learning. J. Priv. Confident. 4, 1, 65-100.
    • (2012) J. Priv. Confident. , vol.4 , Issue.1 , pp. 65-100
    • Rubinstein, B.I.P.1    Bartlett, P.L.2    Huang, L.3    Taft, N.4
  • 46
    • 0001571745 scopus 로고
    • Contributions to the theory of statistical estimation and testing hypotheses
    • A. Wald. 1939. Contributions to the theory of statistical estimation and testing hypotheses. Ann. Math. Stat. 10, 4, 299-326.
    • (1939) Ann. Math. Stat. , vol.10 , Issue.4 , pp. 299-326
    • Wald, A.1
  • 47
    • 0013776710 scopus 로고
    • Randomized response: A survey technique for eliminating evasive answer bias
    • S. Warner. 1965. Randomized response: A survey technique for eliminating evasive answer bias. J. Amer. Stat. Assoc. 60, 309, 63-69.
    • (1965) J. Amer. Stat. Assoc. , vol.60 , Issue.309 , pp. 63-69
    • Warner, S.1
  • 48
    • 77952555772 scopus 로고    scopus 로고
    • A statistical framework for differential privacy
    • L. Wasserman and S. Zhou. 2010. A statistical framework for differential privacy. J. Amer. Stat. Assoc. 105, 489, 375-389.
    • (2010) J. Amer. Stat. Assoc. , vol.105 , Issue.489 , pp. 375-389
    • Wasserman, L.1    Zhou, S.2
  • 49
    • 0033233737 scopus 로고    scopus 로고
    • Information-theoretic determination of minimax rates of convergence
    • Y. Yang and A. Barron. 1999. Information-theoretic determination of minimax rates of convergence. Ann. Statics 27, 5, 1564-1599.
    • (1999) Ann. Statics , vol.27 , Issue.5 , pp. 1564-1599
    • Yang, Y.1    Barron, A.2
  • 50
    • 17644388356 scopus 로고    scopus 로고
    • Assouad, Fano, and Le Cam
    • Springer-Verlag
    • B. Yu. 1997. Assouad, Fano, and Le Cam. In Festschrift for Lucien Le Cam. Springer-Verlag, 423-435.
    • (1997) Festschrift for Lucien Le Cam , pp. 423-435
    • Yu, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.