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Volumn , Issue , 2012, Pages 206-210

Differentially-private learning and information theory

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FRAMEWORKS; DIFFERENTIAL PRIVACIES; EXPECTED RISK; LEARNING THEORY; MUTUAL INFORMATIONS;

EID: 84864129309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2320765.2320823     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 1
    • 84857745356 scopus 로고    scopus 로고
    • Quantitative information flow and applications to differential privacy
    • M. S. Alvim, M. E. Andrés, K. Chatzikokolakis, and C. Palamidessi. Quantitative information flow and applications to differential privacy. In FOSAD, pages 211-230, 2010.
    • (2010) FOSAD , pp. 211-230
    • Alvim, M.S.1    Andrés, M.E.2    Chatzikokolakis, K.3    Palamidessi, C.4
  • 2
    • 79960008635 scopus 로고    scopus 로고
    • On the relation between differential privacy and quantitative information flow
    • M. S. Alvim, M. E. Andrés, K. Chatzikokolakis, and C. Palamidessi. On the relation between differential privacy and quantitative information flow. In ICALP (2), pages 60-76, 2011.
    • (2011) ICALP , Issue.2 , pp. 60-76
    • Alvim, M.S.1    Andrés, M.E.2    Chatzikokolakis, K.3    Palamidessi, C.4
  • 4
    • 78049358617 scopus 로고    scopus 로고
    • Pac-bayesian supervised classification: The thermodynamics of statistical learning
    • O. Catoni. Pac-bayesian supervised classification: The thermodynamics of statistical learning. Monograph series of the Institute of Mathematical Statistics, 2007. http://arxiv.org/abs/0712.0248.
    • (2007) Monograph Series of the Institute of Mathematical Statistics
    • Catoni, O.1
  • 5
    • 84858769465 scopus 로고    scopus 로고
    • Privacy-preserving logistic regression
    • K. Chaudhuri and C. Monteleoni. Privacy-preserving logistic regression. In NIPS, pages 289-296, 2008.
    • (2008) NIPS , pp. 289-296
    • Chaudhuri, K.1    Monteleoni, C.2
  • 12
    • 33645722194 scopus 로고    scopus 로고
    • Information-theoretic upper and lower bounds for statistical estimation
    • T. Zhang. Information-theoretic upper and lower bounds for statistical estimation. IEEE Transactions on Information Theory, 52(4):1307-1321, 2006.
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.4 , pp. 1307-1321
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.