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Volumn , Issue , 2012, Pages 13-18

A workflow for differentially-private graph synthesis

Author keywords

differential privacy; graphs; privacy; social networks

Indexed keywords

DEGREE DISTRIBUTIONS; DIFFERENTIAL PRIVACIES; GRAPH STATISTICS; GRAPH TOPOLOGY; GRAPHS; INCREMENTAL EVALUATORS; MARKOV CHAIN MONTE CARLO; SOCIAL NETWORKS; STATISTIC OF INTEREST; SYNTHETIC GRAPHS; WEIGHTED SET;

EID: 84866615978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2342549.2342553     Document Type: Conference Paper
Times cited : (48)

References (14)
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    • Dwork, C.1    McSherry, F.2    Nissim, K.3    Smith, A.4
  • 3
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    • dec.
    • M. Hay, Chao Li, G. Miklau, and D. Jensen. Accurate estimation of the degree distribution of private networks. In IEEE ICDM '09, pages 169 -178, dec. 2009.
    • (2009) IEEE ICDM '09 , pp. 169-178
    • Hay, M.1    Li, C.2    Miklau, G.3    Jensen, D.4
  • 4
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    • Tutorial on privacy-aware data management in information networks
    • Michael Hay, Kun Liu, Gerome Miklau, Jian Pei, and Evimaria Terzi. Tutorial on privacy-aware data management in information networks. Proc. SIGMOD'11, 2011.
    • (2011) Proc. SIGMOD'11
    • Hay, M.1    Liu, K.2    Miklau, G.3    Pei, J.4    Terzi, E.5
  • 6
    • 70450171127 scopus 로고    scopus 로고
    • Isotone optimization in r: Pool-adjacent-violators algorithm (pava) and active set methods
    • Jan De Leeuw, K. Hornik, and P. Mair. Isotone optimization in r: Pool-adjacent-violators algorithm (pava) and active set methods. Journal of statistical software, 32(5), 2009.
    • (2009) Journal of Statistical Software , vol.32 , Issue.5
    • De Leeuw, J.1    Hornik, K.2    Mair, P.3
  • 7
    • 34248205060 scopus 로고    scopus 로고
    • Graph evolution: Densification and shrinking diameters
    • J. Leskovec, J. Kleinberg, and C. Faloutsos. Graph evolution: Densification and shrinking diameters. ACM Trans. KDD, 1(1), 2007.
    • (2007) ACM Trans. KDD , vol.1 , Issue.1
    • Leskovec, J.1    Kleinberg, J.2    Faloutsos, C.3
  • 8
    • 70849116921 scopus 로고    scopus 로고
    • Privacy integrated queries: An extensible platform for privacy-preserving data analysis
    • Frank D. McSherry. Privacy integrated queries: an extensible platform for privacy-preserving data analysis. In Proc. SIGMOD '09, pages 19-30, 2009.
    • (2009) Proc. SIGMOD '09 , pp. 19-30
    • McSherry, F.D.1
  • 9
    • 35448955271 scopus 로고    scopus 로고
    • Smooth sensitivity and sampling in private data analysis
    • Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith. Smooth sensitivity and sampling in private data analysis. In ACM STOC '07, pages 75-84, 2007.
    • (2007) ACM STOC '07 , pp. 75-84
    • Nissim, K.1    Raskhodnikova, S.2    Smith, A.3
  • 11
    • 84866597543 scopus 로고    scopus 로고
    • Relationship privacy: Output perturbation for queries with joins
    • Vibhor Rastogi, Michael Hay, Gerome Miklau, and Dan Suciu. Relationship privacy: output perturbation for queries with joins. In Proc. PODS '09, 2009.
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    • Rastogi, V.1    Hay, M.2    Miklau, G.3    Suciu, D.4
  • 13
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    • Sharing graphs using differentially private graph models
    • Alessandra Sala, Xiaohan Zhao, Christo Wilson, Haitao Zheng, and Ben Y. Zhao. Sharing graphs using differentially private graph models. In IMC, 2011.
    • (2011) IMC
    • Sala, A.1    Zhao, X.2    Wilson, C.3    Zheng, H.4    Zhao, B.Y.5
  • 14
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    • Probabilistic inference and differential privacy
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.