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Volumn 6, Issue 14, 2013, Pages 1954-1965

Understanding hierarchical methods for differentially private histograms

Author keywords

[No Author keywords available]

Indexed keywords

BUDGET CONTROL; GRAPHIC METHODS; MEAN SQUARE ERROR; TREES (MATHEMATICS);

EID: 84891103742     PISSN: None     EISSN: 21508097     Source Type: Journal    
DOI: 10.14778/2556549.2556576     Document Type: Article
Times cited : (179)

References (24)
  • 1
    • 35448955720 scopus 로고    scopus 로고
    • Privacy, accuracy, and consistency too: a holistic solution to contingency table release
    • B. Barak, K. Chaudhuri, C. Dwork, S. Kale, F. McSherry, and K. Talwar. Privacy, accuracy, and consistency too: a holistic solution to contingency table release. In PODS'07, pages 273-282, 2007.
    • (2007) In PODS'07 , 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
    • A. Blum, C. Dwork, F. McSherry, and K. Nissim. Practical privacy: the SuLQ framework. In PODS, pages 128-138, 2005.
    • (2005) In 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
    • A. Blum, K. Ligett, and A. Roth. A learning theory approach to non-interactive database privacy. In STOC, pages 609-618, 2008.
    • (2008) In STOC , pp. 609-618
    • Blum, A.1    Ligett, K.2    Roth, A.3
  • 4
    • 84855245645 scopus 로고    scopus 로고
    • Private and continual release of statistics
    • 26:1-26:24 Nov
    • T.-H. H. Chan, E. Shi, and D. Song. Private and continual release of statistics. ACM Trans. Inf. Syst. Secur., 14(3):26:1-26:24, Nov. 2011.
    • (2011) ACM Trans. Inf. Syst. Secur. , vol.14 , Issue.3
    • Chan, T.-H.1    Shi, E.2    Song, D.3
  • 6
    • 79959954388 scopus 로고    scopus 로고
    • Differentially private data cubes: optimizing noise sources and consistency
    • B. Ding, M. Winslett, J. Han, and Z. Li. Differentially private data cubes: optimizing noise sources and consistency. In SIGMOD, pages 217-228, 2011.
    • (2011) In SIGMOD , pp. 217-228
    • Ding, B.1    Winslett, M.2    Han, J.3    Li, Z.4
  • 7
    • 1142275486 scopus 로고    scopus 로고
    • Revealing information while preserving privacy
    • I. Dinur and K. Nissim. Revealing information while preserving privacy. In PODS, pages 202-210, 2003.
    • (2003) In PODS , pp. 202-210
    • Dinur, I.1    Nissim, K.2
  • 8
    • 33746335051 scopus 로고    scopus 로고
    • Differential privacy
    • C. Dwork. Differential privacy. In ICALP, pages 1-12, 2006.
    • (2006) In ICALP , pp. 1-12
    • Dwork, C.1
  • 9
    • 33745556605 scopus 로고    scopus 로고
    • Calibrating noise to sensitivity in private data analysis
    • Springer
    • C. Dwork, F. Mcsherry, K. Nissim, and A. Smith. Calibrating noise to sensitivity in private data analysis. In TCC, pages 265-284. Springer, 2006.
    • (2006) In TCC , pp. 265-284
    • Dwork, C.1    Mcsherry, F.2    Nissim, K.3    Smith, A.4
  • 10
    • 35048856104 scopus 로고    scopus 로고
    • Privacy-preserving datamining on vertically partitioned databases
    • Springer
    • C. Dwork and K. Nissim. Privacy-preserving datamining on vertically partitioned databases. In In CRYPTO, pages 528-544. Springer, 2004.
    • (2004) In In CRYPTO , pp. 528-544
    • Dwork, C.1    Nissim, K.2
  • 11
    • 77956195013 scopus 로고    scopus 로고
    • Data mining with differential privacy
    • New York NY USA ACM
    • A. Friedman and A. Schuster. Data mining with differential privacy. In KDD '10, pages 493-502, New York, NY, USA, 2010. ACM.
    • (2010) In KDD '10 , pp. 493-502
    • Friedman, A.1    Schuster, A.2
  • 13
    • 77954711905 scopus 로고    scopus 로고
    • On the geometry of differential privacy
    • New York NY USA ACM
    • M. Hardt and K. Talwar. On the geometry of differential privacy. STOC '10, pages 705-714, New York, NY, USA, 2010. ACM.
    • (2010) STOC '10 , pp. 705-714
    • Hardt, M.1    Talwar, K.2
  • 14
    • 78650518102 scopus 로고    scopus 로고
    • Boosting the accuracy of differentially private histograms through consistency
    • September
    • M. Hay, V. Rastogi, G. Miklau, and D. Suciu. Boosting the accuracy of differentially private histograms through consistency. PVLDB, 3:1021-1032, September 2010.
    • (2010) PVLDB , vol.3 , pp. 1021-1032
    • Hay, M.1    Rastogi, V.2    Miklau, G.3    Suciu, D.4
  • 15
    • 77954715960 scopus 로고    scopus 로고
    • Optimizing linear counting queries under differential privacy
    • ACM
    • C. Li, M. Hay, V. Rastogi, G. Miklau, and A. McGregor. Optimizing linear counting queries under differential privacy. PODS '10, pages 123-134. ACM, 2010.
    • (2010) PODS '10 , pp. 123-134
    • Li, C.1    Hay, M.2    Rastogi, V.3    Miklau, G.4    McGregor, A.5
  • 16
    • 84863733988 scopus 로고    scopus 로고
    • An adaptive mechanism for accurate query answering under differential privacy
    • Feb
    • C. Li and G. Miklau. An adaptive mechanism for accurate query answering under differential privacy. Proc. VLDB Endow., 5(6):514-525, Feb. 2012.
    • (2012) Proc. VLDB Endow. , vol.5 , Issue.6 , pp. 514-525
    • Li, C.1    Miklau, G.2
  • 18
    • 84871946312 scopus 로고    scopus 로고
    • Recursive partitioning and summarization: A practical framework for differential private data publishing
    • W. Qardaji and N. Li. Recursive partitioning and summarization: A practical framework for differential private data publishing. In ASIACCS, 2012.
    • (2012) In ASIACCS
    • Qardaji, W.1    Li, N.2
  • 19
    • 84891048515 scopus 로고    scopus 로고
    • Differentially private grids for geospatial data
    • arXiv:1209 1322 [cs. CR] To appear in ICDE 2013
    • W. Qardaji, W. Yang, and N. Li. Differentially private grids for geospatial data, 2012. arXiv:1209.1322 [cs.CR] To appear in ICDE 2013.
    • (2012)
    • Qardaji, W.1    Yang, W.2    Li, N.3
  • 22
    • 78649814930 scopus 로고    scopus 로고
    • Differentially private data release through multidimensional partitioning
    • Y. Xiao, L. Xiong, and C. Yuan. Differentially private data release through multidimensional partitioning. In Secure Data Management, pages 150-168, 2010.
    • (2010) In Secure Data Management , pp. 150-168
    • Xiao, Y.1    Xiong, L.2    Yuan, C.3
  • 24
    • 84872862526 scopus 로고    scopus 로고
    • Low-rank mechanism: optimizing batch queries under differential privacy
    • July
    • G. Yuan, Z. Zhang, M. Winslett, X. Xiao, Y. Yang, and Z. Hao. Low-rank mechanism: optimizing batch queries under differential privacy. Proc. VLDB Endow., 5(11):1352-1363, July 2012.
    • (2012) Proc. VLDB Endow. , vol.5 , Issue.11 , pp. 1352-1363
    • Yuan, G.1    Zhang, Z.2    Winslett, M.3    Xiao, X.4    Yang, Y.5    Hao, Z.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.