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Volumn , Issue , 2011, Pages 1253-1261

Personal privacy vs population privacy: Learning to attack anonymization

Author keywords

Anonymization; Differential privacy

Indexed keywords

ANONYMIZATION; DIFFERENTIAL PRIVACIES; K-ANONYMITY; L DIVERSITIES; PERSONAL PRIVACY; PRIVATE DATA; PRIVATE INFORMATION;

EID: 80052688705     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020408.2020598     Document Type: Conference Paper
Times cited : (93)

References (22)
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  • 5
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    • Dalenius, T.1
  • 8
    • 77956195013 scopus 로고    scopus 로고
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    • Friedman, A.1    Schuster, A.2
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    • 65449162734 scopus 로고    scopus 로고
    • Omposition attacks and auxiliary information in data privacy
    • C
    • S. R. Ganta, S. P. Kasiviswanathan, and A. Smith. Composition attacks and auxiliary information in data privacy. In ACM SIGKDD, 2008.
    • (2008) ACM SIGKDD
    • Ganta, S.R.1    Kasiviswanathan, S.P.2    Smith, A.3
  • 11
    • 38749142809 scopus 로고    scopus 로고
    • Revisiting the uniqueness of simple demographics in the us population
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    • (2006) Workshop on Privacy in the Electronic Society
    • Golle, P.1
  • 18
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    • Differentially private recommender systems: Building privacy into the netflix prize contenders
    • F. McSherry and I. Mironov. Differentially private recommender systems: Building privacy into the netflix prize contenders. In ACM SIGKDD, 2009.
    • (2009) ACM SIGKDD
    • McSherry, F.1    Mironov, I.2
  • 19
    • 0003483188 scopus 로고    scopus 로고
    • Protecting privacy when disclosing information: K-anonymity and its enforcement through generalization and suppression
    • P. Samarati and L. Sweeney. Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression. Technical Report SRI-CSL-98-04, SRI, 1998.
    • (1998) Technical Report SRI-CSL-98-04, SRI
    • Samarati, P.1    Sweeney, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.