The power of linear reconstruction attacks

Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms

Volumn , Issue , 2013, Pages 1415-1433

  Kasiviswanathan, Shiva Prasad ^a   Rudelson, Mark ^b   Smith, Adam ^c  

^a GE GLOBAL RESEARCH   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PRIVACY; DATABASE SYSTEMS; DECISION TREES; POLYNOMIAL APPROXIMATION;

EMPIRICAL RISK MINIMIZATION; LINEAR RECONSTRUCTION; LOGISTIC REGRESSIONS; NONLINEAR FORMULATION; RECONSTRUCTION ALGORITHMS; SENSITIVE ATTRIBUTE; SENSITIVE INFORMATIONS; STATISTICAL DATAS;

BOOLEAN FUNCTIONS;

EID: 84876061488     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611973105.102     Document Type: Conference Paper

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