SensorSift: Balancing sensor data privacy and utility in automated face understanding

ACM International Conference Proceeding Series

Volumn , Issue , 2012, Pages 149-158

  Enev, Miro ^a   Jung, Jaeyeon ^b   Bo, Liefeng ^a   Ren, Xiaofeng ^a   Kohno, Tadayoshi ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE; DATA SETS; FACE IMAGES; K-NEAREST NEIGHBORS; LINEAR SVM; MODERN MACHINES; MULTIPLE APPLICATIONS; POLICY COMBINATION; RANDOM FORESTS; RAW SENSOR; SENSOR APPLICATIONS;

DATA PRIVACY; DATA PROCESSING; DECISION TREES; LEARNING SYSTEMS; LINEAR TRANSFORMATIONS; METADATA; SECURITY SYSTEMS; SENSORS;

MATHEMATICAL TRANSFORMATIONS;

EID: 84872099372     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2420950.2420975     Document Type: Conference Paper

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