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Surveillance / Public safety / Biometrics / Head and neck / Automatic identification and data capture / Facial recognition system / Face / Closed-circuit television / Internet privacy / Face recognition / Security / National security


E. Newton, L. Sweeney, and B. Malin. Preserving Privacy by De-identifying Facial Images, Carnegie Mellon University, School of Computer Science, Technical Report, CMU-CSPittsburgh: MarchPreserving Privacy
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Document Date: 2013-10-01 06:58:36

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File Size: 281,06 KB

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City

Pittsburgh / Houston / Tampa / New York City / Virginia Beach / /

Company

Face Recognition Software / /

Country

United States / /

Facility

Times Square / Computer Science Carnegie Mellon University / Carnegie Mellon University / /

IndustryTerm

considered pre-processing / case law / privacy-preserving data mining / privacy-enabling algorithm / trivial solution / visual search / recognition software / data mining / law enforcement / pre-processing / pre-processing phase / /

MarketIndex

SET 100 / /

Organization

School of Computer Science / Defense Advanced Research Projects Agency / School of Computer Science Carnegie Mellon University Pittsburgh / Carnegie Mellon University / Laboratory for International Data Privacy / Army / Naval Sea Systems Command / /

Person

John Smith / /

Position

guard / privacy guard / /

ProvinceOrState

Virginia / Pennsylvania / Florida / /

Technology

privacy-enabling algorithm / k-Same algorithm / data mining / /

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