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Social Security / Social Security number / Identity theft / Crime / Credit card fraud / Credit card / Personally identifiable information / Taxation in the United States / Security / Government


L. Sweeney. AI Technologies to Defeat Identity Theft Vulnerabilities. AAAI Spring Symposium on AI Technologies for Homeland Security, AI Technologies to Defeat Identity Theft Vulnerabilities Latanya Sweeney Data P
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Document Date: 2013-10-01 06:58:14

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File Size: 664,16 KB

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City

Washington / DC / New / Kayenta / /

Company

Associated Press / Google / Identity Theft Vulnerabilities Latanya Sweeney Data Privacy Laboratory / /

Country

United States / United Kingdom / /

Currency

USD / /

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Facility

Computer Science Carnegie Mellon University / Defeat Identity Theft Vulnerabilities Latanya Sweeney Data Privacy Laboratory / /

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IndustryTerm

validation server / on-line credit card application / student applications / accessible and free on-line sources / online lists / on-line resumes / credit card using on-line resumes / /

Organization

Defeat Identity Theft Vulnerabilities Latanya Sweeney Data Privacy Laboratory / American Medical Informatics Association / Federal Printing Office / Foundation for Taxpayer and Consumer Rights / Bush administration / Federal Trade Commission / Blaz Court School / Carnegie Mellon University / Pittsburgh / U.S. General Accounting Office / /

Person

Richard Allen Brown / Bush / Nicholas Lynn / Yea-Wen Yang / Sylvia Barrett / Kishore Madhava / Scot Patrick Lytle / /

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Position

Driver / editor / /

ProgrammingLanguage

Java / /

ProvinceOrState

Pennsylvania / Maryland / California / Arizona / Connecticut / /

PublishedMedium

Consumer Reports / /

Technology

AI Technologies / artificial intelligence / Java / API / search engine / /

URL

www.math.ccsu.edu/vaden-goad/resume.htm / www.aaai.org / /

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