Legal Issues of Differential Privacy:Practical Use in U.S. Census

DOI
  • Konishi Yoko
    高知大学教育研究部人文社会科学系教育学部門　助教
  • Shibaike Ryoya
    京都大学大学院法学研究科法政理論専攻博士後期課程
  • Zheng Shuyuan
    大阪大学大学院情報科学研究科　特任助教
  • Cao Yang
    北海道大学大学院情報科学研究科　准教授
  • Yoshikawa Masatoshi
    大阪成蹊大学データサイエンス学部　教授

Bibliographic Information

Other Title
  • 差分プライバシー技術の法的課題—米国国勢調査における実用化を素材として—

Abstract

<p>This paper shows the result of our research by legal and information technology researchers about the legal issues when we use Differential Privacy (DP) practically.</p><p>The result responds to the social request to ensure the balance between the advanced use of data and the protection of personal information.</p><p>DP is the criterion for quantitative evaluation for the safety of technics to protect privacy. It adopts a method to add noise to the query result to protect data against attacks.</p><p>The degree of protection of privacy by DP depends on probabilistic parameters, such as ε, so it might be challenging to evaluate DP from a legal perspective. However, we can reveal the legal meaning of protecting privacy by DP by examining its significance and limitation.</p><p>We work on the issue of Transparency, which we need when to use advanced technics by examining the actual suit around the use of DP in the U.S. Census 2020 or connecting the Japanese legal situation.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390579631599892224
  • DOI
    10.34374/inlaw.22.0_1
  • ISSN
    24350303
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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