Privacy Leakage

Privacy Leakage is a critical phenomenon in database privacy that denotes the unintended disclosure of sensitive information through inferable data patterns, distinguishing it from direct data breaches by arising from legitimate query responses or data releases that indirectly expose private attributes.

872

Publications

48.7K

Citations

2.9K

Authors

734

Institutions

Publications per year

2017–2026

675

Authors

2.9K

  1. XL
    Ximeng Liu

    Fuzhou University, China

    15 publications · 1.1K citations

    14

    h-index

  2. RH
    Robert H. Deng

    Singapore Management University, Singapore

    15 publications · 1.1K citations

    14

    h-index

  3. ZW
    Zhibo Wang

    Wuhan University, China

    14 publications · 2.1K citations

    14

    h-index

  4. KR
    Kim‐Kwang Raymond Choo

    The University of Texas at San Antonio, United States

    13 publications · 1.2K citations

    13

    h-index

  5. XS
    Xuemin Shen

    University of Waterloo, Canada

    13 publications · 1.1K citations

    12

    h-index

1–5 of 2.9K

Venues

  1. IEEE Internet of Things Journal

    55 publications · 3.7K citations

    34

    h-index

  2. IEEE Transactions on Industrial Informatics

    27 publications · 3K citations

    24

    h-index

  3. 23

    h-index

  4. IEEE Access

    40 publications · 2K citations

    22

    h-index

  5. arXiv (Cornell University)

    Repository · 45 publications · 1.5K citations

    22

    h-index

1–5