Inference Risk

Inference Risk is a type of privacy risk that arises when sensitive information is deduced from observable data through analytical or machine learning methods, potentially compromising individual confidentiality despite the absence of direct data exposure.

10

Publications

263

Citations

32

Authors

18

Institutions

Publications per year

2017–2026

6

Authors

32

  1. RD
    Richard DeLoach

    Langley Research Center, United States

    2 publications · 75 citations

    2

    h-index

  2. AS
    Anshuman Suri

    University of Virginia, United States

    2 publications · 59 citations

    2

    h-index

  3. YL
    Yi Liang

    Temple University, United States

    1 publications · 20 citations

    1

    h-index

  4. ST
    Shruti Tople

    Microsoft Research (United Kingdom), United Kingdom

    1 publications · 28 citations

    1

    h-index

  5. AS
    Aruna Seneviratne

    UNSW Sydney, Australia

    1 publications · 21 citations

    1

    h-index

1–5 of 32

Venues

  1. 1

    h-index

  2. 1

    h-index

  3. 38th Aerospace Sciences Meeting and Exhibit

    1 publications · 63 citations

    1

    h-index

  4. Proceedings on Privacy Enhancing Technologies

    PoPETs · 1 publications · 31 citations

    1

    h-index

  5. Global Privacy Law Review

    1 publications · 31 citations

    1

    h-index

1–5