Inference Attacks

Inference Attack is a type of privacy threat in which an adversary deduces sensitive, private information from indirect observations or seemingly innocuous data through analytical or machine learning techniques.

426

Publications

31.3K

Citations

1.2K

Authors

435

Institutions

Publications per year

2017–2026

346

Authors

1.2K

  1. RS
    Reza Shokri

    National University of Singapore, Singapore

    14 publications · 3.5K citations

    13

    h-index

  2. MB
    Michael Backes

    Saarland University, Germany

    11 publications · 725 citations

    12

    h-index

  3. ED
    Emiliano De Cristofaro

    University College London, United Kingdom

    11 publications · 795 citations

    11

    h-index

  4. NZ
    Neil Zhenqiang Gong

    Duke University, United States

    9 publications · 797 citations

    10

    h-index

  5. FT
    Florian Tramèr

    Stanford University, United States

    8 publications · 1.4K citations

    8

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 72 publications · 3.4K citations

    28

    h-index

  2. IEEE Transactions on Dependable and Secure Computing

    TDSC · 13 publications · 1K citations

    12

    h-index

  3. 12

    h-index

  4. IEEE Internet of Things Journal

    11 publications · 565 citations

    11

    h-index

  5. Proceedings on Privacy Enhancing Technologies

    PoPETs · 7 publications · 716 citations

    8

    h-index

1–5