Concepedia

Privacy-preserving Machine Learning

Privacy-Preserving Machine Learning is a machine learning paradigm that enables the training and inference of models on distributed or centralized data while rigorously protecting individual data privacy through cryptographic, statistical, or algorithmic safeguards.

2.7K

Publications

193.5K

Citations

7.6K

Authors

1.7K

Institutions

Publications per year

2017–2026

2.4K

Parents

Publications

2.7K

Deep Learning with Differential Privacy

Martı́n Abadi, Andy Chu, Ian Goodfellow et al. · 2016 · 5.9K citations · Full text

, , +14

Membership Inference Attacks Against Machine Learning Models

Reza Shokri, Marco Stronati, Congzheng Song et al. · 2017 · 4.2K citations

, , +17

Practical Secure Aggregation for Privacy-Preserving Machine Learning

Keith Bonawitz, Vladimir Ivanov, Ben Kreuter et al. · 2017 · 3.4K citations

, , +17

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Matt Fredrikson, Somesh Jha, Thomas Ristenpart · 2015 · 2.8K citations · Full text

, , +15

Privacy-Preserving Deep Learning

Reza Shokri, Vitaly Shmatikov · 2015 · 2.3K citations

, , +15

1–5 of 2.7K

Authors

7.6K

  1. XL
    Ximeng Liu

    Fuzhou University, China

    26 publications · 1.7K citations

    22

    h-index

  2. QY
    Qiang Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    26 publications · 2.9K citations

    22

    h-index

  3. HL
    Hongwei Li

    University of Electronic Science and Technology of China, China

    22 publications · 2.4K citations

    19

    h-index

  4. LL
    Lingjuan Lyu

    Sony Computer Science Laboratories, Japan

    23 publications · 2.5K citations

    19

    h-index

  5. NP
    Nicolas Papernot

    University of Toronto, Canada

    20 publications · 2.7K citations

    18

    h-index

1–5 of 7.6K

Institutions

1.7K

  1. Xidian University

    Xi'an, China

    38 h-index

    245 publications

    14.7K citations

  2. Nanyang Technological University

    Singapore, Singapore

    36 h-index

    148 publications

    15.7K citations

  3. University of California San Diego

    San Diego, United States

    34 h-index

    136 publications

    10.4K citations

  4. Google (United States)

    Mountain View, United States

    34 h-index

    211 publications

    81.5K citations

  5. Tsinghua University

    Beijing, China

    29 h-index

    114 publications

    8.7K citations

  6. University of Electronic Science and Technology of China

    Chengdu, China

    29 h-index

    144 publications

    10.8K citations

  7. University of Technology Sydney

    Sydney, Australia

    28 h-index

    76 publications

    5.8K citations

  8. National University of Singapore

    Singapore, Singapore

    27 h-index

    75 publications

    7.7K citations

1–8 of 1.7K

Venues

  1. arXiv (Cornell University)

    Repository · 396 publications · 18.7K citations

    64

    h-index

  2. IEEE Access

    97 publications · 6.2K citations

    44

    h-index

  3. IEEE Internet of Things Journal

    76 publications · 7.2K citations

    42

    h-index

  4. 39

    h-index

  5. IEEE Transactions on Industrial Informatics

    34 publications · 4.7K citations

    30

    h-index

1–5