Concepedia

Differentially Private Machine Learning

Differentially Private Machine Learning is a machine learning methodology that incorporates differential privacy mechanisms to ensure that the model’s output does not reveal sensitive information about individual data points in the training dataset, thereby providing rigorous privacy guarantees during the learning process.

853

Publications

62.4K

Citations

2.3K

Authors

649

Institutions

Publications per year

2017–2026

728

Variants

Dpml

Parents

Publications

853

Deep Learning with Differential Privacy

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

, , +14

The Algorithmic Foundations of Differential Privacy

Cynthia Dwork, Aaron Roth · Foundations and Trends® in Theoretical Computer Science · 2014 · 4.2K citations

, , +11

Federated Learning With Differential Privacy: Algorithms and Performance Analysis

Kang Wei, Jun Li, Ming Ding et al. · IEEE Transactions on Information Forensics and Security · 2020 · 2.2K citations · Full text

, , +17

What Can We Learn Privately?

Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim et al. · SIAM Journal on Computing · 2011 · 900 citations

, , +14

Differentially Private Empirical Risk Minimization.

Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate · PubMed · 2011 · 865 citations · Full text

, , +16

1–5 of 853

Authors

2.3K

  1. AT
    Abhradeep Thakurta

    Google (United States), United States

    25 publications · 1.9K citations

    20

    h-index

  2. MD
    Ming Ding

    Data61, Australia

    13 publications · 3.1K citations

    12

    h-index

  3. KC
    Kamalika Chaudhuri

    University of California San Diego, United States

    14 publications · 2.6K citations

    12

    h-index

  4. NP
    Nicolas Papernot

    University of Toronto, Canada

    12 publications · 987 citations

    12

    h-index

  5. LL
    Lingjuan Lyu

    Sony Computer Science Laboratories, Japan

    11 publications · 883 citations

    11

    h-index

1–5 of 2.3K

Institutions

649

  1. Google (United States)

    Mountain View, United States

    27 h-index

    120 publications

    42.8K citations

  2. University of California San Diego

    San Diego, United States

    20 h-index

    51 publications

    4.7K citations

  3. Data61

    Sydney, Australia

    17 h-index

    36 publications

    8.1K citations

  4. University of Technology Sydney

    Sydney, Australia

    17 h-index

    42 publications

    3K citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    17 h-index

    45 publications

    2.2K citations

  6. Commonwealth Scientific and Industrial Research Organisation

    Canberra, Australia

    15 h-index

    33 publications

    7.9K citations

  7. Georgia Institute of Technology

    Atlanta, United States

    15 h-index

    37 publications

    4.5K citations

  8. Xidian University

    Xi'an, China

    15 h-index

    55 publications

    2.4K citations

1–8 of 649

Venues

  1. arXiv (Cornell University)

    Repository · 193 publications · 10K citations

    50

    h-index

  2. 18

    h-index

  3. Computers & Security

    18 publications · 671 citations

    15

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 18 publications · 1.1K citations

    14

    h-index

  5. IEEE Internet of Things Journal

    15 publications · 1.4K citations

    14

    h-index

1–5