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Informatik Spektrum

, Volume 42, Issue 5, pp 356–357 | Cite as

A Hybrid Approach to Privacy-Preserving Federated Learning

(Extended Abstract)
  • Stacey TruexEmail author
  • Nathalie Baracaldo
  • Ali Anwar
  • Thomas Steinke
  • Heiko Ludwig
  • Rui Zhang
  • Yi Zhou
HAUPTBEITRAG PRIVACY-PRESERVING FEDERATED LEARNING

References

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    NBC News (2018) Yahoo to pay $50 million, offer credit monitoring for massive security breach. https://www.nbcnews.com/tech/tech-news/yahoo-pay-50m-offer-credit-monitoring-massive-security-breach-n923531Google Scholar
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    Paillier P (1999) Public-key cryptosystems based on composite degree residuosity classes. In: International Conference on the Theory and Applications of Cryptographic Techniques. Springer, pp 223–238Google Scholar
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    Shokri R, Stronati M, Song C, Shmatikov V (2017) Membership inference attacks against machine learning models. In: Security and Privacy (SP), IEEE Symposium. IEEE, pp 3–18Google Scholar

Copyright information

© Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature 2019

Authors and Affiliations

  • Stacey Truex
    • 1
    Email author
  • Nathalie Baracaldo
    • 2
  • Ali Anwar
    • 2
  • Thomas Steinke
    • 2
  • Heiko Ludwig
    • 2
  • Rui Zhang
    • 2
  • Yi Zhou
    • 2
  1. 1.Georgia TechAtlantaUSA
  2. 2.IBM Research – AlmadenSan JoseUSA

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