Security and Privacy in Federated Learning [E-Book] / by Shui Yu, Lei Cui.
In this book, the authors highlight the latest research findings on the security and privacy of federated learning systems. The main attacks and counterattacks in this booming field are presented to readers in connection with inference, poisoning, generative adversarial networks, differential privac...
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Full text |
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Personal Name(s): | Yu, Shui, author |
Cui, Lei, author | |
Edition: |
1st edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
XII, 133 pages 1 illustration (online resource) |
Note: |
englisch |
ISBN: |
9789811986925 |
DOI: |
10.1007/978-981-19-8692-5 |
Series Title: |
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Digital Privacy and Security
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Subject (LOC): |
- Chapter 1. Introduction of Federated Learning
- Chapter 2. Inference Attacks and Counter Attacks in Federated Learning
- Chapter 3. Poisoning Attacks and Counter Attacks in Federated Learning
- Chapter 4. GAN Attacks and Counter Attacks in Federated Learning
- Chapter 5. Differential Privacy in Federated Learning
- Chapter 6. Secure Multi-Party Computation in Federated Learning
- Chapter 7. Secure Data Aggregation in Federated Learning
- Chapter 8. Anonymous Communication and Shuffle Model in Federated Learning
- Chapter 9. The Future Work.