Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction to Privacy-preserving Computing
- 2 Secret Sharing
- 3 Homomorphic Encryption
- 4 Oblivious Transfer
- 5 Oblivious Transfer
- 6 Differential Privacy
- 7 Trusted Execution Environment
- 8 Federated Learning
- 9 Privacy-preserving Computing Platforms
- 10 Case Studies of Privacy-preserving Computing
- 11 Future of Privacy-preserving Computing
- References
- Index
10 - Case Studies of Privacy-preserving Computing
Published online by Cambridge University Press: 26 October 2023
Book contents
- Frontmatter
- Contents
- Preface
- 1 Introduction to Privacy-preserving Computing
- 2 Secret Sharing
- 3 Homomorphic Encryption
- 4 Oblivious Transfer
- 5 Oblivious Transfer
- 6 Differential Privacy
- 7 Trusted Execution Environment
- 8 Federated Learning
- 9 Privacy-preserving Computing Platforms
- 10 Case Studies of Privacy-preserving Computing
- 11 Future of Privacy-preserving Computing
- References
- Index
Summary
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- Chapter
- Information
- Privacy-preserving Computingfor Big Data Analytics and AI, pp. 194 - 232Publisher: Cambridge University PressPrint publication year: 2023