9 Compressive privacy for machine learning
This chapter covers
- Understanding compressive privacy
- Introducing compressive privacy for machine learning applications
- Implementing compressive privacy from theory to practice
- A compressive privacy solution for privacy-preserving machine learning
In previous chapters we’ve looked into differential privacy, local differential privacy, privacy-preserving synthetic data generation, privacy-preserving data mining, and their application when designing privacy-preserving machine learning solutions. As you’ll recall, in differential privacy a trusted data curator collects data from individuals and produces differentially private results by adding precisely computed noise to the aggregation of individuals’ ...
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