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Privacy-Preserving Machine Learning
book

Privacy-Preserving Machine Learning

by Di Zhuang, Dumindu Samaraweera, Morris Chang
May 2023
Intermediate to advanced content levelIntermediate to advanced
336 pages
10h 3m
English
Manning Publications
Content preview from Privacy-Preserving Machine Learning

7 Privacy-preserving data mining techniques

This chapter covers

  • The importance of privacy preservation in data mining
  • Privacy protection mechanisms for processing and publishing data
  • Exploring privacy-enhancing techniques for data mining
  • Implementing privacy techniques in data mining with Python

So far we have discussed different privacy-enhancing technologies that the research community and the industry have partnered together on. This chapter focuses on how these privacy techniques can be utilized for data mining and management operations. In essence, data mining is the process of discovering new relationships and patterns in data to achieve further meaningful analysis. This usually involves machine learning, statistical operations, and data ...

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Publisher Resources

ISBN: 9781617298042Supplemental ContentPublisher SupportOtherPublisher WebsiteSupplemental ContentPurchase Link