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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

8 Privacy-preserving data management and operations

This chapter covers

  • Widely used privacy models for data publishing
  • Privacy threats and vulnerabilities in database systems
  • Discovering privacy protection strategies in database management systems
  • Database design considerations for implementing a privacy-preserving database system

In the previous chapter we discussed different privacy-enhancing techniques that can be utilized in data mining operations and how to implement the k-anonymity privacy model. In this chapter we’ll explore another set of privacy models that the research community has proposed to mitigate the flaws in the k-anonymity model. Toward the end of this chapter, we’ll discuss the recent evolution of data management techniques, ...

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Publisher Resources

ISBN: 9781617298042Supplemental ContentPublisher SupportOtherPublisher WebsiteSupplemental ContentPurchase Link