Privacy-Preserving Machine Learning by J. Morris Chang Di Zhuang Dumindu Samaraweera

Author:J. Morris Chang, Di Zhuang, Dumindu Samaraweera [J. Morris Chang, Di Zhuang, Dumindu Samaraweera]
Language: eng
Format: epub
Publisher: Manning Publications Co.
Published: 2023-04-20T22:00:00+00:00

Figure 6.1 The synthetic data retains the structure of the original data, but they are not the same.

Synthetic data can also be utilized in business scenarios. For instance, suppose a company wants to conduct a business analysis to improve its marketing spend. To conduct this analysis, the company’s marketing units are usually required to have their customers’ consent to use their data. However, customers will likely not consent to share their data, since the data might contain sensitive information, such as transactions, locations, and shopping information. In this scenario, using synthetic data generated from the customers’ data will enable the company to run an accurate simulation for the business analysis without requiring the consent of the customers. Since the synthetic data is generated based on the statistical properties of the actual data, it can be reliably used in such studies.

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