Privacy Issues in Real Data
ML is becoming an essential part of our daily lives due to its varied applications. Thus, there is a growing concern about privacy issues in ML. Datasets and trained ML models may disclose personal and sensitive information, such as political views, biometric data, mental health, sexual orientation, and other private information.
In this chapter, we will learn about privacy issues and why this is a concern in ML. Furthermore, we will provide a brief introduction to privacy-preserving ML.
In this chapter, we’re going to cover the following main topics:
- Why is privacy an issue in ML?
- What exactly is the privacy problem in ML?
- Privacy-preserving ML
- Real data challenges and issues
