Given the popularity of social media and online streaming services, you have probably experienced how far machine learning (ML) can go in delivering personalized services. Even though this exciting field opens doors to many new possibilities and has become an indispensable part of our lives, training ML models requires the use of significant amounts of data collected in various ways. When this data is processed through ML models, it is essential to preserve the confidentiality and privacy of individuals and to maintain the trust of those who use these models.