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Introduction to Data Privacy, Privacy Breaches, and Threat Modeling
Privacy-preserving machine learning (ML) is becoming increasingly important in today’s digital age, where the use of personal data is ubiquitous in various industries, including healthcare, finance, and marketing. While ML can bring many benefits, such as improved accuracy and efficiency, it also raises significant concerns about privacy and security. Many individuals are increasingly concerned about the risks associated with the use of their personal data, including unauthorized access, misuse, and abuse. Furthermore, there are regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) that require organizations to comply ...
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