Robustness of AI systems - Privacy Attacks

In this nugget, we will explore the third and final category of attacks on AI/ML systems, focusing on privacy attacks. You will gain a clear and comprehensive definition of what privacy attacks entail and why they are of paramount importance for machine learning security.We will then delve into the diverse facets of privacy attacks, examining various types aligned with the established taxonomy commonly used in the field. This will provide a structured understanding of the landscape of privacy threats.Towards the conclusion of the session, we will introduce a range of effective mitigation strategies to safeguard privacy in AI/ML systems. By the end of this nugget, you will be well-versed in recognizing and countering privacy attacks, contributing to the secure and responsible use of machine learning technology.