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Alright, with the fundamentals in place, let's dig into the core concepts of **AI security**. This includes model security, data security, and adversarial machine learning. Model security focuses on protecting the AI models themselves from attacks. This includes techniques like model hardening and differential privacy. Data security is all about protecting the data used to train AI models. This means preventing data poisoning and ensuring data privacy. Adversarial machine learning is the study of how attackers can fool AI models by crafting malicious inputs. Understanding these attack methods and defenses is a must-have skill.
