FIT3210 Securing artificial intelligence systems

This unit introduces how artificial intelligence (AI) systems are designed, deployed, and secured within modern computing environments, and considers how AI systems can act as targets, attack surfaces, and defensive tools. It covers foundational concepts of AI and machine learning to support understanding of how these systems operate, and examines vulnerabilities that arise across the AI lifecycle, including data, model, and deployment layers. You will explore key security challenges in modern AI systems, including adversarial techniques and how they exploit weaknesses in AI models and applications. You will evaluate emerging defences, and assess risks related to misuse, privacy, and ethics, alongside governance and responsible use. You will apply strategies to improve the security and robustness of AI systems, and develop the ability to communicate security risks and findings to both technical and non-technical audiences.