FIT5230 · Malicious AI

Overview

In this unit you will learn first-hand the required skills to eventually become a Chief AI / Data Officer. You will be exposed to the latest technologies deployed by attackers against AI and security, and mechanisms to counter these malicious activities. This unit will offer you the opportunity to be engaged in role-playing case studies wherein the coursework assessments will require you to be pitched against each other in a security warfare: security vs anti-security technologies, such as, deepfakes vs anti-deepfakes, adversarial machine learning vs counter adversarial machine learning.

Offerings

Assessment

The Handbook lists an examination for this unit.

This unit has threshold mark hurdles. You must achieve at least 45% of the available marks in the final scheduled assessment, at least 45% in total for in-semester assessments, and an overall unit mark of 50% or more to be able to pass the unit. If you do not achieve the threshold mark, you will receive a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. identify and analyse malicious technologies deployed by attackers against AI and security such as adversarial machine learning, deepfakes, generative adversarial networks, anti-security;
2. devise counter-anti-AI security technologies to combat the anti-AI security techniques deployed by attackers;
3. design and formulate AI security or anti-AI security techniques in real-world situations;
4. critically assess the level of security offered by existing AI and security systems;
5. expose students to the ethical principles and consequences between the dark side and AI for social good.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Student experience, not official rules. Nothing here changes what the Handbook says.