FIT5230
Malicious AI
基本信息
| 学分 | 6 credit points |
|---|---|
| 开课学期 | Second semester |
| 校区 | Malaysia |
| 考核构成 | Scheduled final assessment (2 hours and 10 minutes) — 50% Assignment Milestone 3 — 25% Assignment Milestone 2 — 8% Assignment Milestone 1 — 2% Assignment Milestone 4 — 15% |
开课安排1 条
| 教学期 | 授课方式 | 状态 |
|---|---|---|
| Second semester | Teaching activities are on-campus (ON-CAMPUS) | 开课 |
以上为该校区在官方资料中登记的全部开课安排，不是汇总。同一门课可能在多个 教学期开课，也可能不同教学期的授课方式不同。
课程简介
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.
以上为 Monash Handbook 的官方原文，版权属 Monash University，此处按本站要求转载并标注出处： 官方页面 ↗
学习成果5 条
官方原文（Learning outcomes），版权属 Monash University。
- ULO1 identify and analyse malicious technologies deployed by attackers against AI and security such as adversarial machine learning, deepfakes, generative adversarial networks, anti-security;
- ULO2 devise counter-anti-AI security technologies to combat the anti-AI security techniques deployed by attackers;
- ULO3 design and formulate AI security or anti-AI security techniques in real-world situations;
- ULO4 critically assess the level of security offered by existing AI and security systems;
- ULO5 expose students to the ethical principles and consequences between the dark side and AI for social good.
教学方式与预期工作量
教学方式
Role play
Peer assisted learning
Active learning
预期工作量
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.
官方原文，版权属 Monash University。
先修 / 同修要求
以下先修关系按官方来源的结构化先修字段解析，原始记号：FIT9136
同修要求（必须在同一学期一起修）
同修课和先修课不是一回事：先修是修过才能选，同修是必须同期一起选。原始记号：FIT5047 OR FIT5197
先修链路
按官方先修字段的原始分组展开，AND / OR 的区别保留着—— 「A 或 B」和「A 与 B」在选课时是两回事。每门课点进去可以继续往下看。
属于这些学位2 个
这门课出现在下列学位的官方结构里。反过来说：如果你读的是这些学位之一，它大概率是要修的 （必修还是选修取决于它在 Part 里的位置，点进去看结构）。
数据来源
- 数据来源
- 官方网页
handbook.monash.edu ↗ - 抓取时间
- 2026-09-13
- 可信度
- 程序抓取，未人工核实
查看官方完整描述 ↗ — 事实性字段（代码、学分、教学期、授课方式、考核权重、先修/同修/互斥关系）与 课程简介、学习成果、教学方式、预期工作量均取自官方 Handbook； 正文版权属 Monash University，此处转载并逐处标注出处。
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