Key Takeaways
Upon completion of this course, the learner will be able to work in partnership with an AI specialist, if the learner is not already one himself/herself, to:
- Identify security, safety and privacy vulnerabilities of AI systems, including AI-specific cybersecurity risks, and recommend appropriate risk mitigation actions and recognise limitations, if any.
- Evaluate the appropriateness of AI for cybersecurity defence and identify their shortcomings, if any.
- Describe various AI-aided attack techniques and recommend appropriate mitigations or compensating controls.
- keep abreast of new developments in AI/ML security in order to assess the risks, if any, they pose to their organisation.
Who Should Attend
This course is intended for cybersecurity and cyber risk professionals who, together with AI specialists, need to:
- Formulate security policies, strategies or programmes or any related action plan to address the risks posed by using AI-based systems in their business processes and/or products.
- Understand the implications of AI-powered attack techniques to their cyber defences.
- Assess the appropriateness of AI-aided cyber defence solutions and their shortcomings, if any.
Digital professionals who incorporate AI in their systems in partnership with AI specialists and who satisfy course prerequisites are also welcome.
Pre-requisites
- Foundational cybersecurity and IT knowledge
- Understanding of a basic risk management methodology
- Foundational machine learning knowledge
- References to pre-course supplementary online courses and readings will be provided to confirmed participants, and participants are expected to do prior readings before attending the course
Important note
- Participants are required to use your own internet-enabled laptop with these recommended configuration; Intel Core i5 (sixth generation or newer) or equivalent, Microsoft Windows 10 Professional, 8GB (or higher) RAM. The recommended web browser is Google Chrome to access courseware on the ISS learning management system
- There will be no printed course materials issued
- A set of course materials in PDF format will also be provided to all confirmed participants
What Will Be Covered
This course will cover:
- Overview
- Threat Modelling AI systems
- Exploiting vulnerabilities in machine-learning-based AI systems
- Engineering risk mitigations for ML-based AI systems
- Harnessing AI for Cybersecurity Defence
- AI-powered Attacks and corresponding mitigations
Fees & Subsidies
Fees for 2024
| |
Full Fee |
Singaporeans & PRs
(self-sponsored) |
| Full course fee |
S$2700 |
S$2700 |
| ISS Subsidy |
- |
(S$270) |
| Nett course fee |
S$2700 |
S$2430 |
| 9% GST on nett course fee |
S$243 |
S$218.70 |
| Total nett course fee payable, including GST |
S$2943 |
S$2648.70 |
Note:
- All fees and subsidies are valid from January 2024, unless otherwise advised.
- All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
- From 1st January 2024, the GST will be increased to 9%.
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.