IEEE VIC CIS Talk on Enhancing Security in Software and AI

#CyberSecurity #CIS #IEEE #IoT


Category: Guest Speaker

Title:  Enhancing Security in Software and AI
Speaker: Prof Yang Xiang (IEEE Fellow), Swinburne University of Technology, Australia
Location: TBA, F2F
Time: 3.00 – 4.00 pm (AEST) Friday 6th October 2023
For further details, contact:   Malka N. Halgamuge, Chair VIC CIS (
VIC CIS Chapter website:

This is a part of the IEEE Victorian Computational Intelligence Society (CIS) series of talks. The online delivery is kindly hosted by IEEE Victorian Section.

  Date and Time




  • Date: 01 Dec 2023
  • Time: 03:00 PM to 04:00 PM
  • All times are (UTC+11:00) Canberra
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  • RMIT University
  • Melbourne, Victoria
  • Australia
  • Building: 80

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  • Co-sponsored by IEEE VIC CIS Chapter; IEEE VIC Section
  • Starts 15 September 2023 07:39 PM
  • Ends 01 December 2023 03:00 PM
  • All times are (UTC+11:00) Canberra
  • No Admission Charge


Prof Yang Xiang of Swinburne University of Technology, Australia


Enhancing Security in Software and AI

– Cybersecurity has emerged as one of the foremost priorities on the global research and development agenda today. The urgent need for new and innovative cybersecurity technologies capable of effectively addressing this pressing danger cannot be overstated. Software security is paramount to maintaining the integrity of modern software applications. Given the broad spectrum of real-world applications, different security challenges are evaluated based on the specific use case.


In this presentation, we will dissect a variety of security issues that have arisen in diverse applications, examining both the associated challenges and effective strategies in software security. We will delve into the technique of fuzzing, an efficient and effective automated process vital for software testing. Additionally, we will explore strategies for detecting security vulnerabilities in software. We will also scrutinize security considerations in binary code applications, including those in IoT devices and Windows low-level components. By viewing AI models as software, we will further address the significant security problems present within deep learning models.


Professor Yang Xiang received his PhD in Computer Science from Deakin University, Australia. He is currently a full professor and the Dean of Digital Research, Swinburne University of Technology, Australia. In the past 20 years, he has been working in the broad area of cyber security, which covers software, network, system, and application security. He has published more than 300 research papers in many international conferences and journals. He is the Editor-in-Chief of the SpringerBriefs on Cyber Security Systems and Networks. He serves as the Associate Editor of the ACM Computing Surveys. He served as the Associate Editor of IEEE Transactions on Dependable and Secure Computing, IEEE Internet of Things Journal, IEEE Transactions on Computers, and IEEE Transactions on Parallel and Distributed Systems. He is the Coordinator, Asia for IEEE Computer Society Technical Committee on Distributed Processing (TCDP). He is a Fellow of the IEEE.

Address:Melbourne, Australia

F2F & Virtual

To join the meeting, please come to RMIT University or use the Zoom details in the description - refreshment starts at 2.30 pm.

Please do not hesitate to contact the host if you have any queries (Dr Malka N. Halgamuge,