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TZID:Pacific/Auckland
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DTSTART:19700927T020000
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TZOFFSETFROM:+1200
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BEGIN:VEVENT
CATEGORIES:ECS Seminars
CONTACT:Professor M. Ali Babar (University of Adelaide)\, Dr. Triet Le (Uni
 versity of Adelaide)\, Dr. Etienne Borde (University of Canterbury\, New Z
 ealand)\, Dr. Mengmeng Ge (Monash University) 
DESCRIPTION:The Owhiti Cybersecurity research group are hosting a seminar f
 eaturing four presentations on artificial intelligence applications in cyb
 ersecurity. \n\nProfessor M. Ali Babar (University of Adelaide) will prese
 nt findings on the empirical evaluation of Large Language Models for softw
 are security. His talk covers the technological\, organizational\, and soc
 io-psychological aspects of leveraging LLMs for security-by-design paradig
 ms\, addressing methodological considerations and challenges in conducting
  evaluation studies of LLM-based security tools.\n\nDr. Triet Le (Universi
 ty of Adelaide) will discuss data-centric solutions for AI-powered softwar
 e vulnerability prediction. Based on large-scale empirical studies across 
 hundreds of real-world projects\, the presentation examines how identifyin
 g latent vulnerabilities\, automatic labeling\, noise-reduction strategies
 \, and contextual data augmentation can improve the performance and reliab
 ility of vulnerability prediction models.\n\nDr. Etienne Borde (University
  of Canterbury\, New Zealand) will present a framework for optimizing Movi
 ng Target Defense (MTD) strategies using reinforcement learning and multi-
 agent simulation. Based on work published at ARES 2025\, the talk introduc
 es a reward function that models trade-offs between security and system av
 ailability\, and discusses challenges including scalability and realism of
  attacker behaviors.\n\nDr. Mengmeng Ge (Monash University) will present t
 hree intrusion prevention mechanisms for IoT networks: graphical security 
 modeling approaches for assessing system vulnerabilities\, cyber deception
  techniques\, and moving target defense strategies to protect resource-con
 strained IoT devices from cyberattacks.
DTEND;TZID=Pacific/Auckland:20251121T120000
DTSTAMP:20260617T062600Z
DTSTART;TZID=Pacific/Auckland:20251121T100000
LOCATION:AMLT105\, Alan MacDiarmid  105
ORGANIZER:Professor M. Ali Babar (University of Adelaide)\, Dr. Triet Le (U
 niversity of Adelaide)\, Dr. Etienne Borde (University of Canterbury\, New
  Zealand)\, Dr. Mengmeng Ge (Monash University) 
SUMMARY:Professor M. Ali Babar (University of Adelaide)\, Dr. Triet Le (Uni
 versity of Adelaide)\, Dr. Etienne Borde (University of Canterbury\, New Z
 ealand)\, Dr. Mengmeng Ge (Monash University)  - AI and Cybersecurity
UID:seminar_ecs1428_20251028155318
URL:https://vuw-my.sharepoint.com/:b:/g/personal/welchia_staff_vuw_ac_nz/EY
 yN1nOaWudDsZMg1dxSIYsB9dGdqvvEuLEopo2bbHjt0Q?e=fQx6sl
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