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    Design of intrusion detection systems for vehicular networks by Liang, Junwei

    Published 2021
    “…With the explosive growth of traffic on road and the rapid evolution of autonomous vehicles, the vulnerability of Vehicular Ad Hoc Networks (VANETs) has become a critical issue as the networks handle the crucial information directly related to human safety. …”
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    Thesis-Doctor of Philosophy
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    Backdoor attacks in neural networks by Liew, Sher Yun

    Published 2024
    “…As artificial intelligence becomes increasingly integrated in our daily lives, neural networks can be found in applications of deep learning in a multitude of critical domains, encompassing facial recognition, autonomous vehicular systems, and more. This pervasive integration, while transformative, has brought about a pressing concern: the potential for disastrous consequences arising from malicious backdoor attacks in neural networks. …”
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    Final Year Project (FYP)
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