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development process for DL, covering requirement analysis, data collection and labeling, data cleaning, network design, training, testing, and operation. Required knowledge deep learning, natural
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In recent years, the rise in cybercrimes has significantly increased the vulnerability of the open internet to various threats and cyber-attacks. Among these, phishing stands out as one of the most perilous crimes worldwide. In a phishing attack, perpetrators create fraudulent websites that...
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The...
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Scholar, 2022 Future Leader Alex Wulff The Westpac Scholars Program is more than just a scholarship to me; it is an amazing opportunity to connect and collaborate with a supportive, diverse and inclusive
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. This would provide thousands of diverse example images with corresponding body part locations. These data would be used to train a deep learning model 5, 7 . The model’s high-quality body part predictions may
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Bachelor of Occupational Therapy (Honours) The Betty Amsden program helped me gain clarity about my career pathway and increase my confidence. I think these were strong contributing factors to excelling in
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that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models
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or conference of high repute Project funding Project based scholarship
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/edges or the changes in the “normal” concept over time. Once we proposed relevant methods we intend to further extend the approach to be able to detect anomalies in high dimensional settings as the
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. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data