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speech recognition, and autonomous driving, etc. However, due to the intrinsic vulnerability and the lack of rigorous verification, DL systems suffer from quality and security issues, such as the Alexa
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at the devices, and even if encryption is used to protect ML models, those models can be extracted during dynamic analysis. To secure on-device ML models, in this project, we aim to employ privacy-enhancing
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, operational, and security standards across all systems. To excel in this role, you should possess: A degree in Computer Science, Information Technology, or a related field. Extensive experience in designing and
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. This project is ideal for candidates with a strong background in cybersecurity, blockchain technology, or cryptography, who are interested in advancing the security of emerging financial technologies. 4o
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
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The Opportunity Build software that improves lives. Lead platforms trusted around the world. The globally recognised Monash FODMAP team is seeking a Senior Software Engineer to take a leading role in the design
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This project will investigate the security and privacy challenges emerging from the adoption of digital education credentials, such as W3C Verifiable Credentials. As universities and employers
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, this scholarship will provide students with a safe and secure place to live, learn and thrive. Total scholarship value Up to $16,000 Number offered One See details Bachelor of Education (Honours) in Secondary
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Artificial Intelligence (AI) models are widely used in decision making procedures in many real-world applications across important areas such as finance, healthcare, education, and safety critical