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, transfer learning, pruning, etc. Research Task II : Apply privacy-enhancing techniques such as secure multi-party computation, homomorphic encryption, differential privacy, and trusted execution to
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multi-modal clinical and laboratory data, integrating basic demographics (e.g., age and menopausal status) with routine blood parameters, acute-phase reactants, liver function profiles, and tumor
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comprehensively explore the following directions: 1) Investigate privacy-enhancing techniques (e.g., differential privacy and/or secure multi-party computation) and design protocols to secure model updates
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the Clayton campus. Core PhD Question How can we design future medical AI systems that remain secure, privacy-preserving, explainable, and clinically reliable when exposed to adversarial attacks, prompt
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the Clayton campus. Core PhD Question How can we design future medical AI systems that remain secure, privacy-preserving, explainable, and clinically reliable when exposed to adversarial attacks, prompt
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the Clayton campus. Core PhD Question How can we prevent AI systems, advertisers, platforms, and malicious actors from constructing psychological profiles of social media users while still allowing
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the Clayton campus. Core PhD Question How can we prevent AI systems, advertisers, platforms, and malicious actors from constructing psychological profiles of social media users while still allowing