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the Ph.D. Our recent works on AI privacy and security: Practical Bayes-Optimal Membership Inference Attacks, NeurIPS 2025, https://arxiv.org/pdf/ 24089 Secure Aggregation is Not Private Against Membership
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, it also exposes them to new and critical security risks that remain poorly understood. Among these risks, memory poisoning attacks pose a severe and immediate threat to the reliability and security
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Ant Digital Twins for food safety. This is a 3-year position linked to the D-CRISP project . The candidate is to research, develop and demonstrate a methodology for building and integrating digital
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research prototypes that the community can benefit from. The SCS group is internationally recognized in the broad areas of systems, AI, and data security and is unique for its collaborative and friendly
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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MTD techniques are in preventing attacks is difficult. 5) MTD must coexist with traditional security measures like firewalls, IDS/IPS, and endpoint protection; 6) Frequent reconfigurations and
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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
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the future? PhD Candidate in Data-Driven Methods and Sustainable Materials for Offshore Wind Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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This project develops quantum-AI tools to optimise urban hydroponic food systems and evaluate their therapeutic impact on student well-being. The expected outcome is to create quantum-reinforced AI