Cyber ACN
Generative AI research for secure medical data sharing, anonymisation, synthetic datasets, and adversarial robustness.
Cybersecurity Research
Cyber ACN
Generative AI research for secure medical data sharing, anonymisation, synthetic datasets, and adversarial robustness.
Overview
Cyber ACN studies secure medical data sharing through generative artificial intelligence. The project material focuses on synthetic medical data, anonymisation, and robust AI pipelines that can support collaboration while reducing exposure of sensitive data.
The research plan includes adversarial robustness, model hardening, penetration testing, differential privacy, and benchmarks for evaluating the security of generative medical AI systems.
Research Directions
- Generative models for synthetic medical datasets that support secure sharing.
- Adversarial training, penetration testing, and model hardening against cyber threats.
- Differential privacy and benchmark workflows for privacy-preserving medical AI.