Trustworthy AI and AI Safety:

​

1. Investigate adversarial attacks on machine learning and large language models to enhance system robustness

2. Explore fairness and explainability within AI systems to ensure decisions are just and understandable

​

Privacy Preserving Systems:

​

1. Explore potential privacy preserving techniques in different domains, with a focus on electronic health care data and financial data

2. Investigate the design of optimum privacy mechanism to minimize the privacy leakage

​

Federated Learning:

​

1. Investigate cybersecurity issues in heterogeneous federated learning

2. Assess the efficacy of privacy-enhancing technologies in safeguarding federated learning networks