Our research is focused on addressing the interconnected challenges of privacy, fairness, and security to promote the safe use of artificial intelligence (AI) algorithms in real-world systems. Our goal is to develop innovative solutions that enable privacy-preserving, fairness-aware, and security-enhanced machine learning. To achieve this goal, we are pursuing two key problem thrusts:
(i) We are developing comprehensive approaches for reliable AI while considering security and privacy threats.
(ii) We are addressing the need for realistic threat models and evaluation for security-aware algorithms.
We are committed to advancing the field of artificial intelligence in a responsible and ethical manner. We believe that these three pillars are critical for building AI systems that are safe and beneficial for individuals, industry, and society.