RESEARCH
Research at the intersection
of AI and cybersecurity.
My research examines the security, reliability, fairness, and robustness of AI systems, with a particular focus on biometric security and machine-learning-enabled cybersecurity.
Fairness-Aware Face Presentation Attack Detection
My initial research investigated demographic disparities in Face Presentation Attack Detection systems and explored methods for reducing performance differences between demographic groups.
Explore this research →Architectural Bias in Face PAD
The second phase examined whether the choice of neural architecture itself can contribute to demographic differences in Face Presentation Attack Detection.
Explore this research →Fairness Under Distribution Shift
The third phase asks whether fairness observations remain reliable when models are evaluated across datasets and repeated across random seeds.
Explore this research →Current AI Security Research
My current research includes Microsoft-funded work involving malware analysis and the evaluation of security systems against evolving threats.