Research Focus

I am a PhD student at the University of California, Riverside (UCR), advised by Dr. Emiliano De Cristofaro. My research sits at the intersection of Security, Privacy, and Machine Learning, and I am currently working across several threads:

• Federated learning: privacy auditing in Vertical Federated Learning (VFL), and the application and implications of trustworthy ML frameworks in O-RAN.
• Side channels in multimodal AI: measuring privacy leakage from prompt caching in commercial multi-modal APIs.
• Privacy of shared data: the privacy and utility of synthetic data generators, and tenant re-identification in pseudonymized multi-tenant SOC alert data.
• AI-assisted writing: measuring AI-assisted text editing beyond prompt-template leakage.

Before this, I worked on Cloud Security with a focus on container runtime protection. See Projects for more on my current work.

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