TrustworthyAI

Robustness and Security of Vision–Language Models
We investigate how multimodal foundation models can be attacked and defended, characterizing threats that target not just outputs but the internal reasoning of vision–language models.
Robustness and Security of Vision–Language Models
Long-Term Risks in ML Systems
This project investigates how feedback loops in ML systems can cause long-term, harmful impacts, and develops tools to detect, analyze, and prevent them before deployment.
Long-Term Risks in ML Systems