Projects

A collection of projects to identify the adversarial risks in practical AI models and to build reliable intelligent systems.

Trustworthy AI

To expose the vulnerabilities of LLMs in time series forecasting by three distinct black-box adversarial attacks.

Two model-agnostic solutions to improve deep learning–based traffic forecasting.