My research expertise lies in the realm of trustworthy machine learning, with a specific focus on adversarial/backdoor attacks and defenses, across various domains, including computer vision, natural language processing, self-supervised learning, and federated learning.
My current focus is on real-world applications, e.g., large language models (LLMs) and diffusion models. I am actively engaged in exploring and addressing the intricate security and privacy concerns in these sophisticated systems.