Ph.D. Student · Kahlert School of Computing · University of Utah

Soumil Datta

I study how AI systems break, so we can build ones worth trusting.

My research sits at the intersection of machine learning security, generative AI, and robotics: adversarial attacks and defenses for LLMs, VLMs, and diffusion models, and the robustness of learning-based autonomous systems. I'm jointly advised by Daniel Brown (ARIA Lab) and Guanhong Tao (SaLT Lab).