Soumil Datta

Soumil Datta

Ph.D. Student in Computer Science @ The University of Utah

About me

I am a Ph.D. student @ Kahlert School of Computing, University of Utah. I am jointly advised by Dr. Daniel Brown (ARIA Lab), & Dr. Guanhong Tao (SaLT Lab).

My research focuses on machine learning security and robustness at the intersection of generative AI and robotics. I am currently focused on securing generative models (LLMs, VLMs, Diffusion) against malicious manipulation, whether through adversarial prompts or compromised models, and on developing robust and generalizable foundations for trustworthy generation. My work also involves applying these security frameworks and identifying vulnerabilities in autonomous and robotic systems that rely on transformer-based architectures.

Ultimately, my goal is to uncover both vulnerabilities and defenses in AI systems, and to promote more robust, secure, and thoughtful model development as the field advances.

I received my M.S. in Computer Science from the University of Mississippi, under the supervision of Dr. Charles Walter @ the SPARC Lab, where I focused on exploiting the vulnerabilities and of the state-of-the-art object detection models to develop generalizable adversarial attacks.

Publications

Awards & Honors

Services

Subreviewer

  • S&P (IEEE Symposium on Security and Privacy): 2025, 2026
  • SaTML (IEEE Conference on Secure and Trustworthy Machine Learning): 2026
  • CCS (ACM Conference on Computer and Communications Security): 2025
  • NeurIPS (Conference on Neural Information Processing Systems): 2024, 2025