Mian Yang

Mian Yang

Rutgers University

Welcome!

I am a fourth-year PhD candidate at Rutgers University, working under the guidance of Professor Vijay Atluri. My research integrates Access Control, Privacy Analysis, and Graph Analysis, with the goal of developing AI-driven frameworks that leverage Large Language Models (LLMs) to interpret natural language policies and ensure regulatory compliance in data security environments.

News

  • [2025.11] Successfully defended my dissertation proposal.
  • [2025.10] Catch me in Atlanta this October—I’ll be presenting at the INFORMS 2025 Annual Meeting 🎤.
  • [2025.05] Our paper “Extraction of Machine Enforceable ABAC Policies from Natural Language Text using LLM Knowledge Distillation” accepted to SACMAT 2025, New York. 🗽
  • [2025.05] Our paper “Automated Privacy Policy Analysis using Large Language Models” accepted to DBSec 2025, Gjøvik, Norway. 🇳🇴
  • [2024.07] Our paper “A Graph-Based Framework for ABAC Policy Enforcement and Analysis” received the Best Student Paper Award at DBSec 2024, San Jose, CA .🎉
  • [2024.05] Our paper “A Graph-Based Framework for ABAC Policy Enforcement and Analysis” accepted to DBSec 2024, San Jose, CA.🌉

Publication

Yang, M., Atluri, V., Sural, S., Kundu, A. (2025). Extraction of Machine Enforceable ABAC Policies from Natural Language Text using LLM Knowledge Distillation. In: Proceedings of the 30th ACM Symposium on Access Control Models and Technologies (SACMAT ‘25). ACM, New York, NY, USA, pp. 157–168. https://doi.org/10.1145/3734436.3734447

Yang, M., Atluri, V., Sural, S., Kundu, A. (2025). Automated Privacy Policy Analysis Using Large Language Models. In: Katsikas, S., Shafiq, B. (eds) Data and Applications Security and Privacy XXXIX. DBSec 2025. Lecture Notes in Computer Science, vol 15722. Springer, Cham. https://doi.org/10.1007/978-3-031-96590-6_2

Yang, M., Atluri, V., Sural, S., Vaidya, J. (2024). A Graph-Based Framework for ABAC Policy Enforcement and Analysis. In: Ferrara, A.L., Krishnan, R. (eds) Data and Applications Security and Privacy XXXVIII. DBSec 2024. Lecture Notes in Computer Science, vol 14901. Springer, Cham. https://doi.org/10.1007/978-3-031-65172-4_1 Best Student Paper Award 🏆