PhD Researcher · GWU

Maryam Ghorbanvirdi

Privacy & Security in Autonomous Systems

About Me

Portrait of Maryam Ghorbanvirdi

Hi! I’m Maryam.

I am a PhD student in Computer Science at The George Washington University, researching security in autonomous systems through privacy-preserving mechanisms. My work investigates how runtime behavior in cyber-physical and real-time systems can leak sensitive information through timing and behavioral side channels.

I am particularly interested in indistinguishability-inspired techniques that make system execution less predictable while preserving utility and safety.

Currently, I am working on differential privacy mechanisms to improve the security of such systems. More broadly, I aim to design security methods that are practical for real-world autonomous systems.

What I am doing these days...

Selected papers & work under review.

Publications

2026
SoK: Differential Privacy in Cyber-Physical and Autonomous SystemsUnder review
M. Ghorbanvirdi — a taxonomy of DP in CPS and the Harpo privacy–utility–safety evaluation framework.
2022
Energy Efficient Multi-Clustering Using Grey Wolf Optimizer in Wireless Sensor Networks
M. Ghorbanvirdi, S. M. Mazinani — International Journal of Information and Communication Technology Research.
2021
EEMC: Energy Efficient Multi-Clustering Using Grey Wolf Optimizer in WSNs
M. Ghorbanvirdi, S. M. Mazinani — 11th International Conference on Computer Engineering and Knowledge (ICCKE).

Differential Privacy

Adjust epsilon (ε) to see how privacy and noise change. Lower epsilon = stronger privacy but more noise. The noisy observation re-samples live — every release is a fresh draw.

ε 1.2

Teal line: true trajectory  |  Sage line: DP-noisy observations

Contact Me

Hello! Thanks for stopping by. If you have questions, collaboration ideas, or just want to say hi, feel free to email me at maryam.ghorbanvirdi@gwu.edu or use the form below.