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Dr. Mulong Luo
Large Language Models (LLMs)
Reinforcement Learning
AI For Security
Secure Computer Systems Design
Safety Assurances For AI
About
Dr. Luo’s research spans the broad areas of computer security, computer systems, AI for security, and AI security. In particular, he is interested in how modern AI techniques—such as large language models (LLMs) and reinforcement learning—can help build more secure computer systems, as well as how computer systems should be designed to provide stronger safety assurances for AI.
Research Performance Summary
2013-2025
Active Research Span
First Recorded Paper
A unified approach for trap-aware device/circuit co-design in nanoscale CMOS technology
Year:
2013
Citations:
37
Venue:
2013 IEEE International Electron Devices Meeting, 33.5. 1-33.5. 4
Latest Recorded Paper
Towards reinforcement learning for exploration of speculative execution vulnerabilities
Year:
2025
Citations:
1
Venue:
arXiv preprint arXiv:2502.16756
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Luo
Suh
Gupta
Research Impact by Period
Papers
2
Citations
3
Avg. Citations / Paper
1.5
H-Index
1
Papers
11
Citations
121
Avg. Citations / Paper
11
H-Index
5
Papers
9
Citations
203
Avg. Citations / Paper
22.6
H-Index
5
Papers
2
Citations
134
Avg. Citations / Paper
67
H-Index
2
Contact and Professional Links
Detected Research Keywords
Vulnerability Hardware Neural
Hardware Neural Networks
Neural Networks Dynamic
Cache Timing Attacks
Cyber Physical Systems
Mitigating Tenant Interference