Ming "Fred" Li

Professor of Electrical and Computer Engineering
Thomas R. Brown Endowed Fellow
University Distinguished Scholar in Electrical and Computer Engineering
Member of the Graduate Faculty

Ming Li is a university distinguished scholar and professor in the Department of Electrical and Computer Engineering at the University of Arizona and is an affiliated faculty with the Computer Science Department. He was an assistant professor in the Computer Science Department at Utah State University from 2011 to 2015. He received his PhD in ECE from Worcester Polytechnic Institute in 2011. His main research interests are wireless and cybersecurity, with current emphases on cross-layer optimization and machine learning in wireless networks, wireless physical layer security, privacy-enhancing technologies, and cyber-physical system security. He received the NSF Early Faculty Development (CAREER) Award in 2014, and the ONR Young Investigator Program (YIP) Award in 2016. He is a fellow of IEEE (Class of 2024) and a member of ACM.

Degrees

  • PhD Electrical and Computer Engineering, Worcester Polytechnic Institute, 2011
  • MS Electronic and Information Engineering, Beihang University, 2008

Teaching Interests

Computer and network security, cryptography and data security, wireless security and cybersecurity, computer networks, wireless networks, and data structure and algorithms

Research Interests

Information security and privacy, wireless networking, wireless security and cybersecurity, and security in cyber-physical systems

Textbooks/Most Significant Publications

  • Chenyi Wang, Raymond Muller, Ruoyu Song, J-P. Monteuuis, Jonathan Petit, Yanmao Man, Ryan Gerdes, Z. Berkay Celik, and Ming Li, “From Threat to Trust: Exploiting Attention Mechanisms for Attacks and Defenses in Cooperative Perception,” The 34th USENIX Security Symposium (USENIX Security), Seattle, WA, August 2025.
  • Xiaolan Gu, Ming Li, Li Xiong, "DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum,"
    The 34th USENIX Security Symposium (USENIX Security), Seattle, WA, August 2025.
  • Yanmao Man, Raymond Muller, Ming Li, Z. Berkay Celik, and Ryan Gerdes,  "That Person Moves Like A Car: Misclassification Attack Detection for Autonomous Systems using Spatiotemporal Consistency," The 32nd USENIX Security Symposium (USENIX Security), Anaheim, CA, August 2023.
  • Yanmao Man, Ming Li, and Ryan Gerdes, "Remote Perception Attacks against Camera-based Object Recognition Systems and Countermeasures," ACM Transactions on Cyber-Physical Systems (TCPS), April 2023.
  • Ziqi Xu, Jingcheng Li, Yanjun Pan, Loukas Lazos, Ming Li, and Nirnimesh Ghose,  "PoF: Proof-of-Following for Vehicle Platoons," The 29th Network and Distributed System Security Symposium (NDSS), San Diego, CA, April 2022.
  • Yanjun Pan, Alon Efrat, Ming Li, Boyang Wang, Hanyu Quan, Joseph Mitchell, Esther Arkin and Jie Gao, "Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach," The 21st International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), October 11-14, 2020 (Acceptance rate: 15%).
  • Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong and Yang Cao, "PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility," 2020 USENIX Security Symposium (USENIX Security), August 2020, Boston, MA.
  • Mingshun Sun, Yanmao Man, Ming Li, and Ryan Gerdes, "SVM: Secure Vehicle Motion Verification with a Single Wireless Receiver," The 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec), July 2020 (Best Paper Award).
  • Yanjun Pan, Yao Zheng and Ming Li, "ROBin: Known-Plaintext Attack Resistant Orthogonal Blinding via Channel Randomization," IEEE INFOCOM 2020, April 2020, Beijing, China (Acceptance rate: 19.8%).
  • Boris Aronov, Alon Efrat, Ming Li, Jie Gao, Joseph S. B. Mitchell, Valentin Polishchuk, Boyang Wang, Hanyu Quan, Jiaxin Ding, "Are Friends of My Friends Too Social? Limitations of Location Privacy in a Socially-Connected World," The Nineteenth International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc), Los Angeles, June 2018 (Acceptance rate: 16.9%).
  • Nirnimesh Ghose, Loukas Lazos and Ming Li, "HELP: Helper-Enabled In-Band Device Pairing Resistant Against Signal Cancellation,''
    26th USENIX Security Symposium (USENIX Security), Vancouver, BC, Canada, August 2017.
  • Kai Zeng, Wenjing Lou and Ming Li. "Multihop Wireless Networks: Opportunistic Routing," Wiley, 2011.
     
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