University of Maryland, Baltimore County (UMBC)
About Me
I am an Assistant Professor in the UMBC Department of Computer Science and Electrical Engineering.
Work with me!
📢 Multiple funded Ph.D. positions are available in my research group. If you are motivated to work on challenging research problems at the intersection of security, AI, and critical infrastructure, please email me with your CV and a brief description of your research interests.
My research interests are at the intersection of security, machine learning (ML), and cyber-physical systems. In particular, I develop ML-based techniques and guidelines for securing industrial control systems (ICS). This involves:
- Evaluating models and techniques for detecting anomalies (ESORICS '22, FMSD '26)
- Designing attribution methods to aid with anomaly diagnosis (NDSS '24)
- Interviewing practitioners to understand needs and opportunities for ML in ICS (SOUPS '25)
- Data augmentation techniques to improve anomaly detection systems (TAI '25, IROS '24)
- ML-based DOM-XSS vulnerability detection (WWW '21)
- Attacks and defenses for multi-party federated learning systems (TPDS '21, RAID '20)
I completed my Ph.D. (2025) in the Software and Societal Systems Department in the School of Computer Science at Carnegie Mellon University, advised by Lujo Bauer. I was a member of CyLab, the security and privacy institute at CMU.
I finished my M.Sc. (2018) in Computer Science at the University of British Columbia, as a member of the Networks, Systems and Security (Systopia) Lab. I built systems for private and secure multi-party machine learning with Ivan Beschastnikh.
I finished my B.A.Sc. (2016) in Systems Design Engineering at the University of Waterloo, which included multiple internships spanning a variety of projects: from developing tools for bio-informatics research to building online machine-learning infrastructure at LinkedIn.
I also help maintain the Security and Privacy Conference Deadlines webpage.
Contact
Email : clementfung [at] umbc [dot] edu
Physical : ITE 333
Recent News
- 06/2026 Teaching: I will be designing and teaching a new course at UMBC: CMSC 491/691 - Applied AI for Cybersecurity.
- 06/2026 Paper: "On the Application of Time-Series Foundation Models for Detecting Long-Context Anomalies in Industrial Control Systems" accepted at FMSD @ ICML 2026!
- 05/2026 Service: Serving as a PC member for RAID 2026.
- 02/2026 Service: Serving as a PC member for CPSS 2026, ACM SoCC 2026, and VehicleSec 2026.
- 11/2025 Paper: Published a new arXiv preprint from work led by multiple undergraduate and masters students: Attacking Autonomous Driving Agents with Adversarial Machine Learning: A Holistic Evaluation with the CARLA Leaderboard. Thank you for all your hard work!
- 10/2025 Award: I won a PhD Student Research Award at RSTCON 2025 and will be speaking in Savannah, GA!
- 09/2025 Misc: I have defended my PhD thesis at CMU! Thank you to my thesis committee and my collaborators for all their support!
- 08/2025 Talk: Speaking at SOUPS 2025 and presenting a research poster at USENIX Security 2025 in Seattle!
- 05/2025 Paper: "Adopting AI to Protect Industrial Control Systems: Assessing Challenges and Opportunities from the Operators' Perspective" accepted at SOUPS 2025!
- 04/2025 Paper: "Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data" accepted in IEEE Transactions on Artificial Intelligence (TAI)!
- Older news
Happy to Connect!
Copyright © Clement Fung