Carnegie Mellon University
About Me
📢 I will be joining the UMBC Department of Computer Science and Electrical Engineering as a tenure-track assistant professor in Fall 2026. If you are interested in collaborating, please reach out!
I am currently a postdoctoral research associate in the Software and Societal Systems Department in the School of Computer Science at Carnegie Mellon University, where I recently defended my Ph.D. (Fall 2025) in Societal Computing, advised by Lujo Bauer. I am a member of CyLab, the security and privacy institute at CMU.
My research interests are at the intersection of security, machine learning (ML), and cyber-physical systems. My Ph.D. thesis proposes ML-based techniques and guidelines for making anomaly-detection systems more effective at securing industrial control systems (ICS). This involves:
- Evaluating which models and techniques perform best (ESORICS '22)
- 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 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 : clementf [at] andrew [dot] cmu [dot] edu
Physical : CIC 2207
Recent News
- 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