Carnegie Mellon University
About Me
I am 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.
📢 I am applying for tenure-track positions in the upcoming academic cycle, for positions starting Fall 2026. If you have relevant leads, please reach out!
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 currently maintain the Security and Privacy Conference Deadlines webpage.
Contact
Email : clementf [at] andrew [dot] cmu [dot] edu
Physical : CIC 2207
Recent News
- 02/2025 [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)!
- 03/2025 [Service]: Serving as a PC member for RAID 2025 and ISC 2025.
- 01/2025 [Misc]: Officially completed the CMU Eberly Future Faculty Program, a program designed to help students develop teaching skills in preparation for a faculty career. Thank you to the Eberly consultants who helped me throughout the process!
- 11/2024 [Award]: Best Poster Award at the 2024 IAP CMU Workshop on the Future of AI and Security in the Cloud!
- 10/2024 [Talk]: With funding from the DAAD AINet Fellowship, I visited Germany and gave research talks at KIT, MPI-SWS, and CISPA. Thank you to the faculty who hosted me and to all who met with me!
- 10/2024 [Talk]: Presented an overview of my dissertation at a CAE-R Research Symposium as part of the 2024 National Cybersecurity Education Colloquium in St. Louis!
- Older news
Happy to Connect!
Copyright © Clement Fung