Carnegie Mellon University
About Me
I am a 6th year Societal Computing PhD candidate in the School of Computer Science at Carnegie Mellon University, 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, and cyber-physical systems. My PhD thesis focuses on making ML-based anomaly detection more effective for industrial control systems (NDSS '24, ESORICS '22). My prior research projects include: (i) client-side, ML-based DOM-XSS vulnerability detection (WWW '21) and (ii) attacking and defending multi-party federated learning systems (TPDS '21, RAID '20).
I finished my M.Sc. in computer science in 2018 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, to whom I owe a great deal.
I finished my B.A.Sc. in Systems Design Engineering in 2016 at the University of Waterloo, with 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 2223B
Recent News
- 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 ISC 2025.
- 03/2025 [Service]: Serving as a PC member for RAID 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!
- 07/2024 [Misc]: Passed my Thesis Proposal! Thank you to the audience and committee for their feedback.
- 07/2024 [Paper]: "Targeted Image Transformation for Improving Robustness in Long Range Aircraft Detection" accepted at IROS 2024!
- Older news
Happy to Connect!
Copyright © Clement Fung